WO2020088482A1 - Procédé de prédiction inter-trame orienté mode de prédiction affine et appareil associé - Google Patents

Procédé de prédiction inter-trame orienté mode de prédiction affine et appareil associé Download PDF

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WO2020088482A1
WO2020088482A1 PCT/CN2019/114142 CN2019114142W WO2020088482A1 WO 2020088482 A1 WO2020088482 A1 WO 2020088482A1 CN 2019114142 W CN2019114142 W CN 2019114142W WO 2020088482 A1 WO2020088482 A1 WO 2020088482A1
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processed
gbi index
index number
image block
block
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PCT/CN2019/114142
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English (en)
Chinese (zh)
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陈焕浜
杨海涛
张恋
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华为技术有限公司
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51—Motion estimation or motion compensation
    • H04N19/513—Processing of motion vectors
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/103—Selection of coding mode or of prediction mode
    • H04N19/109—Selection of coding mode or of prediction mode among a plurality of temporal predictive coding modes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/46—Embedding additional information in the video signal during the compression process
    • H04N19/463—Embedding additional information in the video signal during the compression process by compressing encoding parameters before transmission
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51—Motion estimation or motion compensation
    • H04N19/577—Motion compensation with bidirectional frame interpolation, i.e. using B-pictures
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Definitions

  • the invention relates to the field of video coding and decoding, and in particular to a method and device for inter prediction.
  • Video encoding (video encoding and decoding) is widely used in digital video applications, such as broadcast digital TV, video transmission on the Internet and mobile networks, video chat and video conferencing and other real-time conversation applications, DVD and Blu-ray discs, video content acquisition and editing systems And security applications for camcorders.
  • Video coding standards include MPEG-1 video, MPEG-2 video, ITU-T H.262 / MPEG-2, ITU-T H.263, ITU-T H.264 / MPEG-4 Part 10 Advanced Video Coding ( Advanced Video Coding (AVC), ITU-T H.265 / High Efficiency Video Coding (HEVC) ... and extensions of such standards, such as scalability and / or 3D (three-dimensional) extensions.
  • AVC Advanced Video Coding
  • HEVC High Efficiency Video Coding
  • HEVC High Efficiency Video Coding
  • Embodiments of the present invention provide an inter-frame prediction method and device for video images, and corresponding encoders and decoders, to a certain extent, improve the prediction accuracy of motion information of image blocks, and improve the performance of encoding and decoding.
  • an embodiment of the present invention provides an inter prediction method based on an affine prediction mode, which includes: acquiring GBi index numbers (the Generalization) of multiple control points of an image block (or current block) to be processed Bi-prediction weight); determine the weight value corresponding to the reference frame (for example, a reference frame in a certain direction) of the image block to be processed according to the GBi index numbers of the multiple control points; weight according to the weight value Prediction to obtain the predicted value of the image block to be processed.
  • GBi index numbers the Generalization of multiple control points of an image block (or current block) to be processed Bi-prediction weight
  • the GBi index numbers of the multiple control points are derived from different processed image blocks, and the GBi index numbers of the multiple control points are used to determine the processed image in Generalized Bi-prediction
  • the weight value of the reference frame of the block that is, there is a correspondence between the GBi index number and the weight value
  • the weight value corresponding to the reference frame of the processed image block indicates that the pixel value of the reference frame of the processed image block is Describe the weight in generalized bidirectional prediction.
  • the “GBi index number” involved in the present invention may be named by other names, such as weight value index, index information, GBi index information, GBi weight value index, etc.
  • it may also be referred to as an "average weighted bidirectional prediction (Bi-prediction with weighted averaging (BWA)) index number", which is not limited in the present invention.
  • the weight value of the reference frame of the current block to be processed can be quickly determined, based on the weight Value for weighted prediction to ensure the normal progress of the bidirectional prediction coding process and improve coding efficiency and accuracy.
  • the to-be-processed image includes multiple sub-blocks, and the motion vectors of the multiple control points are respectively determined by motion vectors of different adjacent processed blocks (for example, based on simulation
  • the inter-frame prediction process of the radio prediction mode adopts a constructed control point motion vector prediction method); the method further includes: according to the motion vectors of the plurality of control points, obtaining the sub-block in the image block to be processed Motion vector
  • the weighted prediction according to the weight value to obtain the predicted value of the image block to be processed includes:
  • the block may also be referred to as a reference block or a prediction block); weighting the pixel values of the at least two motion compensation blocks according to the weight values respectively corresponding to the at least two reference frames to obtain the prediction value of each sub-block .
  • the current block uses the affine motion model and the inter prediction process uses the constructed control point motion vector prediction method, it can be determined according to the GBi index number of the adjacent decoded block of the control point
  • the reference frame of the current block corresponds to the weight value, so that weighted prediction can be performed based on the corresponding weight value of the reference frame, thereby obtaining the prediction value of each sub-block of the current block, ensuring the smooth progress of the encoding / decoding process, improving coding efficiency and predicting accuracy Sex.
  • determining the weight value corresponding to the reference frame of the image block to be processed according to the GBi index numbers of the multiple control points includes: The GBi index number determines the GBi index number of the image block to be processed; the weight value corresponding to the GBi index number of the image block to be processed is used as the weight value corresponding to the reference frame of the image block to be processed.
  • the GBi index number of the image block to be processed is used to determine the weight value of the reference frame of the image block to be processed (that is, there is a correspondence between the GBi index number and the weight value) in generalized bidirectional prediction;
  • the weight value corresponding to the reference frame of the to-be-processed image block represents the weight of the pixel value of the reference frame of the to-be-processed image block in the generalized bidirectional prediction;
  • an affine motion model-based In the Affine Merge mode prediction of the image block to be processed the motion information in the constructed control point motion vector fusion candidate list may include the GBi index number of the image block to be processed.
  • the GBi index number corresponding to the candidate motion information of each control point can be quickly determined, thereby ensuring bidirectional
  • the predictive coding process is carried out normally, and the GBi index number of the current block can continue to be used in the subsequent image block coding / decoding process, which improves coding efficiency and prediction accuracy.
  • the determining the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points includes: When the GBi index numbers are all the same, the same GBi index number is used as the GBi index number of the image block to be processed.
  • the weight value corresponding to the same GBi index number is used as the weight value corresponding to the reference frame of the image block to be processed in the GBi method.
  • the determining the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points includes: When there are different GBi index numbers in the GBi index numbers, the GBi index number corresponding to the preset value is used as the GBi index number of the image block to be processed.
  • the preset value may be used as the weight value corresponding to the reference frame of the image block to be processed in the generalized bidirectional prediction.
  • the determining the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points includes:
  • the GBi index number with the largest number among the GBi index numbers of the multiple control points is used as the GBi index of the image block to be processed number.
  • the largest number of identical GBi index numbers may be used as the weight value corresponding to the reference frame of the image block to be processed in the generalized bidirectional prediction.
  • the determining the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points includes:
  • the GBi index number corresponding to the preset value is used as the GBi index number of the image block to be processed.
  • the preset value may be used as the weight value corresponding to the reference frame of the image block to be processed in the generalized bidirectional prediction.
  • the determining the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points includes:
  • the GBi index number corresponding to the preset value is used as the GBi index number of the image block to be processed.
  • the preset value may be used as the weight value corresponding to the reference frame of the image block to be processed in the generalized bidirectional prediction.
  • the determining the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points includes:
  • the weight value having the smallest difference between the multiple weight values and the preset value is corresponding to The GBi index number is used as the GBi index number of the image block to be processed.
  • the weight value with the smallest difference between the plurality of weight values and the preset value may be used as the weight value corresponding to the reference frame of the image block to be processed in the generalized bidirectional prediction.
  • the determining the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points includes:
  • the GBi index number corresponding to the preset value is used as the GBi index number of the image block to be processed .
  • the preset value may be used as the weight value corresponding to the reference frame of the image block to be processed in the generalized bidirectional prediction.
  • the determining the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points includes:
  • the The GBi index number corresponding to the weight value with the smallest difference value among the multiple weight values as the GBi index number of the image block to be processed In the case where the multiple weight values corresponding to the GBi index numbers of the multiple control points are different from the preset value, and the average value of the multiple weight values is not equal to the preset value, the The GBi index number corresponding to the weight value with the smallest difference value among the multiple weight values as the GBi index number of the image block to be processed.
  • the weight value with the smallest difference between the plurality of weight values and the preset value may be used as the weight value corresponding to the reference frame of the image block to be processed in the generalized bidirectional prediction.
  • the determining the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points includes:
  • the GBi index number corresponding to the preset value is used as the GBi index number of the image block to be processed.
  • the preset value may be used as the weight value corresponding to the reference frame of the image block to be processed in the generalized bidirectional prediction.
  • the preset value may be 1/2, for example, and the GBi index number corresponding to the preset value may be 0, for example.
  • an embodiment of the present invention provides an inter-frame prediction method based on an affine prediction mode.
  • the method includes: using a preset GBi index number as the GBi index number of an image block to be processed, where the to-be-processed
  • the motion vectors of multiple control points of an image block are respectively obtained from the motion vectors of multiple processed image blocks (for example, the inter prediction process based on the affine prediction mode adopts a constructed control point motion vector prediction method);
  • the weight value corresponding to the GBi index number of the image block to be processed is used as the weight value corresponding to the reference frame of the image block to be processed; weighted prediction is performed according to the weight value to obtain the prediction value of the image block to be processed.
  • the weight value corresponding to the reference frame of the processed image block represents the pixel value of the reference frame of the processed image block in the generalized bidirectional prediction Weights;
  • the GBi index number of the currently processed image block and the weight value of the reference frame of the block to be processed can be quickly determined, so as to perform weighted prediction based on the weight value, thereby ensuring the normal progress of the bidirectional prediction encoding process Improve coding efficiency and accuracy.
  • the image to be processed includes multiple sub-blocks
  • the method further includes: obtaining each sub-block in the image block to be processed according to the motion vectors of the multiple control points Motion vector
  • the weighted prediction according to the weight value to obtain the prediction value of the image block to be processed includes: according to at least two motion vectors of each sub-block in the image block to be processed and the at least two At least two reference frames corresponding to each of the motion vectors, to obtain at least two motion compensation blocks of each sub-block; according to the weight values respectively corresponding to the at least two reference frames, pixels of the at least two motion compensation blocks The values are weighted to obtain the predicted value of each sub-block.
  • the current block uses the affine motion model and the inter-frame prediction process uses the constructed control point motion vector prediction method
  • the preset GBi index number is directly used as the GBi of the image block to be processed Index number
  • the weight value corresponding to the GBi index number of the image block to be processed is used as the weight value corresponding to the reference frame of the image block to be processed, so as to perform weighted prediction based on the weight value, thereby obtaining each sub-block of the current block
  • the predictive value of guarantees the smooth progress of the encoding / decoding process, and improves the coding efficiency and prediction accuracy.
  • the preset GBi index number is, for example, 0, the weight value corresponding to the GBi index number of the current image block to be processed is, for example, equal to 1/2, and the weighting method for performing weighted prediction (bidirectional prediction) based on the weight value Weighted on average.
  • an embodiment of the present invention provides an apparatus.
  • the apparatus includes: an acquisition module for acquiring GBi index numbers (the Generalization Bi-prediction weight) of multiple control points of an image block to be processed; weights The determining module is used to determine the weight value corresponding to the reference frame of the image block to be processed according to the GBi index numbers of the multiple control points; the prediction module is used to perform weighted prediction according to the weight value to obtain the The predicted value of the image block to be processed.
  • GBi index numbers the Generalization Bi-prediction weight
  • Each functional module of the device may be specifically used to implement the method described in the first aspect.
  • an embodiment of the present invention provides another apparatus.
  • the apparatus includes: a weight determination module configured to use a preset GBi index number as a GBi index number of an image block to be processed, wherein the image block to be processed The motion vectors of multiple control points are obtained from the motion vectors of multiple processed image blocks, respectively; the weight value corresponding to the GBi index number of the image block to be processed is used as the weight value corresponding to the reference frame of the image block to be processed.
  • the prediction module is used for weighted prediction according to the weight value to obtain the predicted value of the image block to be processed.
  • Each functional module of the device may be specifically used to implement the method described in the second aspect.
  • an embodiment of the present invention provides a video codec device.
  • the device includes: a non-volatile memory and a processor coupled to each other, and the processor calls program codes stored in the memory to execute The method described in the first aspect.
  • an embodiment of the present invention provides a video codec device.
  • the device includes: a nonvolatile memory and a processor coupled to each other, and the processor calls program codes stored in the memory to execute The method described in the second aspect.
  • an embodiment of the present invention provides a device for decoding video.
  • the device includes:
  • Memory used to store video data in the form of code stream
  • the decoder obtains GBi index numbers of multiple control points of the image block to be processed; according to the GBi index numbers of the multiple control points, determines the weight value corresponding to the reference frame of the image block to be processed; according to the weight value Perform weighted prediction to obtain the predicted value of the image block to be processed.
  • an embodiment of the present invention provides a device for decoding video.
  • the device includes:
  • Memory used to store video data in the form of code stream
  • the weight value corresponding to the GBi index number of the image block to be processed is used as the weight value corresponding to the reference frame of the image block to be processed; weighted prediction is performed according to the weight value to obtain the prediction of the image block to be processed value.
  • an embodiment of the present invention provides an apparatus for encoding video.
  • the apparatus includes:
  • Memory used to store video data in the form of code stream
  • the index number determines the GBi index number of the image block to be processed, and the GBi index number of the image block to be processed is used to determine the weight value corresponding to the reference frame of the image block to be processed.
  • an embodiment of the present invention provides a device for encoding video, which includes:
  • Memory used to store video data in the form of code stream
  • the encoder is configured to use the preset GBi index number as the GBi index number of the image block to be processed, wherein the motion vectors of multiple control points of the image block to be processed are respectively obtained from the motion vectors of multiple processed image blocks
  • the weight value corresponding to the GBi index number of the image block to be processed is the weight value corresponding to the reference frame of the image block to be processed.
  • an embodiment of the present invention provides a computer-readable storage medium on which instructions are stored, which when executed, causes one or more processors to encode video data.
  • the instructions cause the one or more processors to perform the method according to any possible embodiment of the first aspect.
  • an embodiment of the present invention provides a computer-readable storage medium on which instructions are stored, which, when executed, cause one or more processors to encode video data.
  • the instructions cause the one or more processors to perform the method according to any possible embodiment of the second aspect.
  • an embodiment of the present invention provides a computer program including program code, the program code executing the method according to any possible embodiment of the first aspect when running on a computer.
  • an embodiment of the present invention provides a computer program including program code, the program code executing the method according to any possible embodiment of the second aspect when running on a computer.
  • the GBi index number of each processed block may be different.
  • the above solution can quickly determine the GBi index number of the current block to be processed, thereby ensuring the normal progress of the bidirectional prediction encoding process and improving the encoding efficiency and accuracy.
  • FIG. 1A is a block diagram of an example of a video encoding and decoding system 10 for implementing an embodiment of the present invention
  • FIG. 1B is a block diagram of an example of a video decoding system 40 for implementing an embodiment of the present invention
  • FIG. 2 is a block diagram of an example structure of an encoder 20 for implementing an embodiment of the present invention
  • FIG. 3 is a block diagram of an example structure of a decoder 30 for implementing an embodiment of the present invention.
  • FIG. 4 is a block diagram of an example of a video decoding device 400 for implementing an embodiment of the present invention
  • FIG. 5 is a block diagram of another example of an encoding device or a decoding device used to implement an embodiment of the present invention.
  • FIG. 6 is an exemplary schematic diagram for representing candidate motion information in the spatial and temporal domains of the current block
  • FIG. 7 is an exemplary schematic diagram for representing the acquisition of affine model motion information
  • FIG. 8A is an exemplary schematic diagram of a constructed control point motion vector prediction method
  • FIG. 8B is an exemplary flowchart of the constructed control point motion vector prediction method
  • FIG. 10 is an exemplary schematic diagram of PLANER (Inter-Plane Mode) technology
  • 11A is an exemplary flowchart of an inter prediction method
  • 11B is an exemplary flowchart of another inter prediction method
  • FIG. 12 is an exemplary schematic diagram of motion information of a control point
  • FIG. 13 is a block diagram of an example of a device 1000 for implementing an embodiment of the present invention.
  • FIG. 14 is a block diagram of an example of a device 2000 for implementing an embodiment of the present invention.
  • the corresponding device may include one or more units such as functional units to perform the one or more method steps described (eg, one unit performs one or more steps , Or multiple units, each of which performs one or more of multiple steps), even if such one or more units are not explicitly described or illustrated in the drawings.
  • the corresponding method may include one step to perform the functionality of one or more units (eg, one step executes one or more units Functionality, or multiple steps, each of which performs the functionality of one or more of the multiple units), even if such one or more steps are not explicitly described or illustrated in the drawings.
  • the features of the exemplary embodiments and / or aspects described herein may be combined with each other.
  • “at least one” refers to one or more, and “multiple” refers to two or more.
  • “And / or” describes the relationship of the related objects, indicating that there can be three relationships, for example, A and / or B, which can mean: A exists alone, A and B exist at the same time, B exists alone, where A, B can be singular or plural.
  • the character "/” generally indicates that the related object is a "or” relationship.
  • “At least one of the following” or a similar expression refers to any combination of these items, including any combination of a single item or a plurality of items.
  • At least one item (a) in a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be a single or multiple .
  • Video coding generally refers to processing a sequence of pictures that form a video or video sequence.
  • picture In the field of video coding, the terms “picture”, “frame” or “image” may be used as synonyms.
  • Video coding as used herein means video coding or video decoding.
  • Video encoding is performed on the source side and usually includes processing (eg, by compressing) the original video picture to reduce the amount of data required to represent the video picture, thereby storing and / or transmitting more efficiently.
  • Video decoding is performed on the destination side and usually involves inverse processing relative to the encoder to reconstruct the video picture.
  • the "encoding" of video pictures involved in the embodiments should be understood as referring to the “encoding” or “decoding” of video sequences.
  • the combination of the encoding part and the decoding part is also called codec (encoding and decoding).
  • the video sequence includes a series of pictures, which are further divided into slices, and the slices are further divided into blocks.
  • Video encoding is performed in units of blocks.
  • the concept of blocks is further expanded.
  • macroblock macroblock, MB
  • partitions multiple prediction blocks (partitions) that can be used for predictive coding.
  • HEVC high-efficiency video coding
  • the basic concepts such as coding unit (CU), prediction unit (PU) and transform unit (TU) are adopted.
  • CU coding unit
  • PU prediction unit
  • TU transform unit
  • a variety of block units are divided, and a new tree-based structure is used for description.
  • the CU can be divided into smaller CUs according to the quadtree, and the smaller CU can be further divided to form a quadtree structure.
  • the CU is the basic unit for dividing and coding the coded image.
  • PU can correspond to the prediction block and is the basic unit of predictive coding.
  • the CU is further divided into multiple PUs according to the division mode.
  • the TU can correspond to the transform block and is the basic unit for transforming the prediction residual.
  • PU or TU they all belong to the concept of block (or image block) in essence.
  • the CTU is split into multiple CUs by using a quadtree structure represented as a coding tree.
  • a decision is made at the CU level whether to use inter-picture (temporal) or intra-picture (spatial) prediction to encode picture regions.
  • Each CU can be further split into one, two, or four PUs according to the PU split type.
  • the same prediction process is applied within a PU, and related information is transmitted to the decoder on the basis of the PU.
  • the CU may be divided into transform units (TU) according to other quadtree structures similar to the coding tree used for the CU.
  • quad-tree and binary-tree (Quad-tree and binary tree, QTBT) split frames are used to split the coding blocks.
  • the CU may have a square or rectangular shape.
  • the image block to be processed in the current encoded image may be referred to as the current block.
  • the image block to be processed refers to the block currently being encoded; during decoding In, the image block to be processed refers to the block currently being decoded.
  • the decoded image block used to predict the current block in the reference image is referred to as a reference block, that is, the reference block is a block that provides a reference signal for the current block, where the reference signal represents a pixel value within the image block.
  • the block in the reference image that provides the prediction signal for the current block may be a prediction block, where the prediction signal represents a pixel value or a sample value or a sample signal within the prediction block. For example, after traversing multiple reference blocks, the best reference block is found. This best reference block will provide a prediction for the current block. This block may be called a prediction block.
  • the original video picture can be reconstructed, that is, the reconstructed video picture has the same quality as the original video picture (assuming no transmission loss or other data loss during storage or transmission).
  • further compression is performed by, for example, quantization to reduce the amount of data required to represent the video picture, but the decoder side cannot fully reconstruct the video picture, that is, the quality of the reconstructed video picture is better than the original video picture The quality is lower or worse.
  • Several video coding standards of H.261 belong to "lossy hybrid video codec” (ie, combining spatial and temporal prediction in the sample domain with 2D transform coding for applying quantization in the transform domain).
  • Each picture of the video sequence is usually divided into non-overlapping block sets, which are usually encoded at the block level.
  • the encoder side usually processes the encoded video at the block (video block) level.
  • the prediction block is generated by spatial (intra-picture) prediction and temporal (inter-picture) prediction.
  • the encoder duplicates the decoder processing loop so that the encoder and decoder generate the same prediction (eg, intra prediction and inter prediction) and / or reconstruction for processing, ie, encoding subsequent blocks.
  • FIG. 1A exemplarily shows a schematic block diagram of a video encoding and decoding system 10 applied in an embodiment of the present invention.
  • the video encoding and decoding system 10 may include a source device 12 and a destination device 14, the source device 12 generates encoded video data, and therefore, the source device 12 may be referred to as a video encoding device.
  • the destination device 14 may decode the encoded video data generated by the source device 12, and therefore, the destination device 14 may be referred to as a video decoding device.
  • Various implementations of source device 12, destination device 14, or both may include one or more processors and memory coupled to the one or more processors.
  • Source device 12 and destination device 14 may include various devices, including desktop computers, mobile computing devices, notebook (eg, laptop) computers, tablet computers, set-top boxes, telephone handsets such as so-called "smart" phones, etc. Devices, televisions, cameras, display devices, digital media players, video game consoles, in-vehicle computers, wireless communication devices, or the like.
  • FIG. 1A depicts the source device 12 and the destination device 14 as separate devices
  • device embodiments may also include the functionality of the source device 12 and the destination device 14 or both, ie, the source device 12 or the corresponding Functionality of the destination device 14 or the corresponding functionality.
  • the source device 12 or corresponding functionality and the destination device 14 or corresponding functionality may be implemented using the same hardware and / or software, or using separate hardware and / or software, or any combination thereof .
  • a communication connection can be made between the source device 12 and the destination device 14 via the link 13, and the destination device 14 can receive the encoded video data from the source device 12 via the link 13.
  • Link 13 may include one or more media or devices capable of moving encoded video data from source device 12 to destination device 14.
  • link 13 may include one or more communication media that enable source device 12 to transmit encoded video data directly to destination device 14 in real time.
  • the source device 12 may modulate the encoded video data according to a communication standard (eg, a wireless communication protocol), and may transmit the modulated video data to the destination device 14.
  • the one or more communication media may include wireless and / or wired communication media, such as a radio frequency (RF) spectrum or one or more physical transmission lines.
  • RF radio frequency
  • the one or more communication media may form part of a packet-based network, such as a local area network, a wide area network, or a global network (eg, the Internet).
  • the one or more communication media may include routers, switches, base stations, or other devices that facilitate communication from source device 12 to destination device 14.
  • the source device 12 includes an encoder 20.
  • the source device 12 may further include a picture source 16, a picture pre-processor 18, and a communication interface 22.
  • the encoder 20, the picture source 16, the picture preprocessor 18, and the communication interface 22 may be hardware components in the source device 12, or may be software programs in the source device 12. They are described as follows:
  • Picture source 16 which can include or can be any kind of picture capture device, for example, to capture real-world pictures, and / or any kind of pictures or comments (for screen content encoding, some text on the screen is also considered to be encoded Part of the picture or image) generation device, for example, a computer graphics processor for generating computer animation pictures, or for acquiring and / or providing real-world pictures, computer animation pictures (for example, screen content, virtual reality, VR) pictures) in any category of equipment, and / or any combination thereof (for example, augmented reality (AR) pictures).
  • the picture source 16 may be a camera for capturing pictures or a memory for storing pictures.
  • the picture source 16 may also include any type of (internal or external) interface that stores previously captured or generated pictures and / or acquires or receives pictures.
  • the picture source 16 may be, for example, a local or integrated camera integrated in the source device; when the picture source 16 is a memory, the picture source 16 may be a local or integrated, for example, integrated in the source device Memory.
  • the interface may be, for example, an external interface that receives pictures from an external video source.
  • the external video source is, for example, an external picture capture device, such as a camera, an external memory, or an external picture generation device. It is an external computer graphics processor, computer or server.
  • the interface may be any type of interface according to any proprietary or standardized interface protocol, such as a wired or wireless interface, an optical interface.
  • the picture can be regarded as a two-dimensional array or matrix of pixels (picture elements).
  • the pixels in the array can also be called sampling points.
  • the number of sampling points of the array or picture in the horizontal and vertical directions (or axis) defines the size and / or resolution of the picture.
  • three color components are usually used, that is, a picture can be represented or contain three sampling arrays.
  • the picture includes corresponding red, green, and blue sampling arrays.
  • each pixel is usually expressed in a brightness / chroma format or color space.
  • a picture in YUV format includes the brightness component indicated by Y (sometimes also indicated by L) and the two indicated by U and V. Chroma components.
  • the luma component Y represents luminance or gray-scale horizontal intensity (for example, both are the same in gray-scale pictures), and the two chroma components U and V represent chroma or color information components.
  • the picture in the YUV format includes a luminance sampling array of luminance sampling values (Y), and two chrominance sampling arrays of chrominance values (U and V).
  • RGB format pictures can be converted or transformed into YUV format and vice versa, this process is also called color transformation or conversion. If the picture is black and white, the picture may include only the brightness sampling array.
  • the picture transmitted from the picture source 16 to the picture processor may also be referred to as original picture data 17.
  • the picture pre-processor 18 is configured to receive the original picture data 17 and perform pre-processing on the original picture data 17 to obtain the pre-processed picture 19 or the pre-processed picture data 19.
  • the pre-processing performed by the picture pre-processor 18 may include trimming, color format conversion (eg, conversion from RGB format to YUV format), color grading, or denoising.
  • the encoder 20 (or encoder 20) is used to receive the pre-processed picture data 19, and process the pre-processed picture data 19 in a related prediction mode (such as the prediction mode in various embodiments herein) to provide Encoded picture data 21 (the structural details of the encoder 20 will be further described below based on FIG. 2 or FIG. 4 or FIG. 5).
  • the encoder 20 may be used to execute various embodiments described below to implement the application of the chroma block prediction method described in the present invention on the encoding side.
  • the communication interface 22 can be used to receive the encoded picture data 21, and can transmit the encoded picture data 21 to the destination device 14 or any other device (such as a memory) through the link 13 for storage or direct reconstruction.
  • the other device may be any device used for decoding or storage.
  • the communication interface 22 may be used, for example, to encapsulate the encoded picture data 21 into a suitable format, such as a data packet, for transmission on the link 13.
  • the destination device 14 includes a decoder 30, and optionally, the destination device 14 may further include a communication interface 28, a picture post-processor 32, and a display device 34. They are described as follows:
  • the communication interface 28 may be used to receive the encoded picture data 21 from the source device 12 or any other source, such as a storage device, such as an encoded picture data storage device.
  • the communication interface 28 can be used to transmit or receive the encoded picture data 21 via the link 13 between the source device 12 and the destination device 14 or via any type of network.
  • the link 13 is, for example, a direct wired or wireless connection.
  • the category of network is, for example, a wired or wireless network or any combination thereof, or any category of private and public networks, or any combination thereof.
  • the communication interface 28 may be used, for example, to decapsulate the data packet transmitted by the communication interface 22 to obtain the encoded picture data 21.
  • Both the communication interface 28 and the communication interface 22 can be configured as a one-way communication interface or a two-way communication interface, and can be used, for example, to send and receive messages to establish a connection, confirm and exchange any other communication link and / or for example encoded picture data Information about data transmission.
  • the decoder 30 (or referred to as the decoder 30) is used to receive the encoded picture data 21 and provide the decoded picture data 31 or the decoded picture 31 (hereinafter, the decoder 30 will be further described based on FIG. 3 or FIG. 4 or FIG. 5 Structural details).
  • the decoder 30 may be used to execute various embodiments described below to implement the application of the chroma block prediction method described in the present invention on the decoding side.
  • the post-picture processor 32 is configured to perform post-processing on the decoded picture data 31 (also referred to as reconstructed picture data) to obtain post-processed picture data 33.
  • the post-processing performed by the image post-processor 32 may include: color format conversion (for example, conversion from YUV format to RGB format), color adjustment, retouching or resampling, or any other processing, and may also be used to convert the post-processed image data 33transmitted to the display device 34.
  • the display device 34 is used to receive post-processed picture data 33 to display pictures to, for example, a user or a viewer.
  • the display device 34 may be or may include any type of display for presenting reconstructed pictures, for example, an integrated or external display or monitor.
  • the display may include a liquid crystal display (LCD), an organic light emitting diode (OLED) display, a plasma display, a projector, a micro LED display, a liquid crystal on silicon (LCoS), Digital Light Processor (DLP) or other displays of any kind.
  • FIG. 1A depicts source device 12 and destination device 14 as separate devices
  • device embodiments may also include the functionality of source device 12 and destination device 14 or both, ie source device 12 or The corresponding functionality and the destination device 14 or corresponding functionality.
  • the source device 12 or corresponding functionality and the destination device 14 or corresponding functionality may be implemented using the same hardware and / or software, or using separate hardware and / or software, or any combination thereof .
  • Source device 12 and destination device 14 may include any of a variety of devices, including any type of handheld or stationary device, for example, notebook or laptop computers, mobile phones, smartphones, tablets or tablet computers, cameras, desktops Computers, set-top boxes, televisions, cameras, in-vehicle devices, display devices, digital media players, video game consoles, video streaming devices (such as content service servers or content distribution servers), broadcast receiver devices, broadcast transmitter devices And so on, and can not use or use any kind of operating system.
  • handheld or stationary device for example, notebook or laptop computers, mobile phones, smartphones, tablets or tablet computers, cameras, desktops Computers, set-top boxes, televisions, cameras, in-vehicle devices, display devices, digital media players, video game consoles, video streaming devices (such as content service servers or content distribution servers), broadcast receiver devices, broadcast transmitter devices And so on, and can not use or use any kind of operating system.
  • Both the encoder 20 and the decoder 30 can be implemented as any of various suitable circuits, for example, one or more microprocessors, digital signal processors (DSPs), application-specific integrated circuits (application-specific integrated circuits) circuit, ASIC), field-programmable gate array (FPGA), discrete logic, hardware, or any combination thereof.
  • DSPs digital signal processors
  • ASIC application-specific integrated circuits
  • FPGA field-programmable gate array
  • the device may store the instructions of the software in a suitable non-transitory computer-readable storage medium, and may use one or more processors to execute the instructions in hardware to perform the techniques of the present disclosure . Any one of the foregoing (including hardware, software, a combination of hardware and software, etc.) may be regarded as one or more processors.
  • the video encoding and decoding system 10 shown in FIG. 1A is only an example, and the technology of the present invention can be applied to video encoding settings that do not necessarily include any data communication between encoding and decoding devices (for example, video encoding or video decoding).
  • data can be retrieved from local storage, streamed on the network, and so on.
  • the video encoding device may encode the data and store the data to the memory, and / or the video decoding device may retrieve the data from the memory and decode the data.
  • encoding and decoding are performed by devices that do not communicate with each other but only encode data to and / or retrieve data from memory and decode the data.
  • FIG. 1B is an explanatory diagram of an example of a video coding system 40 including the encoder 20 of FIG. 2 and / or the decoder 30 of FIG. 3 according to an exemplary embodiment.
  • the video decoding system 40 can implement a combination of various technologies of the embodiments of the present invention.
  • the video decoding system 40 may include an imaging device 41, an encoder 20, a decoder 30 (and / or a video encoder / decoder implemented by the logic circuit 47 of the processing unit 46), an antenna 42 , One or more processors 43, one or more memories 44, and / or display devices 45.
  • the imaging device 41, the antenna 42, the processing unit 46, the logic circuit 47, the encoder 20, the decoder 30, the processor 43, the memory 44, and / or the display device 45 can communicate with each other.
  • the video coding system 40 is shown with the encoder 20 and the decoder 30, in different examples, the video coding system 40 may include only the encoder 20 or only the decoder 30.
  • antenna 42 may be used to transmit or receive an encoded bitstream of video data.
  • the display device 45 may be used to present video data.
  • the logic circuit 47 may be implemented by the processing unit 46.
  • the processing unit 46 may include application-specific integrated circuit (ASIC) logic, a graphics processor, a general-purpose processor, and the like.
  • the video decoding system 40 may also include an optional processor 43, which may similarly include application-specific integrated circuit (ASIC) logic, a graphics processor, a general-purpose processor, and the like.
  • the logic circuit 47 may be implemented by hardware, such as dedicated hardware for video encoding, etc., and the processor 43 may be implemented by general-purpose software, an operating system, or the like.
  • the memory 44 may be any type of memory, such as volatile memory (for example, static random access memory (Static Random Access Memory, SRAM), dynamic random access memory (Dynamic Random Access Memory, DRAM), etc.) or non-volatile Memory (for example, flash memory, etc.), etc.
  • volatile memory for example, static random access memory (Static Random Access Memory, SRAM), dynamic random access memory (Dynamic Random Access Memory, DRAM), etc.
  • non-volatile Memory for example, flash memory, etc.
  • the memory 44 may be implemented by cache memory.
  • the logic circuit 47 can access the memory 44 (eg, to implement an image buffer).
  • the logic circuit 47 and / or the processing unit 46 may include memory (eg, cache, etc.) for implementing image buffers and the like.
  • the encoder 20 implemented by a logic circuit may include an image buffer (eg, implemented by the processing unit 46 or the memory 44) and a graphics processing unit (eg, implemented by the processing unit 46).
  • the graphics processing unit may be communicatively coupled to the image buffer.
  • the graphics processing unit may include the encoder 20 implemented by a logic circuit 47 to implement the various modules discussed with reference to FIG. 2 and / or any other encoder system or subsystem described herein.
  • Logic circuits can be used to perform the various operations discussed herein.
  • decoder 30 may be implemented by logic circuit 47 in a similar manner to implement the various modules discussed with reference to decoder 30 of FIG. 3 and / or any other decoder systems or subsystems described herein.
  • the decoder 30 implemented by the logic circuit may include an image buffer (implemented by the processing unit 2820 or the memory 44) and a graphics processing unit (for example, implemented by the processing unit 46).
  • the graphics processing unit may be communicatively coupled to the image buffer.
  • the graphics processing unit may include a decoder 30 implemented by a logic circuit 47 to implement various modules discussed with reference to FIG. 3 and / or any other decoder system or subsystem described herein.
  • antenna 42 may be used to receive an encoded bitstream of video data.
  • the encoded bitstream may include data related to encoded video frames, indicators, index values, mode selection data, etc. discussed herein, such as data related to encoded partitions (eg, transform coefficients or quantized transform coefficients , (As discussed) optional indicators, and / or data that defines the code segmentation).
  • Video coding system 40 may also include decoder 30 coupled to antenna 42 and used to decode the encoded bitstream.
  • the display device 45 is used to present video frames.
  • the decoder 30 may be used to perform the reverse process.
  • the decoder 30 may be used to receive and parse such syntax elements and decode the relevant video data accordingly.
  • encoder 20 may entropy encode syntax elements into an encoded video bitstream. In such instances, decoder 30 may parse such syntax elements and decode the relevant video data accordingly.
  • the method described in the embodiment of the present invention is mainly used in the inter prediction process. This process exists in both the encoder 20 and the decoder 30.
  • the encoder 20 and the decoder 30 in the embodiment of the present invention may be, for example, H .263, H.264, HEVV, MPEG-2, MPEG-4, VP8, VP9 and other video standard protocols or next-generation video standard protocols (such as H.266, etc.) corresponding codec / decoder.
  • FIG. 2 shows a schematic / conceptual block diagram of an example of an encoder 20 for implementing an embodiment of the present invention.
  • the encoder 20 includes a residual calculation unit 204, a transform processing unit 206, a quantization unit 208, an inverse quantization unit 210, an inverse transform processing unit 212, a reconstruction unit 214, a buffer 216, a loop filter Unit 220, decoded picture buffer (DPB) 230, prediction processing unit 260, and entropy encoding unit 270.
  • the prediction processing unit 260 may include an inter prediction unit 244, an intra prediction unit 254, and a mode selection unit 262.
  • the inter prediction unit 244 may include a motion estimation unit and a motion compensation unit (not shown).
  • the encoder 20 shown in FIG. 2 may also be referred to as a hybrid video encoder or a video encoder based on a hybrid video codec.
  • the residual calculation unit 204, the transform processing unit 206, the quantization unit 208, the prediction processing unit 260, and the entropy encoding unit 270 form the forward signal path of the encoder 20, while for example, the inverse quantization unit 210, the inverse transform processing unit 212, and The structural unit 214, the buffer 216, the loop filter 220, the decoded picture buffer (DPB) 230, and the prediction processing unit 260 form the backward signal path of the encoder, where the backward signal path of the encoder corresponds The signal path for the decoder (see decoder 30 in FIG. 3).
  • the encoder 20 receives a picture 201 or an image block 203 of the picture 201 through, for example, an input 202, for example, forming a picture in a picture sequence of a video or a video sequence.
  • the image block 203 may also be called a current coding block or a to-be-processed image block
  • the picture 201 may be called a current picture or a picture to be coded (especially when the current picture is distinguished from other pictures in video coding, the other pictures are the same video sequence, for example That is, the previously encoded and / or decoded pictures in the video sequence of the current picture are also included).
  • An embodiment of the encoder 20 may include a division unit (not shown in FIG. 2) for dividing the picture 201 into a plurality of blocks such as an image block 203, usually into a plurality of non-overlapping blocks.
  • the segmentation unit can be used to use the same block size and corresponding grid that defines the block size for all pictures in the video sequence, or to change the block size between pictures or subsets or picture groups, and divide each picture into The corresponding block.
  • the prediction processing unit 260 of the encoder 20 may be used to perform any combination of the above-mentioned segmentation techniques.
  • image block 203 is also or can be regarded as a two-dimensional array or matrix of sampling points with sample values, although its size is smaller than picture 201.
  • the image block 203 may include, for example, one sampling array (for example, the brightness array in the case of a black and white picture 201) or three sampling arrays (for example, one brightness array and two chroma arrays in the case of a color picture) or An array of any other number and / or category depending on the color format applied.
  • the number of sampling points in the horizontal and vertical directions (or axes) of the image block 203 defines the size of the image block 203.
  • the encoder 20 shown in FIG. 2 is used to encode the picture 201 block by block, for example, to perform encoding and prediction on each image block 203.
  • the residual calculation unit 204 is used to calculate the residual block 205 based on the picture image block 203 and the prediction block 265 (further details of the prediction block 265 are provided below), for example, by subtracting the sample value of the picture image block 203 sample by sample (pixel by pixel) The sample values of the block 265 are depredicted to obtain the residual block 205 in the sample domain.
  • the transform processing unit 206 is used to apply a transform such as discrete cosine transform (DCT) or discrete sine transform (DST) to the sample values of the residual block 205 to obtain transform coefficients 207 in the transform domain .
  • the transform coefficient 207 may also be referred to as a transform residual coefficient, and represents a residual block 205 in the transform domain.
  • the transform processing unit 206 may be used to apply integer approximations of DCT / DST, such as the transform specified by HEVC / H.265. Compared with the orthogonal DCT transform, this integer approximation is usually scaled by a factor. In order to maintain the norm of the residual block processed by the forward and inverse transform, an additional scaling factor is applied as part of the transform process.
  • the scaling factor is usually selected based on certain constraints, for example, the scaling factor is a power of two used for the shift operation, the bit depth of the transform coefficient, the accuracy, and the trade-off between implementation cost and so on.
  • a specific scaling factor can be specified for the inverse transform by the inverse transform processing unit 212 on the decoder 30 side (and corresponding inverse transform by the inverse transform processing unit 212 on the encoder 20 side), and accordingly, the encoder can be The 20 side specifies the corresponding scaling factor for the positive transform by the transform processing unit 206.
  • the quantization unit 208 is used to quantize the transform coefficient 207 by, for example, applying scalar quantization or vector quantization to obtain the quantized transform coefficient 209.
  • the quantized transform coefficient 209 may also be referred to as the quantized residual coefficient 209.
  • the quantization process can reduce the bit depth associated with some or all of the transform coefficients 207. For example, n-bit transform coefficients can be rounded down to m-bit transform coefficients during quantization, where n is greater than m.
  • the degree of quantization can be modified by adjusting the quantization parameter (QP). For example, for scalar quantization, different scales can be applied to achieve thinner or coarser quantization.
  • QP quantization parameter
  • a smaller quantization step size corresponds to a finer quantization
  • a larger quantization step size corresponds to a coarser quantization.
  • a suitable quantization step size can be indicated by a quantization parameter (QP).
  • the quantization parameter may be an index of a predefined set of suitable quantization steps.
  • smaller quantization parameters may correspond to fine quantization (smaller quantization step size)
  • larger quantization parameters may correspond to coarse quantization (larger quantization step size)
  • the quantization may include dividing by the quantization step size and the corresponding quantization or inverse quantization performed by, for example, inverse quantization 210, or may include multiplying the quantization step size.
  • Embodiments according to some standards such as HEVC may use quantization parameters to determine the quantization step size.
  • the quantization step size can be calculated based on the quantization parameter using fixed-point approximation that includes equations for division. Additional scaling factors can be introduced for quantization and inverse quantization to restore the norm of the residual block that may be modified due to the scale used in the fixed-point approximation of the equations for quantization step size and quantization parameter.
  • the scale of inverse transform and inverse quantization may be combined.
  • a custom quantization table can be used and signaled from the encoder to the decoder in a bitstream, for example. Quantization is a lossy operation, where the larger the quantization step, the greater the loss.
  • the inverse quantization unit 210 is used to apply the inverse quantization of the quantization unit 208 on the quantized coefficients to obtain the inverse quantization coefficient 211, for example, based on or using the same quantization step size as the quantization unit 208, apply the quantization scheme applied by the quantization unit 208 Inverse quantization scheme.
  • the inverse quantized coefficient 211 may also be referred to as the inverse quantized residual coefficient 211, which corresponds to the transform coefficient 207, although the loss due to quantization is usually not the same as the transform coefficient.
  • the inverse transform processing unit 212 is used to apply the inverse transform of the transform applied by the transform processing unit 206, for example, inverse discrete cosine transform (DCT) or inverse discrete sine transform (DST), in the sample domain
  • the inverse transform block 213 is obtained.
  • the inverse transform block 213 may also be referred to as an inverse transform dequantized block 213 or an inverse transform residual block 213.
  • the reconstruction unit 214 (eg, summer 214) is used to add the inverse transform block 213 (ie, the reconstructed residual block 213) to the prediction block 265 to obtain the reconstructed block 215 in the sample domain, for example, The sample values of the reconstructed residual block 213 and the sample values of the prediction block 265 are added.
  • a buffer unit 216 (or simply "buffer" 216), such as a line buffer 216, is used to buffer or store the reconstructed block 215 and corresponding sample values for, for example, intra prediction.
  • the encoder may be used to use the unfiltered reconstructed blocks and / or corresponding sample values stored in the buffer unit 216 for any type of estimation and / or prediction, such as intra prediction.
  • an embodiment of the encoder 20 may be configured such that the buffer unit 216 is used not only for storing the reconstructed block 215 for intra prediction 254, but also for the loop filter unit 220 (not shown in FIG. 2) Out), and / or, for example, causing the buffer unit 216 and the decoded picture buffer unit 230 to form a buffer.
  • Other embodiments may be used to use the filtered block 221 and / or blocks or samples from the decoded picture buffer 230 (neither shown in FIG. 2) as an input or basis for intra prediction 254.
  • the loop filter unit 220 (or simply “loop filter” 220) is used to filter the reconstructed block 215 to obtain the filtered block 221, so as to smoothly perform pixel conversion or improve video quality.
  • the loop filter unit 220 is intended to represent one or more loop filters, such as deblocking filters, sample-adaptive offset (SAO) filters, or other filters, such as bilateral filters, Adaptive loop filter (adaptive loop filter, ALF), or sharpening or smoothing filter, or collaborative filter.
  • the loop filter unit 220 is shown as an in-loop filter in FIG. 2, in other configurations, the loop filter unit 220 may be implemented as a post-loop filter.
  • the filtered block 221 may also be referred to as the filtered reconstructed block 221.
  • the decoded picture buffer 230 may store the reconstructed coding block after the loop filter unit 220 performs a filtering operation on the reconstructed coding block.
  • Embodiments of the encoder 20 may be used to output loop filter parameters (eg, sample adaptive offset information), for example, directly output or by the entropy encoding unit 270 or any other
  • the entropy coding unit outputs after entropy coding, for example, so that the decoder 30 can receive and apply the same loop filter parameters for decoding.
  • the decoded picture buffer (DPB) 230 may be a reference picture memory for storing reference picture data for the encoder 20 to encode video data.
  • DPB 230 can be formed by any of a variety of memory devices, such as dynamic random access memory (dynamic random access (DRAM) (including synchronous DRAM (synchronous DRAM, SDRAM), magnetoresistive RAM (magnetoresistive RAM, MRAM), resistive RAM (resistive RAM, RRAM)) or other types of memory devices.
  • DRAM dynamic random access
  • the DPB 230 and the buffer 216 may be provided by the same memory device or separate memory devices.
  • a decoded picture buffer (DPB) 230 is used to store the filtered block 221.
  • the decoded picture buffer 230 may be further used to store other previous filtered blocks of the same current picture or different pictures such as previous reconstructed pictures, such as the previously reconstructed and filtered block 221, and may provide the complete previous The reconstructed ie decoded pictures (and corresponding reference blocks and samples) and / or partially reconstructed current pictures (and corresponding reference blocks and samples), for example for inter prediction.
  • a decoded picture buffer (DPB) 230 is used to store the reconstructed block 215.
  • the prediction processing unit 260 also known as the block prediction processing unit 260, is used to receive or acquire the image block 203 (current image block 203 of the current picture 201) and reconstructed picture data, such as the same (current) picture from the buffer 216 Reference samples and / or reference picture data 231 of one or more previously decoded pictures from the decoded picture buffer 230, and used to process such data for prediction, that is, to provide an inter prediction block 245 or The prediction block 265 of the intra prediction block 255.
  • the mode selection unit 262 may be used to select a prediction mode (eg, intra or inter prediction mode) and / or the corresponding prediction block 245 or 255 used as the prediction block 265 to calculate the residual block 205 and reconstruct the reconstructed block 215.
  • a prediction mode eg, intra or inter prediction mode
  • / or the corresponding prediction block 245 or 255 used as the prediction block 265 to calculate the residual block 205 and reconstruct the reconstructed block 215.
  • An embodiment of the mode selection unit 262 may be used to select a prediction mode (eg, from those prediction modes supported by the prediction processing unit 260), which provides the best match or the minimum residual (the minimum residual means Better compression in transmission or storage), or provide minimum signaling overhead (minimum signaling overhead means better compression in transmission or storage), or consider or balance both at the same time.
  • the mode selection unit 262 may be used to determine a prediction mode based on rate distortion optimization (RDO), that is, to select a prediction mode that provides minimum bit rate distortion optimization, or to select a prediction mode in which the related rate distortion at least meets the prediction mode selection criteria .
  • RDO rate distortion optimization
  • the encoder 20 is used to determine or select the best or optimal prediction mode from the (predetermined) prediction mode set.
  • the set of prediction modes may include, for example, intra prediction modes and / or inter prediction modes.
  • the set of intra prediction modes may include 35 different intra prediction modes, for example, non-directional modes such as DC (or mean) mode and planar mode, or directivity as defined in H.265
  • the mode or may include 67 different intra prediction modes, for example, non-directional modes such as DC (or mean) mode and planar mode, or directional modes as defined in the developing H.266.
  • the set of inter prediction modes depends on the available reference pictures (ie, for example, the aforementioned at least partially decoded pictures stored in DBP 230) and other inter prediction parameters, for example, depending on whether the entire reference picture is used or only Use a part of the reference picture, for example a search window area surrounding the area of the current block, to search for the best matching reference block, and / or for example depending on whether pixel interpolation such as half-pixel and / or quarter-pixel interpolation is applied
  • the set of inter prediction modes may include advanced motion vector (Advanced Motion Vector Prediction, AMVP) mode and merge mode.
  • AMVP Advanced Motion Vector Prediction
  • the set of inter prediction modes may include the prediction modes based on the affine motion model described in the embodiments of the present invention, for example, the advanced motion vector prediction mode (Affine AMVP) based on the affine motion model or based on the affine motion model Affine Merge mode, specifically, AMVP mode based on control points (inherited control point motion vector prediction method or constructed control point motion vector prediction method), control point based merge mode (inherited control point motion Vector prediction method or constructed control point motion vector prediction method); and, advanced time-domain motion vector prediction (advanced temporal motion vector prediction (ATMVP) method, PLANAER method, etc .; or, through the above-mentioned simulation-based affine motion model fusion Mode, ATMVP and / or PLANER method to form a sub-block fusion mode (Sub-block based mode), etc.
  • the advanced motion vector prediction mode Affine AMVP
  • ATMVP advanced temporal motion vector prediction
  • the inter prediction of the image block to be processed can be applied to unidirectional prediction (forward or backward), bidirectional prediction (forward and backward) or multi-frame prediction, when applied to bidirectional prediction ,
  • the bidirectional prediction block-level generalized bi-prediction (GBi), or weighted prediction method can be used.
  • the intra prediction unit 254 can be used to perform any combination of inter prediction techniques described below .
  • the embodiments of the present invention may also apply skip mode and / or direct mode.
  • the prediction processing unit 260 may be further used to split the image block 203 into smaller block partitions or sub-blocks, for example, by iteratively using quad-tree (QT) segmentation, binary-tree (BT) segmentation Or triple-tree (TT) partitioning, or any combination thereof, and for performing predictions for each of block partitions or sub-blocks, for example, where mode selection includes selecting the tree structure of the divided image block 203 and selecting applications The prediction mode for each of the block partitions or sub-blocks.
  • QT quad-tree
  • BT binary-tree
  • TT triple-tree
  • the inter prediction unit 244 may include a motion estimation (ME) unit (not shown in FIG. 2) and a motion compensation (MC) unit (not shown in FIG. 2).
  • the motion estimation unit is used to receive or acquire a picture image block 203 (current picture image block 203 of the current picture 201) and a decoded picture 231, or at least one or more previously reconstructed blocks, for example, one or more other / different
  • the reconstructed block of the previously decoded picture 231 performs motion estimation based on the determined inter prediction mode.
  • the video sequence may include the current picture and the previously decoded picture 31, or in other words, the current picture and the previously decoded picture 31 may be part of or form a sequence of pictures that form the video sequence.
  • the encoder 20 may be used to select a reference block from multiple reference blocks of the same or different pictures in multiple other pictures (reference images) and provide the reference picture and the motion estimation unit (not shown in FIG. 2). And / or provide an offset (spatial offset) between the position of the reference block (X, Y coordinates) and the position of the current block (spatial offset) as an inter prediction parameter. This offset is also called motion vector (MV).
  • MV motion vector
  • the motion compensation unit is used to acquire inter prediction parameters and perform inter prediction based on or using inter prediction parameters to obtain inter prediction blocks 245.
  • the motion compensation performed by the motion compensation unit may include extracting or generating a prediction block (prediction value) based on a motion / block vector determined by motion estimation (possibly performing interpolation of sub-pixel accuracy). Interpolation filtering can generate additional pixel samples from known pixel samples, potentially increasing the number of candidate prediction blocks that can be used to encode picture blocks.
  • the motion compensation unit 246 may locate the prediction block pointed to by the motion vector in a reference picture list. Motion compensation unit 246 may also generate syntax elements associated with blocks and video slices for use by decoder 30 when decoding picture blocks of video slices.
  • the above-mentioned inter prediction unit 244 may transmit a syntax element to the entropy encoding unit 270, for example, the syntax element includes inter prediction parameters (such as traversing multiple inter prediction modes to select an inter prediction mode used for current block prediction Indication information), the index number of the candidate motion vector list, optionally including the GBi index number, the reference frame index, and so on.
  • inter prediction parameters such as traversing multiple inter prediction modes to select an inter prediction mode used for current block prediction Indication information
  • the index number of the candidate motion vector list optionally including the GBi index number, the reference frame index, and so on.
  • the decoding terminal 30 may directly use the default prediction mode for decoding. It can be understood that the inter prediction unit 244 may be used to perform any combination of inter prediction techniques.
  • the intra prediction unit 254 is used to acquire, for example, a picture block 203 (current picture block) that receives the same picture and one or more previously reconstructed blocks, such as reconstructed neighboring blocks, for intra estimation.
  • the encoder 20 may be used to select an intra prediction mode from a plurality of (predetermined) intra prediction modes.
  • Embodiments of the encoder 20 may be used to select an intra-prediction mode based on optimization criteria, for example, based on a minimum residual (eg, an intra-prediction mode that provides the prediction block 255 that is most similar to the current picture block 203) or minimum rate distortion.
  • a minimum residual eg, an intra-prediction mode that provides the prediction block 255 that is most similar to the current picture block 203
  • minimum rate distortion e.g, a minimum rate distortion.
  • the intra prediction unit 254 is further used to determine the intra prediction block 255 based on the intra prediction parameters of the intra prediction mode as selected. In any case, after selecting the intra-prediction mode for the block, the intra-prediction unit 254 is also used to provide the intra-prediction parameters to the entropy encoding unit 270, that is, to provide an indication of the selected intra-prediction mode for the block Information. In one example, the intra prediction unit 254 may be used to perform any combination of intra prediction techniques.
  • the above-mentioned intra-prediction unit 254 may transmit a syntax element to the entropy encoding unit 270, where the syntax element includes intra-prediction parameters (such as an intra-prediction mode selected for the current block prediction after traversing multiple intra-prediction modes) Instructions).
  • the intra prediction parameters may not be carried in the syntax element.
  • the decoding terminal 30 may directly use the default prediction mode for decoding.
  • the entropy coding unit 270 is used to encode an entropy coding algorithm or scheme (for example, variable length coding (VLC) scheme, context adaptive VLC (context adaptive VLC, CAVLC) scheme, arithmetic coding scheme, context adaptive binary arithmetic) Encoding (context adaptive) binary arithmetic coding (CABAC), syntax-based context-adaptive binary arithmetic coding (SBAC), probability interval entropy (probability interval interpartitioning entropy, PIPE) encoding or other entropy Encoding method or technique) applied to a single or all of the quantized residual coefficients 209, inter prediction parameters, intra prediction parameters and / or loop filter parameters (or not applied) to obtain the output 272 to For example, the encoded picture data 21 output in the form of an encoded bit stream 21.
  • the encoded bitstream can be transmitted to the decoder 30 or archived for later transmission or retrieval by the decoder 30.
  • the non-transform based encoder 20 may directly quantize the residual signal without the transform processing unit 206 for certain blocks or frames.
  • the encoder 20 may have a quantization unit 208 and an inverse quantization unit 210 combined into a single unit.
  • the encoder 20 may be used to implement the inter prediction method described in the embodiment of FIG. 11B described later.
  • the encoder 20 can directly quantize the residual signal without processing by the transform processing unit 206, and accordingly, without processing by the inverse transform processing unit 212; or, for some images
  • the encoder 20 does not generate residual data, and accordingly does not need to be processed by the transform processing unit 206, quantization unit 208, inverse quantization unit 210, and inverse transform processing unit 212; or, the encoder 20 may reconstruct
  • the image block is directly stored as a reference block without being processed by the filter 220; alternatively, the quantization unit 208 and the inverse quantization unit 210 in the encoder 20 may be merged together.
  • the loop filter 220 is optional, and in the case of lossless compression coding, the transform processing unit 206, quantization unit 208, inverse quantization unit 210, and inverse transform processing unit 212 are optional. It should be understood that the inter prediction unit 244 and the intra prediction unit 254 may be selectively enabled according to different application scenarios.
  • FIG. 3 shows a schematic / conceptual block diagram of an example of a decoder 30 for implementing an embodiment of the present invention.
  • the decoder 30 is used to receive encoded picture data (eg, encoded bitstream) 21, for example, encoded by the encoder 20, to obtain the decoded picture 231.
  • encoded picture data eg, encoded bitstream
  • the decoder 30 receives video data from the encoder 20, such as an encoded video bitstream and associated syntax elements representing picture blocks of the encoded video slice.
  • the decoder 30 includes an entropy decoding unit 304, an inverse quantization unit 310, an inverse transform processing unit 312, a reconstruction unit 314 (such as a summer 314), a buffer 316, a loop filter 320, a The decoded picture buffer 330 and the prediction processing unit 360.
  • the prediction processing unit 360 may include an inter prediction unit 344, an intra prediction unit 354, and a mode selection unit 362.
  • decoder 30 may perform a decoding pass that is generally inverse to the encoding pass described with reference to encoder 20 of FIG. 2.
  • the entropy decoding unit 304 is used to perform entropy decoding on the encoded picture data 21 to obtain, for example, quantized coefficients 309 and / or decoded encoding parameters (not shown in FIG. 3), for example, inter prediction, intra prediction parameters , Any or all of the loop filter parameters and / or other syntax elements (decoded).
  • the entropy decoding unit 304 is further used to forward the inter prediction parameters, intra prediction parameters, and / or other syntax elements to the prediction processing unit 360.
  • the decoder 30 may receive syntax elements at the video slice level and / or the video block level.
  • the inverse quantization unit 310 may be functionally the same as the inverse quantization unit 110
  • the inverse transform processing unit 312 may be functionally the same as the inverse transform processing unit 212
  • the reconstruction unit 314 may be functionally identical to the reconstruction unit 214
  • the buffer 316 may be functional
  • the loop filter 320 may be functionally the same as the loop filter 220
  • the decoded picture buffer 330 may be functionally the same as the decoded picture buffer 230.
  • the prediction processing unit 360 may include an inter prediction unit 344 and an intra prediction unit 354, where the inter prediction unit 344 may be similar in function to the inter prediction unit 244, and the intra prediction unit 354 may be similar in function to the intra prediction unit 254 .
  • the prediction processing unit 360 is generally used to perform block prediction and / or obtain the prediction block 365 from the encoded data 21, and receive or obtain prediction-related parameters and / or information about the entropy decoding unit 304 (explicitly or implicitly). Information about the selected prediction mode.
  • the intra prediction unit 354 of the prediction processing unit 360 is used to signal-based the intra prediction mode and the previous decoded block from the current frame or picture. Data to generate a prediction block 365 for the picture block of the current video slice.
  • the inter prediction unit 344 eg, motion compensation unit
  • Other syntax elements generate a prediction block 365 for the video block of the current video slice.
  • a prediction block may be generated from a reference picture in a reference picture list.
  • the decoder 30 may construct the reference frame lists: list 0 and list 1 based on the reference pictures stored in the DPB 330 using default construction techniques.
  • the prediction processing unit 360 is used to determine the prediction information for the video block of the current video slice by parsing the motion vector and other syntax elements, and use the prediction information to generate the prediction block for the current video block being decoded.
  • the prediction processing unit 360 uses some received syntax elements to determine the prediction mode (e.g., intra or inter prediction) of the video block used to encode the video slice, and the inter prediction slice type ( For example, B slice, P slice, or GPB slice), construction information for one or more of the reference picture lists for slices, motion vectors for each inter-coded video block for slices, The inter prediction status and other information of each inter-coded video block of the slice to decode the video block of the current video slice.
  • the prediction mode e.g., intra or inter prediction
  • the inter prediction slice type For example, B slice, P slice, or GPB slice
  • the syntax elements received by the decoder 30 from the bitstream include an adaptive parameter set (adaptive parameter set, APS), a sequence parameter set (SPS), and a picture parameter set (picture parameter) set, PPS) or the syntax element in one or more of the stripe headers.
  • an adaptive parameter set adaptive parameter set
  • SPS sequence parameter set
  • PPS picture parameter set
  • the inverse quantization unit 310 may be used to inverse quantize (ie, inverse quantize) the quantized transform coefficients provided in the bitstream and decoded by the entropy decoding unit 304.
  • the inverse quantization process may include using the quantization parameters calculated by the encoder 20 for each video block in the video slice to determine the degree of quantization that should be applied and also determine the degree of inverse quantization that should be applied.
  • the inverse transform processing unit 312 is used to apply an inverse transform (eg, inverse DCT, inverse integer transform, or conceptually similar inverse transform process) to the transform coefficients, so as to generate a residual block in the pixel domain.
  • an inverse transform eg, inverse DCT, inverse integer transform, or conceptually similar inverse transform process
  • the reconstruction unit 314 (for example, the summer 314) is used to add the inverse transform block 313 (ie, the reconstructed residual block 313) to the prediction block 365 to obtain the reconstructed block 315 in the sample domain, for example, by adding The sample values of the reconstructed residual block 313 and the sample values of the prediction block 365 are added.
  • the loop filter unit 320 (during the encoding loop or after the encoding loop) is used to filter the reconstructed block 315 to obtain the filtered block 321 to smoothly perform pixel conversion or improve video quality.
  • the loop filter unit 320 may be used to perform any combination of filtering techniques described below.
  • the loop filter unit 320 is intended to represent one or more loop filters, such as deblocking filters, sample-adaptive offset (SAO) filters, or other filters, such as bilateral filters, Adaptive loop filter (adaptive loop filter, ALF), or sharpening or smoothing filter, or collaborative filter.
  • the loop filter unit 320 is shown as an in-loop filter in FIG. 3, in other configurations, the loop filter unit 320 may be implemented as a post-loop filter.
  • the decoded video block 321 in a given frame or picture is then stored in a decoded picture buffer 330 that stores reference pictures for subsequent motion compensation.
  • the decoder 30 is used, for example, to output the decoded picture 31 through the output 332 for presentation to the user or for the user to view.
  • the decoder 30 may generate the output video stream without the loop filter unit 320.
  • the non-transform based decoder 30 may directly inversely quantize the residual signal without the inverse transform processing unit 312 for certain blocks or frames.
  • the decoder 30 may have an inverse quantization unit 310 and an inverse transform processing unit 312 combined into a single unit.
  • the decoder 30 may be used to implement the inter prediction method described later in the embodiment of FIG. 11A.
  • the decoder 30 may generate an output video stream without processing by the filter 320; or, for some image blocks or image frames, the entropy decoding unit 304 of the decoder 30 does not decode the quantized coefficients, and accordingly does not need to be
  • the inverse quantization unit 310 and the inverse transform processing unit 312 process.
  • the loop filter 320 is optional; and in the case of lossless compression, the inverse quantization unit 310 and the inverse transform processing unit 312 are optional.
  • the inter prediction unit and the intra prediction unit may be selectively enabled.
  • the processing results for a certain link can be further processed and output to the next link, for example, in interpolation filtering, motion vector derivation or loop filtering, etc. After the link, the results of the corresponding link are further clipped or shift shifted.
  • the motion vector of the control point of the current image block derived from the motion vector of the adjacent affine coding block may be further processed, and the present invention does not limit this.
  • the value range of the motion vector is constrained to be within a certain bit width. Assuming that the allowed bit width of the motion vector is bitDepth, the range of the motion vector is -2 ⁇ (bitDepth-1) ⁇ 2 ⁇ (bitDepth-1) -1, where the " ⁇ " symbol indicates a power. If bitDepth is 16, the value ranges from -32768 to 32767. If bitDepth is 18, the value ranges from -131072 to 131071. There are two ways to constrain:
  • ux (vx + 2 bitDepth )% 2 bitDepth
  • the value of vx is -32769, and 32767 is obtained by the above formula. Because in the computer, the value is stored in the form of two's complement, the complement of -32769 is 1,0111,1111,1111,1111 (17 bits), the computer handles the overflow as discarding the high bit, then the value of vx If it is 0111,1111,1111,1111, it is 32767, which is consistent with the result obtained by formula processing.
  • vx Clip3 (-2 bitDepth-1 , 2 bitDepth-1 -1, vx)
  • vy Clip3 (-2 bitDepth-1 , 2 bitDepth-1 -1, vy)
  • Clip3 is to clamp the value of z to the interval [x, y]:
  • FIG. 4 is a schematic structural diagram of a video decoding device 400 (for example, a video encoding device 400 or a video decoding device 400) provided by an embodiment of the present invention.
  • the video coding apparatus 400 is suitable for implementing the embodiments described herein.
  • the video coding device 400 may be a video decoder (eg, decoder 30 of FIG. 1A) or a video encoder (eg, encoder 20 of FIG. 1A).
  • the video decoding device 400 may be one or more components in the decoder 30 of FIG. 1A or the encoder 20 of FIG. 1A described above.
  • the video decoding device 400 includes: an inlet port 410 for receiving data and a receiving unit (Rx) 420, a processor for processing data, a logic unit or a central processing unit (CPU) 430, and a transmitter unit for transmitting data (Tx) 440 and exit port 450, and a memory 460 for storing data.
  • the video decoding device 400 may further include a photoelectric conversion component and an electro-optical (EO) component coupled to the inlet port 410, the receiver unit 420, the transmitter unit 440, and the outlet port 450 for the outlet or inlet of the optical signal or the electrical signal.
  • EO electro-optical
  • the processor 430 is implemented by hardware and software.
  • the processor 430 may be implemented as one or more CPU chips, cores (eg, multi-core processors), FPGA, ASIC, and DSP.
  • the processor 430 communicates with the inlet port 410, the receiver unit 420, the transmitter unit 440, the outlet port 450, and the memory 460.
  • the processor 430 includes a decoding module 470 (for example, an encoding module 470 or a decoding module 470).
  • the encoding / decoding module 470 implements the embodiments disclosed herein to implement the chroma block prediction method provided by the embodiments of the present invention.
  • the encoding / decoding module 470 implements, processes, or provides various encoding operations.
  • the encoding / decoding module 470 provides a substantial improvement in the function of the video decoding device 400 and affects the conversion of the video decoding device 400 to different states.
  • the encoding / decoding module 470 is implemented with instructions stored in the memory 460 and executed by the processor 430.
  • the memory 460 includes one or more magnetic disks, tape drives, and solid state drives, and can be used as an overflow data storage device for storing programs when these programs are selectively executed, and storing instructions and data read during the execution of the programs.
  • the memory 460 may be volatile and / or non-volatile, and may be read only memory (ROM), random access memory (RAM), random access memory (ternary content-addressable memory (TCAM), and / or static Random Access Memory (SRAM).
  • FIG. 5 is a simplified block diagram of an apparatus 500 that can be used as either or both of the source device 12 and the destination device 14 in FIG. 1A according to an exemplary embodiment.
  • the device 500 can implement the technology of the present invention.
  • FIG. 5 is a schematic block diagram of an implementation manner of an encoding device or a decoding device (referred to simply as a decoding device 500) according to an embodiment of the present invention.
  • the decoding device 500 may include a processor 510, a memory 530, and a bus system 550.
  • the processor and the memory are connected through a bus system, the memory is used to store instructions, and the processor is used to execute the instructions stored in the memory.
  • the memory of the decoding device stores program codes, and the processor can call the program codes stored in the memory to perform various video encoding or decoding methods described in the present invention. In order to avoid repetition, they will not be described in detail here.
  • the processor 510 may be a central processing unit (Central Processing Unit, referred to as "CPU"), and the processor 510 may also be other general-purpose processors, digital signal processors (DSPs), and dedicated integrated Circuit (ASIC), ready-made programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • the general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • the memory 530 may include a read only memory (ROM) device or a random access memory (RAM) device. Any other suitable type of storage device may also be used as the memory 530.
  • the memory 530 may include code and data 531 accessed by the processor 510 using the bus 550.
  • the memory 530 may further include an operating system 533 and an application program 535 including at least one program that allows the processor 510 to execute the video encoding or decoding method described in the present invention.
  • the application program 535 may include applications 1 to N, which further include a video encoding or decoding application (referred to as a video decoding application) that performs the video encoding or decoding method described in the present invention.
  • the bus system 550 may also include a power bus, a control bus, and a status signal bus. However, for clear explanation, various buses are marked as the bus system 550 in the figure.
  • the decoding device 500 may also include one or more output devices, such as a display 570.
  • the display 570 may be a tactile display that combines the display with a tactile unit that operably senses touch input.
  • the display 570 may be connected to the processor 510 via the bus 550.
  • the processor 510 and the memory 530 of the device 500 are illustrated in FIG. 5 as being integrated in a single unit, other configurations may be used.
  • the operation of the processor 510 may be distributed among multiple directly-coupled machines (each machine has one or more processors), or distributed in a local area or other network.
  • the memory 530 may be distributed among multiple machines, such as a network-based memory or a memory among multiple machines running the device 500. Although only a single bus is shown here, the bus 550 of the device 500 may be formed by multiple buses.
  • the slave memory 530 may be directly coupled to other components of the device 500 or may be accessed through a network, and may include a single integrated unit, such as one memory card, or multiple units, such as multiple memory cards. Therefore, the device 500 can be implemented in various configurations.
  • inter prediction modes non-translational motion models
  • inherited control point motion vector prediction methods constructed control point motion vector prediction methods
  • Advanced motion vector prediction mode based on affine motion model fusion mode based on affine motion model
  • sub-block fusion mode generalized bidirectional prediction method
  • Inter prediction mode In HEVC, two inter prediction modes are used, which are advanced motion vector prediction (advanced motion vector prediction, AMVP) mode and merge mode.
  • AMVP advanced motion vector prediction
  • merge mode In HEVC, two inter prediction modes are used, which are advanced motion vector prediction (advanced motion vector prediction, AMVP) mode and merge mode.
  • the AMVP mode For the AMVP mode, first traverse the coded blocks adjacent to the current block in the spatial or temporal domain (denoted as adjacent blocks), construct a candidate motion vector list (also called a motion information candidate list) based on the motion information of each neighboring block, and then The optimal motion vector is determined from the candidate motion vector list through the rate distortion cost, and the candidate motion information with the lowest rate distortion cost is used as the motion vector predictor (MVP) of the current block.
  • MVP motion vector predictor
  • the position of the neighboring block and its traversal order are pre-defined.
  • the rate-distortion cost is calculated by formula (1), where J represents the rate-distortion cost RD Cost, and SAD is the sum of absolute errors between the predicted pixel value and the original pixel value obtained after motion estimation using candidate motion vector prediction values (sum of absolute differences, SAD), R represents the code rate, ⁇ represents the Lagrangian multiplier.
  • the encoding end passes the index value of the selected motion vector prediction value in the candidate motion vector list and the reference frame index value to the decoding end. Further, a motion search is performed in the MVP-centered neighborhood to obtain the actual motion vector of the current block, and the encoding end transmits the difference (motion vector difference) between the MVP and the actual motion vector to the decoding end.
  • the motion information of the coded blocks adjacent to the current block in the spatial or temporal domain is first used to construct a candidate motion vector list, and then the optimal motion information is determined from the candidate motion vector list as the current block by calculating the rate-distortion cost Motion information, and then pass the index value of the optimal motion information position in the candidate motion vector list (recorded as merge index, the same below) to the decoding end.
  • the candidate motion information of the current block in the spatial and temporal domains is shown in Figure 6.
  • the spatial candidate motion information comes from the five adjacent blocks in space (A0, A1, B0, B1, and B2).
  • the motion information of the neighboring block is not added to the candidate motion vector list.
  • the time-domain candidate motion information of the current block is obtained by scaling the MV of the corresponding position block in the reference frame according to the picture order count (POC) of the reference frame and the current frame. First determine whether the block at the T position in the reference frame is available, and if it is not available, select the block at the C position.
  • POC picture order count
  • the location and traversal order of neighbor blocks in the Merge mode are also predefined, and the location and traversal order of neighbor blocks may be different in different modes.
  • the candidate motion information may include but is not limited to motion vector, prediction direction, and reference frame index.
  • HEVC inter prediction all pixels in the coding block adopt the same motion information, and then perform motion compensation according to the motion information to obtain the prediction value of the pixels of the coding block.
  • the same motion information may lead to inaccurate motion compensation prediction, thereby increasing residual information.
  • the AMVP mode can be divided into the AMVP mode based on the translation model and the AMVP mode based on the non-translation model;
  • the Merge mode can be divided into the Merge mode based on the translation model and the non-translational motion model Merge mode.
  • Non-translational motion model prediction refers to using the same motion model at the codec to derive the motion information of each sub-motion compensation unit in the current block, performing motion compensation according to the motion information of the sub-motion compensation unit to obtain the prediction block, thereby improving prediction effectiveness.
  • Commonly used non-translational motion models are 4-parameter affine motion models or 6-parameter affine motion models.
  • the sub-motion compensation unit involved in the embodiment of the present invention may be a pixel point or a pixel block of a size of N 1 ⁇ N 2 divided according to a specific method, where N 1 and N 2 are both positive integers, N 1 may be equal to N 2, it may not be equal to N 2.
  • non-translational motion models are 4-parameter affine motion models or 6-parameter affine motion models. In possible application scenarios, there are 8-parameter bilinear models. Each will be explained below.
  • the 4-parameter affine motion model can be represented by the motion vectors of two pixels and their coordinates relative to the upper left vertex pixel of the current block.
  • the pixels used to represent the parameters of the motion model are called control points. If the upper left vertex (0,0) and upper right vertex (W, 0) pixels are used as control points, the motion vectors (vx0, vy0) and (vx1, vy1) of the control points of the upper left vertex and upper right vertex of the current block are determined first, Then obtain the motion information of each sub-motion compensation unit in the current block according to formula (3), where (x, y) is the coordinate of the sub-motion compensation unit relative to the upper left vertex pixel of the current block, and W is the width of the current block.
  • the 6-parameter affine motion model can be represented by the motion vectors of three pixels and their coordinates relative to the top left vertex pixel of the current block. If the upper left vertex (0, 0), upper right vertex (W, 0) and lower left vertex (0, H) pixels are used as control points, then the motion vectors of the upper left vertex, upper right vertex and lower left vertex control points of the current block are determined first Are (vx0, vy0) and (vx1, vy1) and (vx2, vy2), and then obtain the motion information of each sub-motion compensation unit in the current block according to formula (5), where (x, y) is the sub-motion compensation unit Relative to the coordinates of the upper left vertex pixel of the current block, W and H are the width and height of the current block, respectively.
  • the 8-parameter bilinear model can be represented by the motion vectors of four pixels and their coordinates relative to the upper left vertex pixel of the current coding block. If the upper left vertex (0,0), upper right vertex (W, 0), lower left vertex (0, H), and lower right fixed point (W, H) pixels are used as control points, the upper left vertex and upper right of the current coding block are determined first The motion vectors (vx0, vy0), (vx1, vy1), (vx2, vy2), and (vx3, vy3) of the control points of the vertices, the lower left vertex, and the lower right vertex control points, and then deduced according to the following formula (7) The motion information of each sub-motion compensation unit, where (x, y) is the coordinate of the sub-motion compensation unit relative to the upper left vertex pixel of the current coding block, and W and H are the width and height of the current coding block, respectively.
  • the coding block predicted by the affine motion model may also be called an affine coding block. It can be seen from the above that the affine motion model is related to the motion information of the control points of the affine coding block.
  • the Advanced Motion Vector Prediction (AMVP) mode based on the affine motion model or the Merge mode based on the affine motion model can be used to obtain the motion information of the control points of the affine coding block. Further, the motion information of the control point of the current coding block can be obtained by the inherited control point motion vector prediction method or the constructed control point motion vector prediction method.
  • AMVP Advanced Motion Vector Prediction
  • the inherited control point motion vector prediction method refers to determining the candidate control point motion vectors of the current block using the motion models of adjacent coded affine coding blocks.
  • Affine coding block obtain the control point motion information of the affine coding block, and then derive the control point motion vector (for Merge mode) or control of the current block by the motion model constructed by the control point motion information of the affine coding block The predicted value of the motion vector of the point (for AMVP mode).
  • A1 ⁇ B1 ⁇ B0 ⁇ A0 ⁇ B2 is only an example, and the order of other combinations is also applicable to the present invention.
  • the adjacent position blocks are not limited to A1, B1, B0, A0, and B2.
  • the adjacent position block may be a pixel point, a pixel block of a predetermined size divided according to a specific method, for example, a 4x4 pixel block, a 4x2 pixel block, or a pixel block of another size, not used limited.
  • the affine coding block is a coded block adjacent to the current block predicted by the affine motion model at the coding stage (may also be referred to as an adjacent affine coding block).
  • the motion vector (vx4) of the upper left vertex (x4, y4) of the affine coding block is obtained , vy4), the motion vector (vx5, vy5) of the upper right vertex (x5, y5).
  • the combination of the motion vector (vx0, vy0) of the upper left vertex (x0, y0) of the current block and the motion vector (vx1, vy1) of the upper right vertex (x1, y1) of the current block obtained based on the affine coding block where A1 is located as above is the current The candidate control point motion vector of the block.
  • the motion vector (vx4) of the upper left vertex (x4, y4) of the affine coding block is obtained , vy4), the motion vector (vx5, vy5) of the upper right vertex (x5, y5), and the motion vector (vx6, vy6) of the lower left vertex (x6, y6).
  • the combination of the motion vectors (vx2, vy2) of the vertices (x2, y2) is the candidate control point motion vector of the current block.
  • Constructed control point motion vectors (constructed control point motion vectors) prediction method 1 A control point motion vector prediction method based on the AMVP mode of the affine motion model.
  • the constructed control point motion vector prediction method refers to combining the motion vectors of coded blocks adjacent to the control point of the current block as the motion vectors of the control points of the current affine coding block without considering the neighboring neighbors Whether the encoded block of is an affine encoding block. Based on different prediction modes (AMVP mode based on affine motion model and Merge mode based on affine motion model), the constructed control point motion vector prediction method is different.
  • AMVP mode based on affine motion model
  • Merge mode based on affine motion model
  • the control point motion vector prediction method based on the construction of the AMVP mode of the affine motion model is specifically described below. Taking the example shown in FIG. 8A as an example to describe the constructed control point motion vector prediction method, the motion vectors of the upper left vertex and the upper right vertex of the current block are determined using the motion information of adjacent coded blocks around the current coding block. It should be noted that FIG. 8A is only an example.
  • the motion vectors of the upper left vertex adjacent to the encoded blocks A2, B2, and B3 are used as the upper left vertex of the current block.
  • Candidate motion vectors for motion vectors use the motion vectors of the encoded blocks B1 and B0 adjacent to the upper right vertex as candidate motion vectors for the motion vector of the upper right vertex of the current block.
  • the candidate motion vectors of the upper left vertex and the upper right vertex are combined to form a plurality of binary groups.
  • the motion vectors of the two encoded blocks included in the binary group can be used as the candidate control point motion vectors of the current block. See below (13A ) As shown:
  • v A2 represents the motion vector of A2
  • v B1 represents the motion vector of B1
  • v B0 represents the motion vector of B0
  • v B2 represents the motion vector of B2
  • v B3 represents the motion vector of B3.
  • the motion vectors of the upper left vertex adjacent to the encoded blocks A2, B2, and B3 are used as the upper left vertex of the current block
  • Candidate motion vectors of the motion vectors use the motion vectors of the upper right vertex adjacent to the encoded blocks B1 and B0 as the motion vector candidate of the upper right vertex of the current block, and use the sitting vertex adjacent to the encoded blocks A0, A1
  • the motion vector serves as a candidate motion vector of the motion vector of the lower left vertex of the current block.
  • the candidate motion vectors of the upper left vertex, the upper right vertex, and the lower left vertex are combined to form a triplet.
  • the motion vectors of the three encoded blocks included in the triplet can be used as the candidate control point motion vectors of the current block. See the following formula (13B), (13C) shows:
  • v A2 represents the motion vector of A2
  • v B1 represents the motion vector of B1
  • v B0 represents the motion vector of B0
  • v B2 represents the motion vector of B2
  • v B3 represents the motion vector of B3
  • v A0 represents the motion vector of A0
  • v A1 represents the motion vector of A1.
  • Constructed control point motion vectors (constructed control point motion vectors) prediction method 2 A control point motion vector prediction method based on the Merge mode of the affine motion model.
  • the motion vectors of the upper left vertex and the upper right vertex of the current block are determined using the motion information of adjacent coded blocks around the current coding block. It should be noted that FIG. 8B is only an example.
  • A0, A1, A2, B0, B1, B2, and B3 are the spatial adjacent positions of the current block, which are used to predict CP1, CP2, or CP3;
  • T is the temporal adjacent positions of the current block, which are used to predict CP4.
  • the coordinates of CP1, CP2, CP3, and CP4 are (0, 0), (W, 0), (H, 0), and (W, H), where W and H are the width and height of the current block.
  • the motion information of each control point of the current block can be obtained in the following order:
  • the inspection sequence is B2 ⁇ A2 ⁇ B3. If B2 is available, the motion information of B2 is used. Otherwise, detect A2, B3. If the motion information of the three positions is not available, the motion information of CP1 cannot be obtained.
  • the check sequence is B0 ⁇ B1; if B0 is available, CP2 uses the motion information of B0. Otherwise, detect B1. If motion information is not available at both locations, CP2 motion information cannot be obtained.
  • the detection sequence is A0 ⁇ A1;
  • X available means that the block including the position of X (X is A0, A1, A2, B0, B1, B2, B3 or T) has been encoded and adopts the inter prediction mode; otherwise, the X position is not available. It should be noted that other methods for obtaining motion information of the control point can also be applied to the embodiment of the present invention, and details are not described here.
  • the motion information of the control points of the current block is combined to obtain the constructed motion information of the control points.
  • the motion information of the two control points of the current block is combined to form a binary group, which is used to construct a 4-parameter affine motion model.
  • the combination of the two control points can be ⁇ CP1, CP4 ⁇ , ⁇ CP2, CP3 ⁇ , ⁇ CP1, CP2 ⁇ , ⁇ CP2, CP4 ⁇ , ⁇ CP1, CP3 ⁇ , ⁇ CP3, CP4 ⁇ .
  • a 4-parameter affine motion model constructed using a binary group consisting of CP1 and CP2 control points can be written as Affine (CP1, CP2).
  • the motion information of the three control points of the current block is combined to form a triplet, which is used to construct a 6-parameter affine motion model.
  • the combination of the three control points can be ⁇ CP1, CP2, CP4 ⁇ , ⁇ CP1, CP2, CP3 ⁇ , ⁇ CP2, CP3, CP4 ⁇ , ⁇ CP1, CP3, CP4 ⁇ .
  • a 6-parameter affine motion model constructed with a triple consisting of CP1, CP2, and CP3 control points can be written as Affine (CP1, CP2, CP3).
  • the current block uses an 8-parameter bilinear model for prediction
  • a quaternion formed by combining motion information of four control points of the current block is used to construct an 8-parameter bilinear model.
  • An 8-parameter bilinear model constructed with a quadruple composed of CP1, CP2, CP3, and CP4 control points is recorded as Bilinear (CP1, CP2, CP3, CP4).
  • the combination of motion information of two control points is referred to as a binary group, and the combination of motion information of three control points (or two coded blocks) is combined.
  • the motion information combination of four control points is referred to simply as a quad.
  • CurPoc represents the POC number of the current frame
  • DesPoc represents the POC number of the reference frame of the current block
  • SrcPoc represents the POC number of the reference frame of the control point
  • MV s represents the motion vector obtained by scaling
  • MV represents the motion vector of the control point.
  • the construction device determines whether the reference frame indexes of all control points in the optional motion information combination are the same; in the optional motion information combination When the reference frame indexes of all control points are the same, the construction device adds the optional motion information combination to the motion information candidate list.
  • the construction device does not perform the judgment of the motion vector of the control point in the combination and the scaling of the motion vector, which solves the problem of high computational complexity caused by the scaling of the motion vector. That is to say, in this scenario, the reference frame indexes of all control points in the optional motion information combination that meets the preset condition are the same.
  • the construction device determines whether the reference frame indexes of all control points in the optional motion information combination are the same; in the optional motion information combination When the reference frame indexes of all control points are the same, the construction device judges whether the selectable motion vectors of all control points in the selectable motion information combination are the same; if the selectable motions of all control points in the selectable motion information combination The vectors are different, and the construction device stores the optional motion information combination in the motion information candidate list.
  • the construction device does not perform the scaling of the motion vector, which solves the problem of high computational complexity caused by the scaling of the motion vector. That is to say, in this scenario, the reference frame indexes of all control points in the combination of selectable motion information satisfying the preset condition are the same, and the selectable motion vectors of at least two control points are different.
  • the optional motion information combination generated by the construction device may further include at least the optional motion information of the first control point and the optional motion information of the second control point Motion information, where the first control point and the second control point are adjacent control points of the current image block. That is to say, the optional motion information combination cannot only include the optional motion information of the diagonal control points of the current image block.
  • the 4-parameter affine motion model obtained by combining ⁇ CP1, CP4 ⁇ , ⁇ CP2, CP3 ⁇ , ⁇ CP2, CP4 ⁇ , ⁇ CP1, CP3 ⁇ , ⁇ CP3, CP4 ⁇ into ⁇ CP1, CP2 ⁇ or ⁇ CP1, CP2, CP3 ⁇ to express.
  • the conversion method is to substitute the motion vector of the control point and its coordinate information into formula (2) to obtain the model parameters, and then substitute the coordinate information of ⁇ CP1, CP2 ⁇ into formula (3) to obtain the motion vector.
  • the conversion can be performed according to the following formulas (15)-(23), where W represents the width of the current block and H represents the height of the current block.
  • (vx 0 , vy 0 ) represents the motion vector of CP1
  • (vx 1 , vy 1 ) represents the motion vector of CP2
  • (vx 2 , vy 2 ) represents the motion vector of CP3
  • (vx 3 , vy 3 ) represents the motion vector of CP4.
  • Conversion of ⁇ CP1, CP2 ⁇ to ⁇ CP1, CP2, CP3 ⁇ can be achieved by the following formula (15), that is, the motion vector of CP3 in ⁇ CP1, CP2, CP3 ⁇ can be determined by the formula (15):
  • Conversion of ⁇ CP2, CP4 ⁇ to ⁇ CP1, CP2 ⁇ can be achieved by the following formula (20), and conversion of ⁇ CP2, CP4 ⁇ to ⁇ CP1, CP2, CP3 ⁇ can be achieved by the formulas (20) and (21):
  • Conversion of ⁇ CP3, CP4 ⁇ to ⁇ CP1, CP2 ⁇ can be achieved by the following formula (20), and conversion of ⁇ CP3, CP4 ⁇ to ⁇ CP1, CP2, CP3 ⁇ can be achieved by the following formulas (22) and (23):
  • the 6-parameter affine motion model combined with ⁇ CP1, CP2, CP4 ⁇ , ⁇ CP2, CP3, CP4 ⁇ , ⁇ CP1, CP3, CP4 ⁇ is converted into control points ⁇ CP1, CP2, CP3 ⁇ to represent.
  • the conversion method is to substitute the motion vector of the control point and its coordinate information into the above formula (4) to obtain the model parameters, and then substitute the coordinate information of ⁇ CP1, CP2, CP3 ⁇ into the above formula (5) to obtain the motion vector.
  • the conversion can be performed according to the following formulas (24)-(26), where W represents the width of the current block and H represents the height of the current block.
  • (vx 0 , vy 0 ) represents the motion vector of CP1
  • (vx 1 , vy 1 ) represents the motion vector of CP2
  • (vx 2 , vy 2 ) represents the motion vector of CP3
  • (vx 3 , vy 3 ) represents the motion vector of CP4.
  • the candidate motion vector list is empty at this time, the candidate control point motion information is added to the candidate motion vector list; otherwise, the motion information in the candidate motion vector list is sequentially traversed to check the candidate motion Whether the same motion information as the motion information of the candidate control point exists in the vector list. If the same motion information as the candidate control point motion information does not exist in the candidate motion vector list, the candidate control point motion information is added to the candidate motion vector list.
  • the maximum list length such as MaxAffineNumMrgCand
  • a preset sequence is as follows: Affine (CP1, CP2, CP3) ⁇ Affine (CP1, CP2, CP4) ⁇ Affine (CP1, CP3, CP4) ⁇ Affine (CP2, CP3, CP4) ⁇ Affine (CP2, CP3, CP4) ⁇ Affine (CP1, CP2) ⁇ Affine (CP1, CP3) ⁇ Affine (CP2, CP3) ⁇ Affine (CP1, CP4) ⁇ Affine (CP2, CP4) ⁇ Affine (CP3, CP4), a total of 10 combinations.
  • the combination is considered unavailable. If the combination is available, determine the reference frame index of the combination (when two control points, select the reference frame index with the smallest reference frame index as the reference frame index of the combination; when greater than two control points, first select the reference frame index with the most occurrences, If there are as many occurrences of multiple reference frame indexes as possible, the smallest reference frame index is selected as the combined reference frame index), and the motion vector of the control point is scaled. If the motion information of all control points after zooming is consistent, the combination is invalid.
  • ATMVP Advanced time domain motion vector prediction
  • HEVC inter-frame prediction all pixels in a coding unit (Coding Unit, CU) use the same motion information for motion compensation to obtain the predicted value of the pixels in the CU.
  • the pixels in the CU do not necessarily have the same motion characteristics.
  • Using the same motion information to predict all the pixels in the CU may reduce the accuracy of motion compensation.
  • the use of ATMVP method is beneficial to improve the accuracy of motion compensation.
  • the process of inter prediction of the current image using the ATMVP technology mainly includes: determining the offset motion vector of the current block to be processed in the current encoded image; according to the sub-block to be processed in the current block to be processed And the above offset motion vector, determine the corresponding sub-block of the sub-block to be processed in the corresponding reference image (target image); according to the motion vector of the corresponding sub-block, determine the motion vector of the current sub-block to be processed; according to the to-be-processed
  • the motion vector of the sub-block performs motion compensation prediction on the sub-block to be processed to obtain a more accurate predicted pixel value of the sub-block to be processed. It can be understood that, based on the above process, a more accurate predicted pixel value of the current block to be processed can be further obtained.
  • the PLANAR method uses two linear filters in the horizontal and vertical directions, and uses the average of the two as the predicted value of the current block pixel. This approach can make the predicted pixel values change gently and improve the subjective quality of the image.
  • the motion information of the neighboring position of the upper space, the neighboring position of the left space, and the right and lower positions of each sub-block (sub-coding unit) of the current block is obtained by averaging Value, and converted into the current motion information of each sub-block.
  • the sub-block motion vector P (x, y) can use the horizontal interpolation motion vector P h (x, y) and the vertical interpolation motion vector P v (x, y) Calculated, as shown in formula (27):
  • the horizontally interpolated motion vector P h (x, y) and the vertical interpolated motion vector P v (x, y) can be calculated by using the motion vectors on the left, right, top, and bottom of the current subblock, as in the formula (28) (29) shows:
  • L (-1, y) and R (W, y) represent the motion vector of the left and right positions of the current sub-block
  • a (x, -1) and B (x, H) represents the above and The motion vector of the lower position.
  • the left motion vector L and the upper motion vector A can be obtained from the spatial neighboring blocks of the current coding block.
  • the motion vectors L (-1, y) and A (x, -1) of the coding block at preset positions (-1, y) and (x, -1) are obtained according to the sub-block coordinates (x, y).
  • the right motion vector R (W, y) and the lower motion vector B (x, H) are extracted by the following methods: extracting the time domain motion information BR of the lower right position of the current coding block; using the extracted motion vectors near the upper right space The weighted calculation of the time domain motion information BR of the AR and the lower right position obtains the right motion vector R (W, y), as shown in the following formula (30):
  • the lower motion vector B (x, H) is weighted using the extracted motion vector BL near the lower left spatial domain and the time domain motion information BR at the lower right location, as shown in the following equation (31):
  • Affine AMVP mode based on affine motion model.
  • the inherited control point motion vector prediction method and / or the constructed control point motion vector prediction method can be used to construct a candidate motion vector list for the AMVP mode based on the affine motion model.
  • the candidate motion vector list of the AMVP mode based on the affine motion model may be called a control point motion vector predictor candidate list (control point motion vectors predictor candidate list), and the control point motion vectors in the list
  • the predicted value includes 2 (for example, the current block is a 4-parameter affine motion model) candidate control point motion vectors or 3 (for example, the current block is a 6-parameter affine motion model) candidate control point motion vectors.
  • control point motion vector predictor candidate list can also be pruned and sorted according to specific rules, and it can be truncated or filled to a specific number.
  • the encoder uses each motion vector motion vector predictor in the motion vector motion vector predictor candidate list to obtain the current value by formula (3) or (5) or (7)
  • the motion vector of each sub-motion compensation unit in the coding block, and then the pixel value of the corresponding position in the reference frame pointed by the motion vector of each sub-motion compensation unit is obtained as its predicted value, and motion compensation using the affine motion model is performed.
  • the motion vector predictor of 2 or 3 or 4 control points of the block.
  • the motion vector of the control point is obtained by using the motion vector prediction value of the control point as the search starting point within a certain search range, and the motion vector and control point of the control point are calculated. Differences between motion vector predictors (control points, motion vectors, differences, CPMVD). Then, the encoder transmits the index number indicating the position of the control point motion vector prediction value in the control point motion vector prediction value candidate list and the CPMVD coded code stream to the decoding end.
  • the decoder parses and obtains the index number and the control point motion vector difference value (CPMVD) in the code stream, and determines the control point motion vector from the control point motion vector prediction value candidate list according to the index number Predictor (control point motion vectors predictor, CPMVP), add CPMVP and CPMVD to get the control point motion vector.
  • CPMVD control point motion vector difference value
  • Affine Merge mode based on affine motion model.
  • the inherited control point motion vector prediction method and / or the constructed control point motion vector prediction method can be used to construct a control point motion vector fusion candidate list (control point motion vectors merger candidate list).
  • control point motion vector fusion candidate list can be pruned and sorted according to specific rules, and it can be truncated or filled to a specific number.
  • the encoder uses each control point motion vector in the fusion candidate list to obtain each sub-motion compensation unit ((3) or (5) or (7) in the current coding block by formula (3) or (5) or (7) Pixels or pixel blocks of a size of N 1 ⁇ N 2 divided by a specific method), and then obtain the pixel value of the position in the reference frame pointed by the motion vector of each sub-motion compensation unit, as its predicted value, simulate Shooting motion compensation. Calculate the average value of the difference between the original value and the predicted value of each pixel in the current coding block, and select the control point motion vector corresponding to the minimum average value of the difference as the current coding block 2 or 3 or 4 control points Sport vector.
  • the index number representing the position of the motion vector of the control point in the candidate list is encoded into the code stream and sent to the decoding end.
  • a decoder (such as the aforementioned decoder 30) parses the index number, and determines a control point motion vector (CPMV) from the control point motion vector fusion candidate list according to the index number.
  • CPMV control point motion vector
  • Sub-block based merging mode Using the sub-block fusion mode, the candidate motion information obtained by the ATMVP method and / or PLAnar mode can be added to the candidate list on the basis of 9). That is, the inherited control point motion vector prediction method, and / or, the constructed control point motion vector prediction method, and / or, the ATMVP method, and / or, the PLANER method can be used to construct a sub-block fusion candidate list (sub -block based on candidate list).
  • the sub-block fusion candidate list may be pruned and sorted according to specific rules, and may be truncated or filled to a specific number.
  • each candidate motion information in the sub-block fusion candidate list uses each candidate motion information in the sub-block fusion candidate list. If the candidate is the ATMVP method or PLANOR method, then obtain the motion information of each sub-block according to the method 6) or 7); if the candidate is affine motion Mode, according to the motion vector of each control point, the size of each sub-motion compensation unit (sub-block, pixel point or specific method division in the current coding block is N 1 ⁇ through the formula (3) / (5) / (7) N 2 pixel block) motion vector, and then get the pixel value of the position in the reference frame pointed by the motion vector of each sub-motion compensation unit, as its predicted value, affine motion compensation.
  • control point motion vector control point motion vectors, CPMV
  • sub-block motion information if ATMVP method or PLANAR method
  • the block-level generalized bi-prediction (GBi) method can also be called a bi-directional prediction block-level weighted prediction method.
  • Bidirectional prediction includes first direction prediction and second direction prediction.
  • the first direction prediction is to predict the motion vector of the current block based on the reference image in the first direction, thereby obtaining the reference block (or Prediction block), wherein the reference image in the first direction is one of the first reference image frame set, and the first reference image frame set includes a certain number of reference images;
  • the second direction prediction is based on the second
  • the reference image in the direction to predict the second motion vector of the current block to obtain the reference block (or prediction block) in the second direction of the current block, the reference image in the second direction is the second reference image frame set One, the second reference image frame set includes a certain number of reference images.
  • the first reference image frame set is reference picture list 0 (reference picture list 0, list0), and the second reference image frame set is reference picture list 1 (reference picture list 1, list 1).
  • the first reference image frame set is list1, and the second reference image frame set is list0.
  • Bidirectional prediction may specifically be to select a reference image from the first reference image frame set and the second reference image frame set to obtain a reference block, and then determine the pixel value of the pixel in the current image block according to the pixel value of the pixel in the two reference blocks Predicted value.
  • the bidirectional prediction may also be called forward and backward prediction, that is to say, the bidirectional prediction includes forward prediction and backward prediction.
  • the bidirectional prediction includes forward prediction and backward prediction.
  • the first direction prediction is forward prediction
  • the second direction The prediction is correspondingly backward prediction
  • the first direction prediction is backward prediction
  • the second direction prediction is corresponding forward prediction.
  • two lists of encoded frames eg, List0 and List1
  • both lists may contain multiple encoded reference frames in the forward and backward directions.
  • the current The reference blocks (prediction blocks) before and after the current image block to be processed of the encoded image are provided by the reference frames in the two encoded frame lists.
  • each bidirectionally predicted image block can select a set of weight values from multiple sets of weight value combinations to complete weighted prediction.
  • the bi-predicted image block prediction value P bi-pred can be achieved by formula (32):
  • P0 and P1 are the predicted pixels after the motion compensation of the first direction reference frame and the second direction reference frame, respectively, w is the pixel value of the second direction reference frame expressed in 1/8 precision in the bidirectionally predicted image block
  • the weighting parameter occupied by the predicted value (w isis weighting parameter for list-1prediction represented in 1 / 8precision), >> means right shift operation.
  • the value of w can be selected from the value set ⁇ 4, -2,10,3,5 ⁇ , for example, and the weight value ⁇ 4/8, -2 / 8,10 / 8,3 / 8,5 / 8 ⁇ can be set
  • the corresponding GBi index numbers are ⁇ 0,1,2,3,4 ⁇ in sequence.
  • the value of w can be selected from the set of values ⁇ 3, 4, 5 ⁇ , for example.
  • the GBi index number corresponding to the weight value ⁇ 3/8, 4/8, 5/8 ⁇ can be set to ⁇ 0, 1, 2 ⁇ , that is, there is a corresponding relationship between the weight value and the GBi index number.
  • weighted prediction is performed according to the weight value to obtain the prediction value of the bidirectionally predicted image block.
  • the correspondence between w and the GBi index number can also be directly established.
  • the GBi index number corresponding to the value set ⁇ 4, -2,10,3,5 ⁇ can be set to ⁇ 0,1,2,3,4 ⁇ in sequence.
  • weighted prediction is performed according to the weight value to obtain the prediction value of the bidirectionally predicted image block.
  • the GBi index number (the Generalization Bi-prediction weight) can be used to determine a certain direction reference frame (first direction reference frame or second direction reference frame) of the image block in the bidirectional prediction of the GBi method Weights.
  • the weight value corresponding to the GBi index number can be used to represent the weight of the reference block pixel value of the reference image in list0 in the current block prediction value.
  • the weight value corresponding to the GBi index number can be used to represent the weight of the reference block pixel value of the reference image in list1 in the current block prediction value.
  • the index numbers corresponding to ⁇ -2/8, 3/8, 4/8, 5/8, 10/8 ⁇ may be ⁇ 0, 1, 2, 3, 4 ⁇ in sequence.
  • the corresponding index numbers of ⁇ 4/8, 3/8, 5/8 ⁇ can be ⁇ 0, 1, 2 ⁇ in order.
  • the weight value of the reference frame in the first direction (for example, the backward reference frame) is determined (that is, one value in the set of weight values)
  • the weight value for the reference frame in the second direction (for example, the forward reference frame) Will be determined accordingly.
  • the weight value corresponding to the backward reference frame is 3/8 (the index number is 0, for example)
  • the weight value of the forward reference frame is correspondingly 5/8.
  • Such a combination of weight values ⁇ 3/8, 5/8> is a combination of weight values. It is understandable that different index numbers may correspond to different combinations of weight values.
  • Each bidirectionally predicted image block can select a set of weight values from multiple sets of weight value combinations to complete weighted prediction.
  • the prediction value of the bidirectionally predicted image block can be calculated according to each set of weight values, and the rate distortion cost (RD Cost) can be calculated according to the original value and the predicted value of each pixel in the image block, so that the rate distortion cost is selected to be the smallest
  • RD Cost rate distortion cost
  • the code stream is directly parsed to obtain the GBi index number; in the Merge mode, a candidate motion information list needs to be constructed, and then the motion information and GBi index number are obtained from the list according to merge index, and then based on the index number
  • the target weight value combination is selected from the group weight value combination, and weighted prediction is performed by using the weight value combination to obtain a predicted pixel.
  • the inherited control point motion vector prediction method or the constructed control point motion vector prediction method is used to obtain candidate motion information of each control point of the current block, and at the same time, the corresponding control point correspondence is obtained.
  • the GBi index number is stored for subsequent motion compensation and prediction; the obtained candidate motion information and GBi index number will also be used in other subsequent decoding processes, such as motion vector prediction in the decoding process of adjacent blocks.
  • the GBi index number corresponding to each control point of the current image block to be processed comes from the same coding unit (that is, the same adjacent encoded block), so the GBi index number corresponding to each control point Is consistent.
  • the GBi index number of the control point of the current image block to be processed comes from different coding units (that is, different adjacent coded blocks), so that there will be If the GBi index numbers of the control points are different, the GBi index numbers of the sub-blocks of the current block will eventually be different.
  • the affine motion model used in the current affine decoding block is the 4 affine motion model
  • set the GBi index numbers of the upper left corner sub-block and the upper right corner sub-block to the GBi index numbers of the upper left and upper right vertex control points, while the upper left sub The block and the upper-right sub-block are sub-blocks of different coding units.
  • Embodiments of the present invention provide a solution to solve the above problems, ensure the normal progress of the encoding process when using the GBi prediction method, and improve encoding efficiency and accuracy.
  • the following specifically describes some embodiments for determining the GBi index number of the current image block to be processed based on the constructed control point motion vector prediction method.
  • the motion vectors of multiple control points of the current image block to be processed are based on multiple processed image blocks (for At the encoding end, it is a plurality of adjacent coded blocks; for the decoding end, it is a plurality of adjacent decoded blocks).
  • the GBi index numbers of multiple control points of the image block to be processed can be obtained; in the constructed control point motion vector prediction method, the GBi index numbers of the multiple control points are each control point Corresponding GBi index number of the processed image block; according to the GBi index numbers of the multiple control points, determine the GBi index number of the image block to be processed, thereby determining the corresponding direction reference frame of the current image block to be processed Weights.
  • the GBi index number of one of the multiple control points is used as the GBi index number of the image block to be processed (that is, the GBi index of the first control point in the control point motion vector combination in the candidate motion information Number as the GBi index number corresponding to the candidate motion information), for example as follows:
  • the candidate motion information is obtained from the motion information of adjacent coded blocks A and B, and the GBi index numbers of adjacent coded blocks A and B are I A and I B , respectively. . Then the GBi index number corresponding to the candidate motion information can be derived based on the values of I A and I B : if the prediction direction in the candidate motion information is bidirectional prediction, use I A or I B as the GBi index number corresponding to the candidate motion information Otherwise, (non-bidirectional prediction or unidirectional prediction), the GBi index number corresponding to the preset value is used as the GBi index number corresponding to the candidate motion information.
  • the candidate motion information is obtained from the motion information of adjacent coded blocks A, B, and C.
  • the GBi index numbers of adjacent coded blocks A, B, and C are respectively I A , I B and I C.
  • the GBi index number corresponding to the candidate motion information of each control point can be derived based on the values of I A , I B and I C : If the prediction direction in the candidate motion information is bidirectional prediction, use I A , I B or I C as The GBi index number corresponding to the candidate motion information, otherwise (non-bidirectional prediction or unidirectional prediction), the GBi index number corresponding to the preset value is used as the GBi index number corresponding to the candidate motion information.
  • the motion vector of the control point in the candidate motion information is combined as Affine (A, B)
  • the prediction direction in the candidate motion information is bidirectional prediction
  • the first control point in the combination will be (Ie, control point A) the corresponding GBi index number is used as the GBi index number corresponding to the candidate motion information, otherwise, the GBi index number corresponding to the preset value is used as the GBi index number corresponding to the candidate motion information.
  • the GBi index number corresponding to the first control point CP1 in the combination is used as the GBi index number corresponding to the candidate motion information.
  • the control point motion vector combination in the candidate motion information is Affine (CP2, CP3)
  • the GBi index number corresponding to the first control point CP2 in the combination is used as the GBi index number corresponding to the candidate motion information.
  • the current image block to be processed has three control points, if the motion vectors of the control points in the candidate motion information are combined as Affine (A, B, C), if the prediction direction in the candidate motion information is bidirectional prediction, the first control in the combination will be
  • the GBi index number corresponding to the point that is, the control point A
  • the GBi index number corresponding to the preset value is used as the GBi index number corresponding to the candidate motion information.
  • the GBi index number corresponding to the first control point CP1 in the combination is used as the The GBi index number corresponding to the candidate motion information, otherwise, the GBi index number corresponding to the preset value is used as the GBi index number corresponding to the candidate motion information.
  • the control point motion vector combination in the candidate motion information is Affine (CP2, CP3, CP4)
  • the prediction direction in the candidate motion information is non-bidirectional prediction
  • the GBi index number corresponding to the preset value is used as the GBi corresponding to the candidate motion information The index number.
  • the candidate motion information may include but is not limited to a motion vector, a prediction direction, and a reference frame index.
  • the preset GBi index number may be used as the GBi index number of the current image block to be processed, and the weight value corresponding to the GBi index number of the image block to be processed may be used as the The weight value corresponding to the reference frame. For example, if the preset GBi index number is 0 and the weight value corresponding to the GBi index number of the current image block to be processed is equal to 1/2, then the weighting method for subsequent weighted prediction (bidirectional prediction) according to the weight value is average weighting.
  • the GBi index numbers of multiple control points of the image block to be processed can be obtained; in the constructed control point motion vector prediction method, the GBi index numbers of the multiple control points are each control point The GBi index number of the corresponding processed image block; then, according to the GBi index numbers of the multiple control points, determine the weight value corresponding to a certain direction reference frame of the current image block to be processed. For example, if the weight value corresponding to a certain direction reference frame (for example, a backward reference frame) is determined to be equal to 1/2 according to the GBi index numbers of the multiple control points, the weighting method for subsequent weighted prediction according to the weight value is average weighting.
  • a certain direction reference frame for example, a backward reference frame
  • the GBi index number of the current image block to be processed may also be determined according to the GBi index numbers of the multiple control points, and the weight value corresponding to the GBi index number of the image block to be processed may be used as the The weight value corresponding to the reference frame of the image block to be processed. For example, according to the GBi index numbers of the multiple control points, it is determined that the GBi index number of the current image block to be processed is 0, and the weight value 1/2 corresponding to the GBi index number 0 determines a certain direction reference frame (for example, a backward reference frame ) The corresponding weight value.
  • a certain direction reference frame for example, a backward reference frame
  • the preset value may be used as the weight value of a certain direction reference frame (the first direction reference frame or the second direction reference frame, the same below) of the image block to be processed in the GBi method, for example ,
  • the preset value is 1/2. That is to say, the GBi index number corresponding to the candidate motion information of each control point obtained based on the constructed control point motion vector prediction method is set to the index number corresponding to the weight value 1/2 (for example, 0).
  • the GBi index number of the coding unit corresponding to multiple control points of the current image block to be processed may be referred to as the GBi index number of multiple control points, the same below
  • the The weight value determined by the same GBi index number is used as the weight value of the reference frame in a certain direction of the image block to be processed in the GBi method, and the GBi index number corresponding to the candidate motion information of the control point is set to the same GBi Index number
  • the preset value is used as the weight value of the reference frame in a certain direction of the image block to be processed in the GBi method, the preset value For example, it is equal to 1/2, and the GBi index number corresponding to the candidate motion information of each control point is set to the index number corresponding to the weight value 1/2.
  • the GBi index number corresponding to the 1/2 weight value can be defined as K
  • the GBi index number of the candidate motion information obtained based on the constructed control point motion vector prediction method can be set as follows:
  • the candidate motion information is obtained from the motion information of adjacent coded blocks A, B, and C.
  • the GBi index numbers of adjacent coded blocks A, B, and C are respectively I A , I B and I C.
  • the largest number of the same GBi index number is used as the image block to be processed in the GBi method
  • the weight value of the reference frame in a certain direction of the direction, the GBi index number corresponding to the candidate motion information of the control point is set to the same GBi index number; in the case that the GBi index numbers of the multiple control points are not the same, change
  • the preset value is used as the weight value of the reference frame in a certain direction of the image block to be processed, the preset value is, for example, 1/2, and the GBi index number corresponding to the candidate motion information of each control point is set to the weight value 1/2 The corresponding index number.
  • the GBi index number corresponding to the weight value 1/2 can be defined as K
  • the GBi index number of the candidate motion information obtained based on the constructed control point motion vector prediction method can be set as follows:
  • the candidate motion information is obtained from the motion information of adjacent coded blocks A and B, and the GBi index numbers of A and B are I A and I B , respectively.
  • the candidate motion information is obtained from the motion information of adjacent coded blocks A, B, and C.
  • the GBi index numbers of adjacent coded blocks A, B, and C are respectively I A , I B and I C.
  • the GBi index number corresponding to the candidate motion information is derived from the values of I A , I B and I C : if there are equal values in I A , I B and I C , then the GBi corresponding to the candidate motion information of each control point an index number of the highest occurrence frequency index number; candidate motion if I a, I B and I C are different from each other, then each control point information corresponding to the index number is set to K.
  • the preset value when there is a same weight value as the preset value among the multiple weight values determined by the GBi index numbers of the multiple control points, the preset value is used as the GBi method
  • the weight value of the reference frame in a certain direction of the image block to be processed described in the above, and the GBi index number corresponding to the candidate motion information of the control point is set as the index number corresponding to the weight value.
  • the weight value with the smallest difference from the preset value among the multiple weight values is taken as the GBi method
  • the GBi index number corresponding to the candidate motion information of the control point is set to the GBi index number corresponding to the weight value with the smallest difference value.
  • the GBi index number corresponding to the weight value 1/2 can be defined as K, and the GBi index number of the candidate motion information obtained based on the constructed control point motion vector prediction method can be set as follows.
  • the candidate motion information is the motion information of the adjacent coded blocks A and B, and the GBi index numbers of the adjacent coded blocks A and B are I A and I B , respectively. Then, the GBi index number corresponding to the candidate motion information can be derived based on the values of I A and I B : If one or more than one value in I A and I B is K, the GBi index corresponding to the candidate motion information of the control point The number is set to K; if neither I A nor I B is equal to K, the GBi index number corresponding to the candidate motion information is set to the index number corresponding to the weight value closest to 1/2 among the multiple weight values.
  • the preset value is used as described in the GBi method
  • the weight value with the smallest difference from the preset value among the multiple weight values is taken as In the GBi method, the weight value of the reference frame of the image block to be processed, and the GBi index number corresponding to the candidate motion information of the control point is set to the GBi index number corresponding to the weight value with the smallest difference value.
  • the GBi index number corresponding to the weight value 1/2 can be defined as K, and the GBi index number of the candidate motion information obtained based on the constructed control point motion vector prediction method can be set as follows.
  • the candidate motion information is the motion information of the adjacent coded blocks A and B, and the GBi index numbers of the adjacent coded blocks A and B are I A and I B , respectively. Then, the GBi index number corresponding to the candidate motion information can be derived based on the values of I A and I B : If the average value of the weight values corresponding to I A and I B is 1/2, the GBi index number in the candidate motion information list is set Is K; if the average value of the weight values corresponding to I A and I B is not 1/2, then set the GBi index number corresponding to the candidate motion information to the index number corresponding to the weight value closer to 1/2.
  • the multiple weight values determined by the GBi index numbers of the multiple control points are all different from the preset value, and there is an average value of at least two weight values among the multiple weight values In the case of being equal to the preset value, the preset value is used as the weight value of a certain direction reference frame of the image block to be processed in the GBi method.
  • the GBi index number corresponding to the weight value 1/2 can be defined as K, and the GBi index number of the candidate motion information obtained based on the constructed control point motion vector prediction method can be set as follows.
  • the candidate motion information is obtained from the motion information of adjacent coded blocks A, B, and C.
  • the GBi index numbers of A, B, and C are I A , I B, and I, respectively. C.
  • derive the GBi index number corresponding to the candidate motion information If one or more of I A , I B and I C are K, then the GBi index in the candidate motion information list The number can be set to K; if I A , I B and I C are not equal to K, and the weight values corresponding to I A , I B and I C exist, the average value of at least two weight values is 1/2 (such as I A The average value of the corresponding weight value and the weight value corresponding to I B is equal to 1/2), then set the GBi index number corresponding to the candidate motion information of each control point to K; otherwise, set the GBi corresponding to the candidate motion information of each control point
  • the index number is set to an index number
  • the GBi index number corresponding to the candidate motion information of each control point can be quickly determined, thereby ensuring bidirectional prediction encoding
  • the process proceeds normally, improving coding efficiency and accuracy.
  • the encoding end may use syntax elements to indicate to the decoding end the inter prediction mode of the current block and other related information.
  • a part of the syntax structure commonly used to parse the inter prediction mode adopted by the current block can be exemplarily shown in Table 1. It should be noted that the grammatical elements in the grammatical structure can also be represented by other identifiers, which is not specifically limited in the present invention.
  • ae (v) represents the syntax elements encoded using context-based adaptive binary arithmetic coding (cabac).
  • x0, y0 represent the coordinates of the current block in the video image.
  • merge_subblock_flag [x0] [y0] can be used to indicate whether the sub-block-based merge mode is adopted for the current block.
  • the syntax element merge_idx [x0] [y0] can be used to indicate the index value for the merge candidate list.
  • the syntax element merge_subblock_idx [x0] [y0] can be used to indicate the index value for the sub-block-based merge candidate list.
  • the syntax element inter_affine_flag [x0] [y0] can be used to indicate whether the affine motion model-based AMVP mode is adopted for the current block when the current block is a P-type strip or a B-type strip.
  • the syntax element cu_affine_type_flag [x0] [y0] can be used to indicate whether the 6-parameter affine motion model is used for motion compensation for the current block when the current block is a P-type strip or a B-type strip.
  • MotionModelIdc [x0] [y0] 1, indicating the use of 4-parameter affine motion model
  • MotionModelIdc [x0] [y0] 2
  • MaxNumMergeCand and MaxNumSubblockMergeCand are used to indicate the maximum list length and indicate the maximum length of the constructed candidate motion vector list.
  • inter_pred_idc [x0] [y0] is used to indicate the prediction direction.
  • PRED_L1 is used to indicate backward prediction.
  • num_ref_idx_l0_active_minus1 indicates the number of reference frames in the forward reference frame list
  • ref_idx_l0 [x0] [y0] indicates the forward reference frame index value of the current block.
  • mvd_coding (x0, y0,0,0) indicates the first motion vector difference.
  • mvp_l0_flag [x0] [y0] indicates the forward MVP candidate list index value.
  • PRED_L0 indicates forward prediction.
  • num_ref_idx_l1_active_minus1 indicates the number of reference frames in the backward reference frame list.
  • ref_idx_l1 [x0] [y0] indicates the backward reference frame index value of the current block
  • mvp_l1_flag [x0] [y0] indicates the backward MVP candidate list index value.
  • the method includes but is not limited to the following steps:
  • S601 Parse the code stream to determine the inter prediction mode of the current image block to be processed (or the current decoding block or the current block).
  • the code stream can be parsed based on the syntax structure shown in Table 1 to determine the inter prediction mode of the current block.
  • S602a Construct a candidate motion vector list corresponding to the AMVP mode based on the affine motion model.
  • the inherited control point motion vector prediction method and / or the constructed control point motion vector prediction method are used to derive the candidate control point motion vectors of the current block and add them to the candidate motion vector list corresponding to the AMVP mode.
  • the motion information in the candidate motion information list may include: candidate control point motion vector prediction values and prediction directions. In a possible embodiment, the motion information may also include other information.
  • the candidate motion vector list may include a 2-tuple list (the current coding block is a 4-parameter affine motion model) or a 3-tuple list or a 4-tuple list.
  • the list of duals includes one or more duals for constructing a 4-parameter affine motion model.
  • the triple list includes one or more triples used to construct a 6-parameter affine motion model.
  • the list of quads includes one or more triples used to construct an 8-parameter bilinear model
  • the motion vectors of at least two sub-blocks of the adjacent affine decoding block are used to derive the candidate control point motion of the current block Vector prediction values (candidate motion vector binary / triple / quad) to join the candidate motion vector list.
  • the inherited control point motion vector prediction method please refer to the detailed description in the foregoing 3).
  • the motion vectors of the coded blocks adjacent to the control point of the current block are combined as the current affine coding block Control point motion vector.
  • the affine motion model used in the current block is a 4-parameter affine motion model (that is, MotionModelIdc is 1), and the motion information of the coded blocks adjacent to the current block is used to determine the motion of the upper left vertex and the upper right vertex of the current block Vector.
  • the constructed control point motion vector prediction method 1 or the constructed control point motion vector prediction method 2 may be used to obtain candidate control point motion vectors of the current block, and then added to the candidate motion vector list corresponding to the AMVP mode.
  • the affine motion model adopted by the current block is a 6-parameter affine motion model (that is, MotionModelIdc is 2), and the motion information of adjacent coded blocks around the current block is used to determine the top left vertex, the top right vertex, and the bottom left of the current block Vertex motion vector.
  • the constructed control point motion vector prediction method 1 or the constructed control point motion vector prediction method 2 may be used to obtain candidate control point motion vectors of the current block, and then added to the candidate motion vector list corresponding to the AMVP mode.
  • the candidate motion vector binary / triple / quadruple lists may also be pruned and sorted according to specific rules, and may be truncated or filled to a specific number.
  • S603a Analyze the code stream to determine the optimal motion vector prediction value of the control point.
  • the index number of the candidate motion vector list is obtained by parsing the code stream, and the optimal control point motion vector prediction value (control point motion vectors predictor) is determined from the candidate motion vector list constructed in S602a according to the index number of the candidate motion vector list , CPMVP).
  • the index number of the candidate motion vector list is obtained by parsing.
  • the index number is mvp_l0_flag or mvp_l1_flag. According to the index number
  • the optimal motion vector prediction values of 2 control points are determined from the candidate motion vector list.
  • the affine motion model used in the current block is a 6-parameter affine motion model (MotionModelIdc is 2)
  • the index number of the candidate motion vector list is parsed to obtain 3 controls from the candidate motion vector list according to the index number The optimal motion vector prediction value of the point.
  • S604a Analyze the code stream to determine the motion vector of the control point.
  • control point motion vector difference (CPMVD) is obtained by parsing the code stream, and then based on the control point motion vector difference and the optimal control point motion vector prediction value determined by the above S803a ( CPMVP) to get the motion vector of the control point.
  • the affine motion model used in the current block is a 4-parameter affine motion model (MotionModelIdc is 1).
  • the difference of the motion vectors of the two control points is mvd_coding (x0, y0,0,0) And mvd_coding (x0, y0,0,1).
  • the motion vector difference value of the 2 control points of the current block is decoded from the code stream.
  • the motion vector difference value of the upper left position control point and the upper right position control point can be decoded from the code stream.
  • the difference of the motion vector and the predicted value of the motion vector of each control point are added to obtain the motion vector value of the control point, that is, the motion vector value of the upper left position control point and the upper right position control point of the current block.
  • the affine motion model used in the current block is a 6-parameter affine motion model (MotionModelIdc is 2).
  • the motion vector differences of the three control points are mvd_coding (x0, y0,0,0) And mvd_coding (x0, y0,0,1), mvd_coding (x0, y0,0,2).
  • the motion vector difference of the three control points of the current block is decoded from the code stream.
  • the motion vector difference values of the upper left control point, the upper right control point, and the lower left control point are decoded from the code stream.
  • the difference of the motion vector and the predicted value of the motion vector of each control point are added to obtain the motion vector value of the control point, that is, the motion vector values of the upper left control point, the upper right control point, and the lower left control point of the current block.
  • embodiments of the present invention may also be other affine motion models and other control point positions, which will not be repeated here.
  • S605a Obtain the motion vector value of each sub-block in the current block according to the motion information of the control point and the affine motion model adopted by the current block.
  • the preset position pixels in the motion compensation unit The motion information of the points represents the motion information of all pixels in the motion compensation unit.
  • the pixel point at the preset position may be the center point of the motion compensation unit (M / 2, N / 2), the upper left pixel point (0,0), and the upper right pixel point (M-1,0 ), Or pixels at other locations.
  • the following uses the center point of the motion compensation unit as an example, as shown in FIG. 12. In FIG. 12, V0 represents the motion vector of the upper left control point, and V1 represents the motion vector of the upper right control point.
  • Each small box represents a motion compensation unit.
  • the coordinates of the center point of the motion compensation unit relative to the top left vertex pixel of the current affine decoding block are calculated using the following formula (33), where i is the i-th motion compensation unit in the horizontal direction (from left to right), and j is the j motion compensation units (from top to bottom), (x (i, j) , y (i, j) ) represents the center point of the (i, j) th motion compensation unit relative to the upper left control point of the current affine decoding block The coordinates of the pixel.
  • the affine motion model used in the current affine decoding block is a 6-parameter affine motion model
  • the motion vector of the center point of each motion compensation unit is obtained as the motion vector of all pixels in the motion compensation unit (vx (i, j) , vy (i, j) ).
  • the affine motion model used in the current affine decoding block is a 4-affine motion model
  • the motion vector of the center point of each motion compensation unit serves as the motion vector of all pixels in the motion compensation unit (vx (i, j) , vy (i, j) ).
  • S606a Parse the code stream to obtain the GBi index number and reference frame index of the current block, and obtain the pixel prediction value of each sub-block according to the GBi index number and reference frame index of the current block and the motion vector value of each sub-block.
  • the first reference image frame set and the second reference image frame set (for example, List0 and List1) can be obtained according to the reference frame index.
  • the one-directional reference frame and the second-directional reference frame determine the reference block (predicted block) of the sub-block in the first-directional reference frame and the second-directional reference frame according to the motion vector values of the sub-blocks obtained in S605a; determine the GBi index A set of weight values corresponding to the number, and then performing weighted prediction and motion compensation on the reference block according to the set of weight values to obtain pixel prediction values of sub-blocks of the current block.
  • the detailed implementation process please refer to the detailed description in the previous 11). For the sake of brevity of the description, it will not be repeated here.
  • S602b Construct a candidate list of motion information based on the merge mode of the affine motion model.
  • the inherited control point motion vector prediction method and / or the constructed control point motion vector prediction method can be used to construct a merge mode motion information candidate list based on the affine motion model.
  • the motion information in the candidate motion information list includes: Candidate control point motion vector prediction value (candidate motion vector combination), prediction direction, GBi index number, reference frame index.
  • the motion information may also include other information.
  • the ATMVP method, and / or, the inherited control point motion vector prediction method, and / or, the constructed control point motion vector prediction method, and / or the PLANER method may also be used to construct the sub-block-based Sub-block based candidate list.
  • the ATMVP method, and / or, the inherited control point motion vector prediction method, and / or, the constructed control point motion vector prediction method, and / or the PLANER method may also be used to construct the sub-block-based Sub-block based candidate list.
  • the candidate control point motion information After obtaining the candidate motion vector combinations of control points using the constructed control point motion vector prediction method, if the length of the candidate list at this time is less than the maximum list length MaxAffineNumMrgCand, the combinations are traversed in a preset order to obtain a legal combination
  • the candidate control point motion information if the candidate motion vector list is empty at this time, the candidate control point motion information is added to the candidate motion vector list; otherwise, iterate through the motion information in the candidate motion vector list and check the candidate motion vector list Is there the same motion information in the candidate control point motion information? If the same motion information as the candidate control point motion information does not exist in the candidate motion vector list, the candidate control point motion information is added to the candidate motion vector list.
  • a preset sequence is as follows: Affine (CP1, CP2, CP3)-> Affine (CP1, CP2, CP4)-> Affine (CP1, CP3, CP4)-> Affine (CP2, CP3, CP4)-> Affine (CP2, CP3, CP4) -> Affine (CP1, CP2)-> Affine (CP1, CP3)-> Affine (CP2, CP3)-> Affine (CP1, CP4)-> Affine (CP2, CP4)-> Affine (CP3, CP4), total 10 combinations.
  • the combination is considered unavailable. If the combination is available, determine the reference frame index of the combination (when two control points, select the reference frame index with the smallest reference frame index as the reference frame index of the combination; when greater than two control points, first select the reference frame index with the most occurrences, If there are as many occurrences of multiple reference frame indexes as possible, the smallest reference frame index is selected as the combined reference frame index), and the motion vector of the control point is scaled. If the motion information of all control points after zooming is consistent, the combination is invalid.
  • the motion information of the control point corresponding to the combination is available, determine the GBi index number corresponding to the combination. Since the motion vectors of the control points of the current image block to be processed come from different adjacent decoded blocks, since the GBi index numbers of different adjacent decoded blocks may be different, one or more implementations described above may be used The GBi index numbers of the different adjacent decoded blocks are processed to obtain the GBi index number corresponding to the combination.
  • the candidate motion vector of the control point is obtained through the inherited control point motion vector prediction method, the GBi index number corresponding to the candidate motion vector of each control point comes from the adjacent decoded block. Subsequently, the candidate motion vector of the control point and the corresponding GBi index number may be added to the candidate motion information list.
  • the embodiment of the present invention may also fill the candidate motion vector list. For example, after the above traversal process, when the length of the candidate motion vector list is less than the maximum list length MaxAffineNumMrgCand, the candidate motion vector list may be filled Until the length of the list is equal to MaxAffineNumMrgCand.
  • the motion information candidate list may also be pruned and sorted according to specific rules, and may be truncated or filled to a specific number. For example, padding can be performed by supplementing zero motion vectors, or by combining motion information of candidates already existing in the existing list, and performing weighted averaging. It should be noted that other methods for obtaining the candidate motion vector list filling can also be applied to the present invention, and will not be repeated here.
  • S603b Analyze the code stream to determine the optimal control point motion information.
  • the index number of the candidate motion vector list is obtained by parsing the code stream, and the optimal control point motion information is determined from the candidate motion vector list constructed in S602b according to the index number of the candidate motion vector list.
  • the optimal control point motion information includes the optimal candidate motion vector combination, the prediction direction, the GBi index number, and the reference frame index.
  • the optimal control point motion information may also include other information.
  • S604b Obtain the motion vector value of each sub-block in the current block according to the optimal control point motion information and the affine motion model used in the current decoding block.
  • S605a For the specific implementation process, reference may be made to the description in the foregoing S605a, which will not be repeated here.
  • S605b Obtain the pixel prediction value of each sub-block according to the GBi index number and reference frame index of the current block and the motion vector value of each sub-block.
  • the GBi index number and the reference frame index corresponding to the optimal candidate motion vector combination are obtained through S603b, and the GBi index number can be used as the GBi index number of the current block.
  • the current block can obtain the first direction reference frame and the second direction reference frame from the first reference image frame set and the second reference image frame set (for example, List0 and List1) according to the reference frame index, according to S604b.
  • the obtained motion vector value of the sub-block determines the reference block (prediction block) of the sub-block in the first direction reference frame and the second direction reference frame; determine a set of weight value combinations corresponding to the GBi index number, and then according to the one
  • the group weight value combination performs weighted prediction and motion compensation on the reference block, thereby obtaining pixel prediction values of each sub-block of the current block.
  • the detailed implementation process please refer to the detailed description in the previous 11). For the sake of brevity of the description, it will not be repeated here.
  • the decoding end may use the GBi method in combination with the AMVP mode or merge mode based on the affine motion model to perform bidirectional prediction. If the current block uses the affine motion model and the inter-frame prediction process uses the constructed control point motion vector prediction method, then the GBi index number of the current block can be obtained directly from the code stream (AMVP mode) or according to the adjacent decoded control points The GBi index number of the block is processed. To ensure the smooth progress of the coding process, the GBi index number of the current block can be used for the subsequent decoding process of the block to be decoded, which improves the coding efficiency and prediction accuracy.
  • the method includes but is not limited to the following steps:
  • S701 Determine the inter prediction mode of the current block.
  • multiple inter prediction modes may also be preset, and the multiple intra prediction modes include, for example, the AMVP mode based on the affine motion model described above and Based on the merge mode of the affine motion model, the encoding end traverses the multiple inter prediction modes to determine the optimal inter prediction mode for the prediction of the current block.
  • only one inter prediction mode may be preset, that is, in this case, the encoding end directly determines that the current inter prediction mode is currently used.
  • the inter-frame prediction mode is AMVP mode based on affine motion model or merge mode based on affine motion model.
  • S702a Construct a candidate motion vector list corresponding to the AMVP mode based on the affine motion model.
  • the inherited control point motion vector prediction method and / or the constructed control point motion vector prediction method are used to derive the candidate control point motion vectors of the current block, and add to the candidate motion vector list corresponding to the AMVP mode.
  • the motion information in the candidate motion vector list includes: the candidate control point motion vector prediction value (candidate motion vector combination) and the prediction direction.
  • S703a Determine the optimal motion vector prediction value of the control point according to the rate-distortion cost.
  • the encoding end may use the control point motion vector prediction values in the candidate motion vector list (such as candidate motion vector binary / triple / quad), by formula (3) or (5) or ( 7) Obtain the motion vector of each sub-motion compensation unit in the current block, and then obtain the pixel value of the corresponding position in the reference frame pointed by the motion vector of each sub-motion compensation unit, as its predicted value, perform motion using the affine motion model make up. Calculate the average value of the difference between the original value and the predicted value of each pixel in the current coding block, select the control point motion vector prediction value corresponding to the minimum average value as the optimal control point motion vector prediction value, and use it as the current block Predicted values of motion vectors for 2 or 3 or 4 control points.
  • the candidate motion vector list such as candidate motion vector binary / triple / quad
  • S704a Determine the GBi index number corresponding to the optimal control point motion vector prediction value.
  • the optimal control point motion vector prediction value is obtained using the inherited control point motion vector prediction method, that is, the optimal control point motion vector prediction value is obtained by using adjacent coded affine coding blocks (referred to as The motion model of the adjacent coded block), then the GBi index number of the adjacent coded affine coding block can be used as the GBi index number (ie, as the current The GBi index number of the block).
  • the optimal control point motion vector prediction value (combination) is obtained by using the constructed control point motion vector prediction method, then among the optimal control point motion vector prediction values, different control points
  • the motion vector prediction values come from different adjacent coded blocks. Since the GBi index numbers of different adjacent coded blocks may be different, one or more embodiments described above can be used to The GBi index number of the encoding block is processed to obtain the GBi index number corresponding to the optimal control point motion vector prediction value (that is, the GBi index number of the current block).
  • S705a Index number of the optimal control point motion vector prediction value in the candidate motion vector list, control point motion vector difference (control point motion vectors differences, CPMVD), GBi index number, reference frame index and inter prediction
  • control point motion vector difference control point motion vectors differences, CPMVD
  • GBi index number reference frame index
  • inter prediction The instruction information of the mode is encoded into the code stream.
  • the decoder can use the optimal control point motion vector prediction value as the search starting point to perform motion search within a certain search range to obtain control point motion vectors (CPMV), and calculate the control point motion vectors The difference between the control point motion vector prediction values (control point motion vectors differences (CPMVD)).
  • the encoding end encodes the index number, CPMVD, GBi index number, reference frame index and inter prediction mode indication information of the optimal control point motion vector prediction value in the candidate motion vector list into the code stream for subsequent delivery to decoding end.
  • syntax elements incorporated in the code stream can also refer to the foregoing descriptions in Table 1 and Table 2, which will not be repeated here.
  • S702b Construct a candidate motion vector list corresponding to the Merge mode based on the affine motion model.
  • the inherited control point motion vector prediction method and / or the constructed control point motion vector prediction method can be used to construct a merge mode motion information candidate list based on the affine motion model.
  • the motion information in the candidate motion information list includes: Candidate control point motion vector prediction value (candidate motion vector combination), prediction direction, GBi index number, reference frame index.
  • Candidate control point motion vector prediction value can be used to construct a merge mode motion information candidate list based on the affine motion model.
  • candidate motion information list includes: Candidate control point motion vector prediction value (candidate motion vector combination), prediction direction, GBi index number, reference frame index.
  • the GBi index number corresponding to each candidate control point motion vector prediction value for example, if the candidate control point motion vector prediction value is obtained by using the inherited control point motion vector prediction method, the candidate The prediction value of the motion vector of the control point is obtained by using the motion model of the adjacent coded block, then the GBi index number of the adjacent coded block can be used as the GBi index number corresponding to the candidate control point motion vector prediction value.
  • the candidate control point motion vector prediction value is obtained by using the constructed control point motion vector prediction method, then among the candidate control point motion vector prediction values, the motion vector prediction values of different control points come from For different adjacent coded blocks, since the GBi index numbers of different adjacent coded blocks may be different, the GBi index of the different adjacent coded blocks may be indexed using one or more embodiments described above The number is processed to obtain the GBi index number corresponding to the candidate control point motion vector prediction value.
  • the ATMVP method, and / or, the inherited control point motion vector prediction method, and / or, the constructed control point motion vector prediction method, and / or the PLANER method may also be used to construct the sub-block-based Sub-block based candidate list.
  • the ATMVP method, and / or, the inherited control point motion vector prediction method, and / or, the constructed control point motion vector prediction method, and / or the PLANER method may also be used to construct the sub-block-based Sub-block based candidate list.
  • S703b Determine the optimal control point motion information according to the rate-distortion cost.
  • the encoding end can use the control point motion vectors in the candidate motion vector list (such as candidate motion vector binary / triple / quad), through formula (3) or (5) or (7) Obtain the motion vector of each sub-motion compensation unit in the current coding block, and then obtain the pixel value of the position in the reference frame pointed by the motion vector of each sub-motion compensation unit as its predicted value, and perform affine motion compensation. Calculate the average value of the difference between the original value and the predicted value of each pixel in the current coding block, select the control point motion vector corresponding to the smallest average value of the difference as the optimal control point motion vector, the optimal control The point motion vector is the motion vector of 2 or 3 or 4 control points of the current coding block.
  • each candidate motion information in the fusion candidate list is traversed, if the candidate is ATMVP or PLANA mode, it is obtained according to the method 6) or 7)
  • the motion information of each sub-block; if the candidate is an affine motion mode, then according to the motion vector of each control point, the motion vector of each sub-block in the current block is obtained by formula (3) / (5) / (7), and then obtained
  • the pixel value of the position in the reference frame pointed by the motion vector of each sub-block is used as its prediction value to perform affine motion compensation.
  • the average value of the difference between the original value and the predicted value of each pixel in the current block is calculated, and the candidate corresponding to the smallest average value of the difference is selected as the optimal control point motion information of the current block.
  • S704b Incorporate the index number of the optimal control point motion information in the candidate motion vector list and the indication information of the inter prediction mode into the code stream, so as to facilitate subsequent transmission to the decoding end.
  • syntax elements incorporated in the code stream can also refer to the foregoing descriptions in Table 1 and Table 2, which will not be repeated here.
  • the above embodiments only describe the process of encoding and code stream transmission at the encoding end. According to the foregoing description, those skilled in the art understand that the encoding end may also implement other methods described in the embodiments of the present invention in other links. For example, in the prediction of the current block at the encoding end, the specific implementation of the reconstruction process of the current block may refer to the related method described above at the decoding end (as shown in the embodiment of FIG. 11A), and will not be repeated here.
  • the encoding end may use the GBi method in combination with the AMVP mode or merge mode based on the affine motion model for encoding. If the current block uses the affine motion model and the inter-frame prediction process uses the constructed control point motion vector prediction method, then the GBi index number corresponding to the candidate motion vector information of the current block can be based on the GBi index number of the adjacent encoded block of the control point Get processed. To ensure the smooth progress of the encoding process, the GBi index number of the current block can be used for the subsequent encoding process of the block to be encoded, which improves the encoding efficiency and prediction accuracy.
  • an embodiment of the present invention further provides a device 1000, which includes an acquisition module 1001, a weight determination module 1002, and a prediction module 1003, where:
  • the obtaining module 1001 is used to obtain the GBi index numbers (the Generalization Bi-prediction weight) of multiple control points of the image block to be processed; the GBi index numbers of the multiple control points are derived from different processed image blocks, so The GBi index number is used to determine the weight value of the reference frame of the processed image block in Generalized Bi-prediction;
  • the weight determination module 1002 is configured to determine the weight value corresponding to the reference frame of the image block to be processed in the generalized bidirectional prediction according to the GBi index numbers of the multiple control points;
  • the prediction module 1003 is configured to perform weighted prediction according to the weight value of the reference frame of the image block to be processed to obtain the prediction value of the image block to be processed.
  • the weight determination module 1002 is specifically configured to: determine the GBi index number of the image block to be processed according to the GBi index numbers of the multiple control points; The weight value corresponding to the GBi index number is used as the weight value corresponding to the reference frame of the image block to be processed.
  • the weight determination module 1002 is specifically configured to: when the GBi index numbers of the multiple control points are the same, use the same GBi index number as the image block to be processed GBi index number.
  • the weight determination module 1002 is specifically configured to: when there are different GBi index numbers among the GBi index numbers of the multiple control points, the GBi index number corresponding to the preset value As the GBi index number of the image block to be processed.
  • the weight determination module 1002 is specifically configured to: when the same GBi index number exists in the GBi index numbers of the multiple control points, index the GBi of the multiple control points The GBi index number with the largest number in the number is used as the GBi index number of the image block to be processed.
  • the weight determination module 1002 is specifically configured to: when the GBi index numbers of the multiple control points are different from each other, use the GBi index number corresponding to the preset value as the to-be-processed The GBi index number of the image block.
  • the weight determination module 1002 is specifically configured to: when the weight value corresponding to at least one of the GBi index numbers of the multiple control points is equal to a preset value, set the preset The GBi index number corresponding to the value is used as the GBi index number of the image block to be processed.
  • the weight determination module 1002 is specifically configured to: when multiple weight values corresponding to the GBi index numbers of the multiple control points are different from preset values, The GBi index number corresponding to the weight value with the smallest difference between the preset values among the weight values is used as the GBi index number of the image block to be processed.
  • the weight determination module 1002 is specifically configured to: when the average value of multiple weight values corresponding to the GBi index numbers of the multiple control points is equal to a preset value, The GBi index number corresponding to the set value is used as the GBi index number of the image block to be processed.
  • the weight determination module 1002 is specifically configured to: multiple weight values corresponding to GBi index numbers of the multiple control points are different from the preset value, and the multiple weights When the average value is not equal to the preset value, the GBi index number corresponding to the weight value with the smallest difference between the preset values in the plurality of weight values is used as the GBi of the image block to be processed The index number.
  • the weight determination module 1002 is specifically configured to: multiple weight values corresponding to the GBi index numbers of the multiple control points are different from a preset value, and the multiple weight values In a case where the average value of at least two weight values is equal to the preset value, the GBi index number corresponding to the preset value is used as the GBi index number of the image block to be processed.
  • the preset value in the foregoing embodiment is, for example, 1/2.
  • the image to be processed includes a plurality of sub-blocks: the prediction module 1003 is further configured to: according to the motion vectors of the plurality of control points, obtain the sub-blocks of the image block to be processed Motion vectors; the prediction module 1003 is specifically configured to: obtain at least two motion vectors for each sub-block in the image block to be processed and at least two reference frames corresponding to the at least two motion vectors, respectively At least two motion compensation blocks of each sub-block; weighting the pixel values of the at least two motion compensation blocks according to the weight values respectively corresponding to the at least two reference frames to obtain the prediction value of each sub-block.
  • an embodiment of the present invention further provides a device 2000.
  • the device 2000 includes a weight determination module 2002 and a prediction module 2003, where:
  • the weight determination module 2002 is configured to use the preset GBi index number as the GBi index number of the image block to be processed, wherein the motion vectors of multiple control points of the image block to be processed are respectively based on the motion of the multiple processed image blocks Vector acquisition; use the weight value corresponding to the GBi index number of the image block to be processed as the weight value corresponding to the reference frame of the image block to be processed;
  • the prediction module 2003 is configured to perform weighted prediction according to the weight value to obtain the predicted value of the image block to be processed.
  • the image to be processed includes multiple sub-blocks:
  • the prediction module 2003 is further used to: obtain the motion vector of each sub-block in the image block to be processed according to the motion vectors of the multiple control points; the prediction module 2003 is specifically used to: according to the image to be processed At least two motion vectors of each sub-block in the block and at least two reference frames corresponding to the at least two motion vectors respectively, obtaining at least two motion compensation blocks of each sub-block; according to the at least two reference frames The corresponding weight values respectively weight the pixel values of the at least two motion compensation blocks to obtain the prediction value of each sub-block.
  • the weight value corresponding to the GBi index number of the image block to be processed is, for example, 1/2.
  • the preset GBi index number is 0, for example.
  • Computer readable media may include computer readable storage media, which corresponds to tangible media, such as data storage media, or communication media including any medium that facilitates transfer of a computer program from one place to another (eg, according to a communication protocol).
  • computer-readable media may generally correspond to (1) non-transitory tangible computer-readable storage media, or (2) communication media, such as signals or carrier waves.
  • Data storage media may be any available media that can be accessed by one or more computers or one or more processors to retrieve instructions, code and / or data structures for implementation of the techniques described in this disclosure.
  • the computer program product may include a computer-readable medium.
  • Such computer-readable storage media may include RAM, ROM, EEPROM, CD-ROM, or other optical disk storage devices, magnetic disk storage devices, or other magnetic storage devices, flash memory, or may be used to store instructions or data structures
  • coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technology such as infrared, radio, and microwave are used to transmit instructions from a website, server, or other remote source
  • coaxial cable Wire, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of media.
  • the computer-readable storage media and data storage media do not include connections, carrier waves, signals, or other temporary media, but are actually directed to non-transitory tangible storage media.
  • magnetic disks and optical discs include compact discs (CDs), laser discs, optical discs, digital versatile discs (DVDs), and Blu-ray discs, where magnetic discs typically reproduce data magnetically, while optical discs reproduce optically using lasers data. Combinations of the above should also be included in the scope of computer-readable media.
  • DSPs digital signal processors
  • ASICs application specific integrated circuits
  • FPGAs field programmable logic arrays
  • processor may refer to any of the foregoing structure or any other structure suitable for implementation of the techniques described herein.
  • the functions described in the various illustrative logical blocks, modules, and steps described herein may be provided within dedicated hardware and / or software modules configured for encoding and decoding, or in combination Into the combined codec.
  • the techniques can be fully implemented in one or more circuits or logic elements.
  • the technology of the present invention may be implemented in a variety of devices or equipment, including wireless handsets, integrated circuits (ICs), or a set of ICs (eg, chipsets).
  • ICs integrated circuits
  • a set of ICs eg, chipsets
  • Various components, modules or units are described in the present invention to emphasize the functional aspects of the device for performing the disclosed technology, but do not necessarily need to be implemented by different hardware units.
  • various units may be combined in a codec hardware unit in combination with suitable software and / or firmware, or by interoperating hardware units (including one or more processors as described above) provide.

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  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

Certains modes de réalisation de la présente invention concernent un procédé de prédiction inter-trame orienté mode de prédiction affine et un appareil associé ; le procédé consiste à : acquérir des numéros d'indice de GBi d'une pluralité de points de commande d'un bloc d'image à traiter ; conformément aux numéros d'indice de GBi de la pluralité de points de commande, déterminer une valeur de poids correspondant à une trame de référence du bloc d'image à traiter ; et conformément à la valeur de poids, effectuer une prédiction pondérée de façon à acquérir une valeur de prédiction du bloc d'image à traiter. La mise en œuvre de la solution technique selon la présente invention est avantageuse pour améliorer la précision de prédiction d'informations de mouvement d'un bloc d'image, améliorant ainsi la performance de codage et de décodage.
PCT/CN2019/114142 2018-10-29 2019-10-29 Procédé de prédiction inter-trame orienté mode de prédiction affine et appareil associé WO2020088482A1 (fr)

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