WO2018205780A1 - Procédé d'estimation de mouvement et dispositif électronique - Google Patents

Procédé d'estimation de mouvement et dispositif électronique Download PDF

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Publication number
WO2018205780A1
WO2018205780A1 PCT/CN2018/082156 CN2018082156W WO2018205780A1 WO 2018205780 A1 WO2018205780 A1 WO 2018205780A1 CN 2018082156 W CN2018082156 W CN 2018082156W WO 2018205780 A1 WO2018205780 A1 WO 2018205780A1
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Prior art keywords
pixel sub
motion vector
blocks
error value
block
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PCT/CN2018/082156
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English (en)
Chinese (zh)
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徐超
张文明
陈少杰
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武汉斗鱼网络科技有限公司
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Publication of WO2018205780A1 publication Critical patent/WO2018205780A1/fr

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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
    • H04N19/10—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
    • H04N19/117—Filters, e.g. for pre-processing or post-processing
    • 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
    • H04N19/50—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
    • 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
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/593—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques

Definitions

  • the present application relates to the field of video compression, and in particular, to a method for implementing motion estimation and an electronic device.
  • Video codec is mainly realized by prediction, conversion, and coding.
  • the prediction is further divided into inter prediction and intra prediction.
  • Intra prediction is used to compress spatial correlation
  • inter prediction is used to compress temporal correlation.
  • Intra prediction refers to the definition of some prediction algorithms in the program. For example, 4*4 macroblocks have 9 kinds of prediction algorithms (vertical, horizontal, diagonal, average........), and 16*16 macroblocks have 4 kinds. Predictive algorithm, 8*8 macroblocks have 4 kinds of prediction algorithms.
  • Inter-frame prediction refers to calculating a motion vector of the current block from the reference image by motion estimation algorithm (global acquisition, diamond collection, hexagonal acquisition, etc.) from the image before and after the current slice. .
  • motion estimation algorithm global acquisition, diamond collection, hexagonal acquisition, etc.
  • the pixel point data of one macroblock can be converted into a macroblock prediction mode, such as macroblock type, prediction mode, motion vector, etc., and the size of the space occupied by the pixel data of the macroblock (data Size)
  • a macroblock prediction mode such as macroblock type, prediction mode, motion vector, etc.
  • data Size the size of the space occupied by the pixel data of the macroblock
  • the present invention provides a motion estimation implementation method and an electronic device to solve the current technical problem of how to reduce the amount of video data to improve compression efficiency.
  • the present invention provides a motion estimation implementation method, the method comprising:
  • the video frame is divided into a plurality of 16*16 pixel sub-blocks, and each 16*16 pixel sub-block is processed as follows:
  • the determining uses the first motion vector and the macroblock segmentation of the 16*16 pixel sub-block to perform motion estimation, including:
  • a third motion vector and a third error value of the two 16*8 pixel sub-blocks are calculated.
  • the method further includes:
  • the second preset pixel points of the two 16*8 pixel sub-blocks are actually assigned.
  • the determining uses the first motion vector and the macroblock segmentation of the 16*16 pixel sub-block to perform motion estimation, including:
  • a fourth motion vector and a fourth error value of the two 8*16 pixel sub-blocks are calculated.
  • the method includes:
  • the motion estimation is performed using a minimum fifth motion vector and a macroblock partition corresponding to the minimum fifth error.
  • the method further includes:
  • the determining uses the second motion vector and the macroblock segmentation of the 8*8 pixel sub-block to perform motion estimation, including:
  • a sixth motion vector and a sixth error value of the two 8*4 pixel sub-blocks are calculated.
  • the determining uses the second motion vector and the macroblock segmentation of the 8*8 pixel sub-block to perform motion estimation, including:
  • the method further includes:
  • the 16*16 pixel sub-block is filtered.
  • an electronic device including a processor and a memory:
  • the memory is configured to store a program for performing the method in the above technical solution
  • the processor is configured to execute a program stored in the memory.
  • the present invention has the following beneficial effects or advantages:
  • the invention discloses a motion estimation implementation method and an electronic device, which first divides a video frame into 16*16 pixel sub-blocks, and then performs actual assignment on the first preset pixel points of the 16*16 pixel sub-blocks;
  • the actual assignment value can reduce the 16*16 block division error value, thereby achieving the effect of reducing the code rate.
  • the first motion vector, and the macroblock partitioning of the 16*16 pixel sub-block are used for motion estimation.
  • the invention determines the motion vector required for the specific motion estimation by using the comparison method, and obtains the motion vector according to the actual value, so that when the inter-frame prediction is performed, the data saving time can be reduced and the compression ratio can be improved.
  • 1 is a schematic diagram of implementation of one-way prediction in an embodiment of the present invention
  • FIG. 2 is a schematic diagram of an implementation process of a method for implementing motion estimation according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of an electronic device according to an embodiment of the present invention.
  • the present invention discloses a motion estimation implementation method.
  • Inter-frame prediction is divided into one-way prediction and two-way prediction.
  • the implementation process of one-way prediction is as follows:
  • the input motion vector MV is returned by the motion compensation predictor as prediction data.
  • NAL Network Adaptive Layer
  • the video Before performing intra prediction, you need to judge the current frame or slice type (such as I frame/slice, P frame/slice, B frame/slice). Because the judgment process is more complicated, here is a brief introduction, first of all, the video. The frame is subjected to 1/2 scaling (length and width are reduced by 1/2), the amount of data is reduced, and then intra macro prediction is performed on each macroblock in the video frame to obtain a total value of each pixel block, and the interframe prediction calculation is performed in total. The value of the generation, compare which value is the smallest to determine the frame type. In addition, the interval of each I frame is determined, so it can also be used to determine the frame type, and the B frame can also be used to determine the frame type in the middle of the P frame. ).
  • the current frame or slice type such as I frame/slice, P frame/slice, B frame/slice.
  • Bi-directional prediction is not only the use of the previous frame of pixel prediction, but also the use of the next frame of pixels, that is, the predicted value ⁇ t-1 and ⁇ t+1 are prediction weights, ij is the motion vector of the previous frame, and i', j' are the prediction vectors of the next frame.
  • the present invention mainly provides a motion estimation implementation method for determining motion vectors for motion estimation to reduce the code rate and improve the compression ratio.
  • the method of the present invention mainly processes video streams, such as XX live video streams, or ordinary video streams, and the like.
  • the method of the present invention comprises:
  • the present invention divides the video frame into a plurality of 16*16 pixel sub-blocks, and performs the following processing for each 16*16 pixel sub-block:
  • Step 21 Perform actual assignment on the first preset pixel of the 16*16 pixel sub-block.
  • any pixel of the 16*16 pixel sub-block can be taken as the first preset pixel.
  • the present application takes the upper left corner, the upper right corner, the lower left corner, and the right of the 16*16 pixel sub-block.
  • the lower corner pixel is used as the first preset pixel point, and a total of four first preset pixel points are actually assigned, and are assigned to the reference frame by using a total of four first presets in the upper left corner, the upper right corner, the lower left corner, and the lower right corner.
  • Assigning pixels to the reference frame reduces the 16*16 block segmentation error value, thereby increasing the likelihood of 16*16 segmentation.
  • the 16*16 block segmentation error value can be reduced by the above method, thereby achieving the reduced code. The effect of the rate.
  • the method further includes:
  • the 16*16 pixel sub-block is filtered.
  • strong filtering is performed, so there is no significant influence on the video quality.
  • the present invention is not limited to the filtering method.
  • Step 22 Calculate a first motion vector and a first error value of the 16*16 pixel sub-block.
  • the first motion vector and the first error value of the 16*16 pixel sub-block may be calculated by a motion estimation fast search algorithm.
  • Motion vectors and error values occur multiple times in this application. Therefore, the present application first introduces a motion vector.
  • a motion vector For example, in a continuous video frame, the similarity between the previous frame and the subsequent frame is generally higher.
  • the photo is that each similarity is relatively high, nothing more than an arm, the mouth has a difference in amplitude. The arm moves up or down, the mouth is closed, etc., so we can encode the previous frame during video encoding.
  • the video frame is used as the reference frame, and the latter frame is the current required coded frame.
  • the motion amplitude mentioned above is the motion vector, which is a relative value. Since the video is 2D, the motion vector is also 2D.
  • the motion vector refers to the motion vector of the macroblock.
  • the error value can be understood as the smaller the similarity value, the greater the similarity.
  • the SAD calculation is performed on two video frames. This is the similarity of video frames, usually in When encoding, the encoding is performed in units of macroblocks.
  • the current macroblock (the current encoded macroblock of the current encoded frame) and the reference macroblock (the macroblock with a higher similarity to the current macroblock in the reference frame) have an error value. .
  • Motion search can be divided into two basic types: (1) global search algorithm. (2) Fast search algorithm.
  • Diamond Search Algorithm Searching with a small diamond template (template radius of 1) centered on the search starting point. The matching error of each point is calculated to obtain an MBD (minimum error) point. If the MBD point is at the center of the template, the search ends. The MBD point at this time is the optimal matching point, and the corresponding pixel block is the best matching block; if the MBD point is not at the center of the template, the current MBD point is the center point, and continues. Perform a small diamond search until the MBD point falls to the center point.
  • MBD minimum error
  • Hexagon Search Algorithm This method uses 1 large template (hexagon template) and 2 small templates (small diamond template and small square template).
  • the specific search steps are as follows: Step 1: Centering on the search starting point, use the hexagonal template on the left side of the figure to search. Calculate the matching error at the center of the area and the surrounding points at 6 points. If the minimum MBD point is at the template center point, go to step 2. Otherwise, the previous MBD point is used as the center point, and the hexagonal template is used as a template for repeated searches. . Step 2: The previous MBD point is the center point, and a small diamond template search is used to calculate the matching error of each point to find the MBD point. Then, with the MBD point as the center point, the small square template is used to search, and the obtained MBD point is the optimal matching point.
  • Asymmetric cross-type multi-level hexagonal lattice search algorithm (UMH): Step 1: Perform a small diamond search based on the matching error value and two threshold values (for a macroblock of one size, it is a fixed size The relationship between threshold1 and threshold2) is processed accordingly. It is possible to use a medium diamond template or a regular octagon template, or it is possible to jump directly to step 2.
  • Step 2 Search using an asymmetric cross template. The reason for "asymmetry" is that the general horizontal motion is more intense than the vertical motion, so the horizontal search range is set to W, and the vertical search range is set to W/2.
  • Step 3 Use the 5x5 step-by-step search template search.
  • Step 4 Search using a large hexagon template.
  • Step 5 Find the optimal matching point using the hexagon search algorithm.
  • ESA Continuous elimination method
  • step 23 the 16*16 pixel sub-block is divided into four 8*8 pixel sub-blocks.
  • Step 24 Calculate a second motion vector and a second error value of the four 8*8 pixel sub-blocks.
  • the calculation is also performed using the search algorithm described above.
  • Step 25 comparing the first motion vector and the second motion vector
  • Step 26 if the first error value is smaller than the second error value, determining to select the first motion vector and the macroblock segmentation of the 16*16 pixel sub-block for motion estimation.
  • the present invention divides a 16*16 pixel sub-block into four 8*8 pixel sub-blocks, four second motion vectors and four second error values are also obtained.
  • the first error value and the fourth second error value are used for comparison.
  • the macroblock partitioning of the 16*16 pixel sub-block performs motion estimation, and since the present invention has been previously assigned, the error value can be reduced when calculating the motion vector, thereby reducing the code rate and increasing the compression ratio.
  • the present invention has two modes:
  • the first type dividing the 16*16 pixel sub-block into two 16*8 pixel sub-blocks; calculating a third motion vector and a third error value of the two 16*8 pixel sub-blocks by using a motion search algorithm.
  • the second of the two 16*8 pixel sub-blocks may be calculated before calculating the third motion vector and the third error value of the two 16*8 pixel sub-blocks.
  • the preset pixel is actually assigned and then calculated.
  • the second preset pixel point may be a total of 4 pixel points of the upper left corner, the lower left corner, the upper right corner, and the lower right corner of the 16*8 pixel sub-block.
  • the third preset pixel point of the two 8*16 pixel sub-blocks can be actually assigned, the third preset pixel point can be determined randomly, for example, it can be the upper left corner of the 8*16 pixel sub-block. A total of 4 pixels in the lower left corner, upper right corner, and lower right corner. Of course, it can also be other, and the present invention will not be described again.
  • the above is a process in which the first error value is smaller than the second error value, and if the first error value is greater than the second error value, the following embodiment is performed.
  • the method includes:
  • Determining a fifth motion vector and a fifth error value of the 16 4*4 pixel sub-blocks specifically, since the 16*16 pixel sub-block is divided into 16 4*4 pixel sub-blocks, the determined There are also six fifth motion vectors, and then each fifth motion vector is compared to a minimum second error value.
  • the motion estimation is performed using a minimum fifth motion vector and a macroblock partition corresponding to the minimum fifth error.
  • the above search algorithm can also be used for calculation.
  • determining to select the second motion vector and the macroblock partitioning of the 8*8 pixel sub-block for motion estimation if motion estimation is performed on macroblock partitioning of 8*8 pixel sub-blocks, macroblocks of 8*8 pixel sub-blocks are also first partitioned. There are two ways to divide: the first way: divide the 8*8 pixel sub-block into two 8*4 pixel sub-blocks. The second way: dividing the 8*8 pixel sub-block into two 4*8 pixel sub-blocks.
  • the first manner dividing the 8*8 pixel sub-block into two 8*4 pixel sub-blocks; calculating a sixth motion vector and a sixth error value of the two 8*4 pixel sub-blocks.
  • the second way is: dividing the 8*8 pixel sub-block into two 4*8 pixel sub-blocks; calculating a seventh motion vector and a seventh error value of the two 4*8 pixel sub-blocks.
  • the present invention discloses an electronic device, and the electronic device involved in the present application includes but is not limited to: a mobile terminal (mobile phone, smart phone, PAD, notebook computer, etc.), a fixed terminal (computer ).
  • a mobile terminal mobile phone, smart phone, PAD, notebook computer, etc.
  • a fixed terminal computer
  • the electronic device includes a processor 31 and a memory 32:
  • the memory 32 is configured to store a program for executing the method in the above embodiment
  • the processor 31 is configured to execute a program stored in the memory.
  • the mobile communication terminal can be any mobile terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), and the like. As shown in FIG. 3, the mobile terminal includes a memory 32 and a processor 31.
  • the memory 32 can be used to store software programs and modules, and the processor 31 executes various software applications and data processing of the mobile terminal by executing software programs and modules stored in the memory 32.
  • the memory 32 may mainly include a storage program area and a storage data area, wherein the storage program area may store an application required by the operating system, at least one function (such as a sound playing function, an image playing function, etc.) (such as a game application, music).
  • the application data area, etc.; the storage data area can store data (such as audio data, phone book, etc.) created according to the use of the mobile phone.
  • the processor 31 moves the control center of the communication terminal, connects the various portions of the entire mobile communication terminal using various interfaces and lines, operates or executes software programs and/or modules stored in the memory 32, and calls stored in the memory 32. Data, performing various functions and processing data of the mobile terminal, thereby performing overall monitoring of the mobile terminal.
  • processor 31 may include one or more processing units.
  • the present invention has the following advantages or advantages:
  • the invention discloses a motion estimation implementation method and an electronic device, which first divides a video frame into 16*16 pixel sub-blocks, and then performs actual assignment on the first preset pixel points of the 16*16 pixel sub-blocks;
  • the actual assignment value can reduce the 16*16 block division error value, thereby achieving the effect of reducing the code rate.
  • the first motion vector, and the macroblock partitioning of the 16*16 pixel sub-block are used for motion estimation.
  • the invention determines the motion vector required for the specific motion estimation by using the comparison method, and obtains the motion vector according to the actual value, so that when the inter-frame prediction is performed, the data saving time can be reduced and the compression ratio can be improved.
  • embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

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  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

La présente invention concerne un procédé d'estimation de mouvement et un dispositif électronique. Le procédé consiste à : segmenter une trame vidéo en sous-blocs de 16 * 16 pixels ; effectuer une attribution réelle sur un premier point pixel prédéfini des sous-blocs de 16 * 16 pixels, en raison de l'attribution réelle, la valeur d'erreur de segmentation des blocs de 16 * 16 pouvant être réduite pour réduire le débit binaire ; calculer un premier vecteur de mouvement et une première valeur d'erreur des sous-blocs de 16 * 16 pixels ; segmenter les sous-blocs de 16 * 16 pixels en quatre sous-blocs de 8 * 8 pixels, et calculer un deuxième vecteur de mouvement et une deuxième valeur d'erreur ; comparer le premier vecteur de mouvement au deuxième vecteur de mouvement ; et si la première valeur d'erreur est inférieure à la deuxième valeur d'erreur, utiliser le premier vecteur de mouvement et la segmentation en macroblocs des sous-blocs de 16 * 16 pixels pour effectuer une estimation de mouvement. La présente invention détermine le vecteur de mouvement requis grâce à une estimation de mouvement spécifique par comparaison ; et le vecteur de mouvement est obtenu en fonction de l'attribution réelle. Par conséquent, lorsqu'une prédiction inter-trames est réalisée, la quantité de données peut être réduite ; le temps est économisé ; et le taux de compression peut être amélioré.
PCT/CN2018/082156 2017-05-12 2018-04-08 Procédé d'estimation de mouvement et dispositif électronique WO2018205780A1 (fr)

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