US20200404285A1 - Update of look up table: fifo, constrained fifo - Google Patents

Update of look up table: fifo, constrained fifo Download PDF

Info

Publication number
US20200404285A1
US20200404285A1 US17/011,058 US202017011058A US2020404285A1 US 20200404285 A1 US20200404285 A1 US 20200404285A1 US 202017011058 A US202017011058 A US 202017011058A US 2020404285 A1 US2020404285 A1 US 2020404285A1
Authority
US
United States
Prior art keywords
motion
candidates
candidate
motion information
block
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US17/011,058
Other languages
English (en)
Inventor
Li Zhang
Kai Zhang
Hongbin Liu
Yue Wang
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing ByteDance Network Technology Co Ltd
ByteDance Inc
Original Assignee
Beijing ByteDance Network Technology Co Ltd
ByteDance Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing ByteDance Network Technology Co Ltd, ByteDance Inc filed Critical Beijing ByteDance Network Technology Co Ltd
Assigned to BYTEDANCE INC. reassignment BYTEDANCE INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ZHANG, KAI, ZHANG, LI
Assigned to BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD. reassignment BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: LIU, HONGBIN, WANG, YUE
Publication of US20200404285A1 publication Critical patent/US20200404285A1/en
Priority to US17/457,868 priority Critical patent/US11877002B2/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • 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
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/157—Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter
    • H04N19/159—Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
    • 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
    • H04N19/517—Processing of motion vectors by encoding
    • H04N19/52—Processing of motion vectors by encoding by predictive encoding
    • 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
    • H04N19/557—Motion estimation characterised by stopping computation or iteration based on certain criteria, e.g. error magnitude being too large or early exit
    • 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
    • H04N19/119—Adaptive subdivision aspects, e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
    • 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
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/136—Incoming video signal characteristics or properties
    • H04N19/137—Motion inside a coding unit, e.g. average field, frame or block difference
    • 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
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/157—Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter
    • 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
    • H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
    • H04N19/423—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation characterised by memory arrangements
    • 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
    • H04N19/44—Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder
    • 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
    • H04N19/56—Motion estimation with initialisation of the vector search, e.g. estimating a good candidate to initiate a search
    • 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
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • 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
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/61—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
    • 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
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/625—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]
    • 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
    • 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
    • H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
    • H04N19/96—Tree coding, e.g. quad-tree coding

Definitions

  • This patent document relates to video coding and decoding techniques, devices and systems.
  • a video encoder device that implements a video encoding method described herein is disclosed.
  • the various techniques described herein may be embodied as a computer program product stored on a non-transitory computer readable media.
  • the computer program product includes program code for carrying out the methods described herein.
  • a video decoder apparatus may implement a method as described herein.
  • FIG. 1 is a block diagram showing an example of a video encoder implementation
  • FIG. 2 illustrates macroblock partitioning in the H.264 video coding standard.
  • FIG. 3 illustrates an example of splitting coding blocks (CB) into prediction blocks (PU).
  • FIG. 4 illustrates an example implementation for subdivision of a CTB into CBs and transform block (TBs).
  • Solid lines indicate CB boundaries and dotted lines indicate TB boundaries, including an example CTB with its partitioning, and a corresponding quadtree.
  • FIG. 5 shows an example of a Quad Tree Binary Tree (QTBT) structure for partitioning video data.
  • QTBT Quad Tree Binary Tree
  • FIG. 7 shows an example of quad-tree partitioning.
  • FIG. 8 shows an example of tree-type signaling.
  • FIG. 9 shows an example of a derivation process for merge candidate list construction.
  • FIG. 10 shows example positions of spatial merge candidates.
  • FIG. 11 shows examples of candidate pairs considered for redundancy check of spatial merge candidates.
  • FIG. 12 shows examples of positions for the second PU of N ⁇ 2N and 2N ⁇ N partitions.
  • FIG. 13 illustrates motion vector scaling for temporal merge candidates.
  • FIG. 14 shows candidate positions for temporal merge candidates, and their co-located picture.
  • FIG. 15 shows an example of a combined bi-predictive merge candidate.
  • FIG. 16 shows an example of a derivation process for motion vector prediction candidates.
  • FIG. 17 shows an example of motion vector scaling for spatial motion vector candidates.
  • FIG. 18 shows an example Alternative Temporal Motion Vector Prediction (ATMVP) for motion prediction of a CU.
  • ATMVP Alternative Temporal Motion Vector Prediction
  • FIG. 19 pictorially depicts an example of identification of a source block and a source picture.
  • FIG. 20 shows an example of one CU with four sub-blocks and neighboring blocks.
  • FIG. 21 illustrates an example of bilateral matching.
  • FIG. 22 illustrates an example of template matching.
  • FIG. 23 depicts an example of unilateral Motion Estimation (ME) in Frame Rate Up Conversion (FRUC).
  • ME Motion Estimation
  • FRUC Frame Rate Up Conversion
  • FIG. 24 shows an example of DMVR based on bilateral template matching.
  • FIG. 25 shows an example of spatially neighboring blocks used to derive spatial merge candidates.
  • FIG. 26 depicts an example how selection of a representative position for look-up table updates.
  • FIGS. 27A and 27B illustrate examples of updating look up table with new set of motion information.
  • FIG. 28 is a block diagram of an example of a hardware platform for implementing a visual media decoding or a visual media encoding technique described in the present document.
  • FIG. 29 is a flowchart for an example method of video bitstream processing.
  • FIG. 30 is a flowchart for another example method of video bitstream processing.
  • FIG. 31 shows an example of a decoding flow chart with the proposed HMVP method.
  • FIG. 32 shows examples of updating tables using the proposed HMVP method.
  • FIGS. 33A and 33B show examples of a redundancy-removal based LUT updating method (with one redundancy motion candidate removed).
  • FIGS. 34A and 34B show examples of a redundancy-removal based LUT updating method (with multiple redundancy motion candidates removed).
  • the present document is related to video coding technologies. Specifically, it is related to motion information coding (such as merge mode, AMVP mode) in video coding. It may be applied to the existing video coding standard like HEVC, or the standard (Versatile Video Coding) to be finalized. It may be also applicable to future video coding standards or video codec.
  • motion information coding such as merge mode, AMVP mode
  • Video coding standards have evolved primarily through the development of the well-known ITU-T and ISO/IEC standards.
  • the ITU-T produced H.261 and H.263, ISO/IEC produced MPEG-1 and MPEG-4 Visual, and the two organizations jointly produced the H.262/MPEG-2 Video and H.264/MPEG-4 Advanced Video Coding (AVC) and H.265/HEVC standards.
  • AVC H.264/MPEG-4 Advanced Video Coding
  • H.265/HEVC High Efficiency Video Coding
  • the video coding standards are based on the hybrid video coding structure wherein temporal prediction plus transform coding are utilized.
  • An example of a typical HEVC encoder framework is depicted in FIG. 1 .
  • the core of the coding layer in previous standards was the macroblock, containing a 16 ⁇ 16 block of luma samples and, in the usual case of 4:2:0 color sampling, two corresponding 8 ⁇ 8 blocks of chroma samples.
  • An intra-coded block uses spatial prediction to exploit spatial correlation among pixels.
  • Two partitions are defined: 16 ⁇ 16 and 4 ⁇ 4.
  • An inter-coded block uses temporal prediction, instead of spatial prediction, by estimating motion among pictures.
  • Motion can be estimated independently for either 16 ⁇ 16 macroblock or any of its sub-macroblock partitions: 16 ⁇ 8, 8 ⁇ 16, 8 ⁇ 8, 8 ⁇ 4, 4 ⁇ 8, 4 ⁇ 4 (see FIG. 2 ). Only one motion vector (MV) per sub-macroblock partition is allowed.
  • a CTU is split into CUs by using a quadtree structure denoted as coding tree to adapt to various local characteristics.
  • the decision whether to code a picture area using inter-picture (temporal) or intra-picture (spatial) prediction is made at the CU level.
  • Each CU can be further split into one, two or four PUs according to the PU splitting type. Inside one PU, the same prediction process is applied and the relevant information is transmitted to the decoder on a PU basis.
  • a CU can be partitioned into transform units (TUs) according to another quadtree structure similar to the coding tree for the CU.
  • TUs transform units
  • Coding tree units and coding tree block (CTB) structure The analogous structure in HEVC is the coding tree unit (CTU), which has a size selected by the encoder and can be larger than a traditional macroblock.
  • the CTU consists of a luma CTB and the corresponding chroma CTBs and syntax elements.
  • HEVC then supports a partitioning of the CTBs into smaller blocks using a tree structure and quadtree-like signaling.
  • Coding units and coding blocks (CBs):
  • the quadtree syntax of the CTU specifies the size and positions of its luma and chroma CBs. The root of the quadtree is associated with the CTU. Hence, the size of the luma CTB is the largest supported size for a luma CB.
  • the splitting of a CTU into luma and chroma CBs is signaled jointly.
  • a CTB may contain only one CU or may be split to form multiple CUs, and each CU has an associated partitioning into prediction units (PUs) and a tree of transform units (TUs).
  • PUs prediction units
  • TUs tree of transform units
  • PBs Prediction units and prediction blocks
  • the decision whether to code a picture area using inter picture or intra picture prediction is made at the CU level.
  • a PU partitioning structure has its root at the CU level.
  • the luma and chroma CBs can then be further split in size and predicted from luma and chroma prediction blocks (PBs).
  • HEVC supports variable PB sizes from 64 ⁇ 64 down to 4 ⁇ 4 samples.
  • FIG. 3 shows examples of allowed PBs for a MxM CU.
  • the prediction residual is coded using block transforms.
  • a TU tree structure has its root at the CU level.
  • the luma CB residual may be identical to the luma transform block (TB) or may be further split into smaller luma TBs. The same applies to the chroma TBs.
  • Integer basis functions similar to those of a discrete cosine transform (DCT) are defined for the square TB sizes 4 ⁇ 4, 8 ⁇ 8, 16 ⁇ 16, and 32 ⁇ 32.
  • DCT discrete cosine transform
  • an integer transform derived from a form of discrete sine transform (DST) is alternatively specified.
  • FIG. 4 shows an example of a subdivision of a CTB into CBs [and transform block (TBs)]. Solid lines indicate CB borders and dotted lines indicate TB borders. (a) CTB with its partitioning. (b) corresponding quadtree.
  • a CB can be recursively partitioned into transform blocks (TBs).
  • the partitioning is signaled by a residual quadtree. Only square CB and TB partitioning is specified, where a block can be recursively split into quadrants, as illustrated in FIG. 4 .
  • a flag signals whether it is split into four blocks of size M/2 ⁇ M/2. If further splitting is possible, as signaled by a maximum depth of the residual quadtree indicated in the SPS, each quadrant is assigned a flag that indicates whether it is split into four quadrants.
  • the leaf node blocks resulting from the residual quadtree are the transform blocks that are further processed by transform coding.
  • the encoder indicates the maximum and minimum luma TB sizes that it will use. Splitting is implicit when the CB size is larger than the maximum TB size. Not splitting is implicit when splitting would result in a luma TB size smaller than the indicated minimum.
  • the chroma TB size is half the luma TB size in each dimension, except when the luma TB size is 4 ⁇ 4, in which case a single 4 ⁇ 4 chroma TB is used for the region covered by four 4 ⁇ 4 luma TBs.
  • intra-picture-predicted CUs the decoded samples of the nearest-neighboring TBs (within or outside the CB) are used as reference data for intra picture prediction.
  • the HEVC design allows a TB to span across multiple PBs for inter-picture predicted CUs to maximize the potential coding efficiency benefits of the quadtree-structured TB partitioning.
  • a CTB is divided according to a quad-tree structure, the nodes of which are coding units.
  • the plurality of nodes in a quad-tree structure includes leaf nodes and non-leaf nodes.
  • the leaf nodes have no child nodes in the tree structure (i.e., the leaf nodes are not further split).
  • The, non-leaf nodes include a root node of the tree structure.
  • the root node corresponds to an initial video block of the video data (e.g., a CTB).
  • the respective non-root node corresponds to a video block that is a sub-block of a video block corresponding to a parent node in the tree structure of the respective non-root node.
  • Each respective non-leaf node of the plurality of non-leaf nodes has one or more child nodes in the tree structure.
  • JVET Joint Video Exploration Team
  • the QTBT structure removes the concepts of multiple partition types, i.e. it removes the separation of the CU, PU and TU concepts, and supports more flexibility for CU partition shapes.
  • a CU can have either a square or rectangular shape.
  • a coding tree unit (CTU) is first partitioned by a quadtree structure.
  • the quadtree leaf nodes are further partitioned by a binary tree structure.
  • the binary tree leaf nodes are called coding units (CUs), and that segmentation is used for prediction and transform processing without any further partitioning.
  • a CU sometimes consists of coding blocks (CBs) of different colour components, e.g. one CU contains one luma CB and two chroma CBs in the case of P and B slices of the 4:2:0 chroma format and sometimes consists of a CB of a single component, e.g., one CU contains only one luma CB or just two chroma CBs in the case of I slices.
  • CBs coding blocks
  • the CTU size is set as 128 ⁇ 128 luma samples with two corresponding 64 ⁇ 64 blocks of chroma samples
  • the MinQTSize is set as 16 ⁇ 16
  • the MaxBTSize is set as 64 ⁇ 64
  • the MinBTSize (for both width and height) is set as 4 ⁇ 4
  • the MaxBTDepth is set as 4.
  • the quadtree partitioning is applied to the CTU first to generate quadtree leaf nodes.
  • the quadtree leaf nodes may have a size from 16 ⁇ 16 (i.e., the MinQTSize) to 128 ⁇ 128 (i.e., the CTU size).
  • the quadtree leaf node is also the root node for the binary tree and it has the binary tree depth as 0.
  • MaxBTDepth i.e., 4
  • no further splitting is considered.
  • MinBTSize i.e. 4
  • no further horizontal splitting is considered.
  • the binary tree node has height equal to MinBTSize
  • no further vertical splitting is considered.
  • the leaf nodes of the binary tree are further processed by prediction and transform processing without any further partitioning. In the JEM, the maximum CTU size is 256 ⁇ 256 luma samples.
  • FIG. 5 illustrates an example of block partitioning by using QTBT
  • FIG. 5 illustrates the corresponding tree representation.
  • the solid lines indicate quadtree splitting and dotted lines indicate binary tree splitting.
  • each splitting (i.e., non-leaf) node of the binary tree one flag is signalled to indicate which splitting type (i.e., horizontal or vertical) is used, where 0 indicates horizontal splitting and 1 indicates vertical splitting.
  • the quadtree splitting there is no need to indicate the splitting type since quadtree splitting always splits a block both horizontally and vertically to produce 4 sub-blocks with an equal size.
  • the QTBT scheme supports the ability for the luma and chroma to have a separate QTBT structure.
  • the luma and chroma CTBs in one CTU share the same QTBT structure.
  • the luma CTB is partitioned into CUs by a QTBT structure
  • the chroma CTBs are partitioned into chroma CUs by another QTBT structure. This means that a CU in an I slice consists of a coding block of the luma component or coding blocks of two chroma components, and a CU in a P or B slice consists of coding blocks of all three colour components.
  • inter prediction for small blocks is restricted to reduce the memory access of motion compensation, such that bi-prediction is not supported for 4 ⁇ 8 and 8 ⁇ 4 blocks, and inter prediction is not supported for 4 ⁇ 4 blocks.
  • these restrictions are removed.
  • TT ternary tree
  • FIG. 6 shows: (a) quad-tree partitioning (b) vertical binary-tree partitioning (c) horizontal binary-tree partitioning (d) vertical center-side ternary-tree partitioning (e) horizontal center-side ternary-tree partitioning.
  • a CTU is firstly partitioned by region tree (RT).
  • a RT leaf may be further split with prediction tree (PT).
  • PT prediction tree
  • a PT leaf may also be further split with PT until max PT depth is reached.
  • a PT leaf is the basic coding unit. It is still called CU for convenience.
  • a CU cannot be further split.
  • Prediction and transform are both applied on CU in the same way as JEM.
  • the whole partition structure is named ‘multiple-type-tree’.
  • Multi-Tree Type is a generalization of the QTBT.
  • a Coding Tree Unit (CTU) is firstly partitioned by a quad-tree structure.
  • the quad-tree leaf nodes are further partitioned by a binary-tree structure.
  • the fundamental structure of MTT constitutes of two types of tree nodes: Region Tree (RT) and Prediction Tree (PT), supporting nine types of partitions, as shown in FIG. 7 .
  • RT Region Tree
  • PT Prediction Tree
  • FIG. 7 shows: (a) quad-tree partitioning (b) vertical binary-tree partitioning (c) horizontal binary-tree partitioning (d) vertical ternary-tree partitioning (e) horizontal ternary-tree partitioning (f) horizontal-up asymmetric binary-tree partitioning (g) horizontal-down asymmetric binary-tree partitioning (h) vertical-left asymmetric binary-tree partitioning (i) vertical-right asymmetric binary-tree partitioning.
  • a region tree can recursively split a CTU into square blocks down to a 4 ⁇ 4 size region tree leaf node.
  • a prediction tree can be formed from one of three tree types: Binary Tree (BT), Ternary Tree (TT), and Asymmetric Binary Tree (ABT).
  • BT Binary Tree
  • TT Ternary Tree
  • ABT Asymmetric Binary Tree
  • JEM JEM
  • the luma tree and the chroma tree are separated in I slices.
  • the signaling methods for RT and PT are illustrated in FIG. 8 .
  • Each inter-predicted PU has motion parameters for one or two reference picture lists.
  • Motion parameters include a motion vector and a reference picture index. Usage of one of the two reference picture lists may also be signalled using inter_pred_idc.
  • Motion vectors may be explicitly coded as deltas relative to predictors, such a coding mode is called AMVP mode.
  • a merge mode is specified whereby the motion parameters for the current PU are obtained from neighbouring PUs, including spatial and temporal candidates.
  • the merge mode can be applied to any inter-predicted PU, not only for skip mode.
  • the alternative to merge mode is the explicit transmission of motion parameters, where motion vector, corresponding reference picture index for each reference picture list and reference picture list usage are signalled explicitly per each PU.
  • the PU When signalling indicates that one of the two reference picture lists is to be used, the PU is produced from one block of samples. This is referred to as ‘uni-prediction’. Uni-prediction is available both for P-slices and B-slices.
  • Bi-prediction When signalling indicates that both of the reference picture lists are to be used, the PU is produced from two blocks of samples. This is referred to as ‘bi-prediction’. Bi-prediction is available for B-slices only.
  • a maximum of four merge candidates are selected among candidates that are located in five different positions.
  • a maximum of one merge candidate is selected among two candidates. Since constant number of candidates for each PU is assumed at decoder, additional candidates are generated when the number of candidates does not reach to maximum number of merge candidate (MaxNumMergeCand) which is signalled in slice header. Since the number of candidates is constant, index of best merge candidate is encoded using truncated unary binarization (TU). If the size of CU is equal to 8, all the PUs of the current CU share a single merge candidate list, which is identical to the merge candidate list of the 2N ⁇ 2N prediction unit.
  • TU truncated unary binarization
  • a maximum of four merge candidates are selected among candidates located in the positions depicted in FIG. 10 .
  • the order of derivation is A 1 , B 1 , B 0 , A 0 and B 2 .
  • Position B 2 is considered only when any PU of position A 1 , B 1 , B 0 , A 0 is not available (e.g. because it belongs to another slice or tile) or is intra coded.
  • candidate at position A 1 is added, the addition of the remaining candidates is subject to a redundancy check which ensures that candidates with same motion information are excluded from the list so that coding efficiency is improved.
  • a redundancy check which ensures that candidates with same motion information are excluded from the list so that coding efficiency is improved.
  • not all possible candidate pairs are considered in the mentioned redundancy check. Instead only the pairs linked with an arrow in FIG.
  • FIG. 12 depicts the second PU for the case of N ⁇ 2N and 2N ⁇ N, respectively.
  • candidate at position A 1 is not considered for list construction. In fact, by adding this candidate will lead to two prediction units having the same motion information, which is redundant to just have one PU in a coding unit.
  • position B 1 is not considered when the current PU is partitioned as 2N ⁇ N.
  • a scaled motion vector is derived based on co-located PU belonging to the picture which has the smallest POC difference with current picture within the given reference picture list.
  • the reference picture list to be used for derivation of the co-located PU is explicitly signalled in the slice header.
  • the scaled motion vector for temporal merge candidate is obtained as illustrated by the dashed line in FIG.
  • tb is defined to be the POC difference between the reference picture of the current picture and the current picture
  • td is defined to be the POC difference between the reference picture of the co-located picture and the co-located picture.
  • the reference picture index of temporal merge candidate is set equal to zero.
  • a practical realization of the scaling process is described in the HEVC specification [1]. For a B-slice, two motion vectors, one is for reference picture list 0 and the other is for reference picture list 1, are obtained and combined to make the bi-predictive merge candidate. Illustration of motion vector scaling for temporal merge candidate.
  • the position for the temporal candidate is selected between candidates C 0 and C 1 , as depicted in FIG. 14 . If PU at position C 0 is not available, is intra coded, or is outside of the current CTU, position C 1 is used. Otherwise, position C 0 is used in the derivation of the temporal merge candidate.
  • merge candidates there are two additional types of merge candidates: combined bi-predictive merge candidate and zero merge candidate.
  • Combined bi-predictive merge candidates are generated by utilizing spatio-temporal merge candidates.
  • Combined bi-predictive merge candidate is used for B-Slice only.
  • the combined bi-predictive candidates are generated by combining the first reference picture list motion parameters of an initial candidate with the second reference picture list motion parameters of another. If these two tuples provide different motion hypotheses, they will form a new bi-predictive candidate. As an example, FIG.
  • Zero motion candidates are inserted to fill the remaining entries in the merge candidates list and therefore hit the MaxNumMergeCand capacity. These candidates have zero spatial displacement and a reference picture index which starts from zero and increases every time a new zero motion candidate is added to the list. The number of reference frames used by these candidates is one and two for uni and bi-directional prediction, respectively. Finally, no redundancy check is performed on these candidates.
  • HEVC defines the motion estimation region (MER) whose size is signalled in the picture parameter set using the “log 2_parallel_merge_level_minus2” syntax element. When a MER is defined, merge candidates falling in the same region are marked as unavailable and therefore not considered in the list construction.
  • log 2_parallel_merge_level_minus2 plus 2 specifies the value of the variable Log 2ParMrgLevel, which is used in the derivation process for luma motion vectors for merge mode as specified in clause 8.5.3.2.2 and the derivation process for spatial merging candidates as specified in clause 8.5.3.2.3.
  • the value of log 2_parallel_merge_level_minus2 shall be in the range of 0 to CtbLog 2SizeY ⁇ 2, inclusive.
  • Log 2ParMrgLevel indicates the built-in capability of parallel derivation of the merging candidate lists. For example, when Log 2ParMrgLevel is equal to 6, the merging candidate lists for all the prediction units (PUs) and coding units (CUs) contained in a 64 ⁇ 64 block can be derived in parallel.
  • PUs prediction units
  • CUs coding units
  • Motion vector prediction exploits spatio-temporal correlation of motion vector with neighbouring PUs, which is used for explicit transmission of motion parameters. It constructs a motion vector candidate list by firstly checking availability of left, above temporally neighbouring PU positions, removing redundant candidates and adding zero vector to make the candidate list to be constant length. Then, the encoder can select the best predictor from the candidate list and transmit the corresponding index indicating the chosen candidate. Similarly with merge index signalling, the index of the best motion vector candidate is encoded using truncated unary. The maximum value to be encoded in this case is 2 (e.g., FIGS. 2 to 8 ). In the following sections, details about derivation process of motion vector prediction candidate are provided.
  • FIG. 16 summarizes derivation process for motion vector prediction candidate.
  • motion vector candidate In motion vector prediction, two types of motion vector candidates are considered: spatial motion vector candidate and temporal motion vector candidate.
  • spatial motion vector candidate derivation two motion vector candidates are eventually derived based on motion vectors of each PU located in five different positions as depicted in FIG. 11 .
  • one motion vector candidate is selected from two candidates, which are derived based on two different co-located positions. After the first list of spatio-temporal candidates is made, duplicated motion vector candidates in the list are removed. If the number of potential candidates is larger than two, motion vector candidates whose reference picture index within the associated reference picture list is larger than 1 are removed from the list. If the number of spatio-temporal motion vector candidates is smaller than two, additional zero motion vector candidates is added to the list.
  • a maximum of two candidates are considered among five potential candidates, which are derived from PUs located in positions as depicted in FIG. 11 , those positions being the same as those of motion merge.
  • the order of derivation for the left side of the current PU is defined as A 0 , A 1 , and scaled A 0 , scaled A 1 .
  • the order of derivation for the above side of the current PU is defined as B 0 , B 1 , B 2 , scaled B 0 , scaled B 1 , scaled B 2 .
  • the no-spatial-scaling cases are checked first followed by the spatial scaling. Spatial scaling is considered when the POC is different between the reference picture of the neighbouring PU and that of the current PU regardless of reference picture list. If all PUs of left candidates are not available or are intra coded, scaling for the above motion vector is allowed to help parallel derivation of left and above MV candidates. Otherwise, spatial scaling is not allowed for the above motion vector.
  • the motion vector of the neighbouring PU is scaled in a similar manner as for temporal scaling, as depicted as FIG. 17 .
  • the main difference is that the reference picture list and index of current PU is given as input; the actual scaling process is the same as that of temporal scaling.
  • bitstream For the AMVP mode, four parts may be signalled in the bitstream, i.e., prediction direction, reference index, MVD and my predictor candidate index.
  • each CU can have at most one set of motion parameters for each prediction direction.
  • Two sub-CU level motion vector prediction methods are considered in the encoder by splitting a large CU into sub-CUs and deriving motion information for all the sub-CUs of the large CU.
  • Alternative temporal motion vector prediction (ATMVP) method allows each CU to fetch multiple sets of motion information from multiple blocks smaller than the current CU in the collocated reference picture.
  • STMVP spatial-temporal motion vector prediction
  • the motion compression for the reference frames is currently disabled.
  • the motion vectors temporal motion vector prediction is modified by fetching multiple sets of motion information (including motion vectors and reference indices) from blocks smaller than the current CU.
  • the sub-CUs are square N ⁇ N blocks (N is set to 4 by default).
  • ATMVP predicts the motion vectors of the sub-CUs within a CU in two steps.
  • the first step is to identify the corresponding block in a reference picture with a so-called temporal vector.
  • the reference picture is called the motion source picture.
  • the second step is to split the current CU into sub-CUs and obtain the motion vectors as well as the reference indices of each sub-CU from the block corresponding to each sub-CU, as shown in FIG. 18 .
  • a reference picture and the corresponding block is determined by the motion information of the spatial neighbouring blocks of the current CU.
  • the first merge candidate in the merge candidate list of the current CU is used.
  • the first available motion vector as well as its associated reference index are set to be the temporal vector and the index to the motion source picture.
  • the corresponding block may be more accurately identified, compared with TMVP, wherein the corresponding block (sometimes called collocated block) is always in a bottom-right or center position relative to the current CU.
  • the associated MV and reference picture are utilized to identify the source block and source picture.
  • FIG. 19 shows an example of the identification of source block and source picture
  • a corresponding block of the sub-CU is identified by the temporal vector in the motion source picture, by adding to the coordinate of the current CU the temporal vector.
  • the motion information of its corresponding block (the smallest motion grid that covers the center sample) is used to derive the motion information for the sub-CU.
  • the motion information of a corresponding N ⁇ N block is identified, it is converted to the motion vectors and reference indices of the current sub-CU, in the same way as TMVP of HEVC, wherein motion scaling and other procedures apply.
  • the decoder checks whether the low-delay condition (i.e.
  • motion vector MV x the motion vector corresponding to reference picture list X
  • motion vector MV y the motion vector corresponding to reference picture list X
  • FIG. 20 illustrates this concept. Let us consider an 8 ⁇ 8 CU which contains four 4 ⁇ 4 sub-CUs A, B, C, and D. The neighbouring 4 ⁇ 4 blocks in the current frame are labelled as a, b, c, and d.
  • the motion derivation for sub-CU A starts by identifying its two spatial neighbours.
  • the first neighbour is the N ⁇ N block above sub-CU A (block c). If this block c is not available or is intra coded the other N ⁇ N blocks above sub-CU A are checked (from left to right, starting at block c).
  • the second neighbour is a block to the left of the sub-CU A (block b). If block b is not available or is intra coded other blocks to the left of sub-CU A are checked (from top to bottom, staring at block b).
  • the motion information obtained from the neighbouring blocks for each list is scaled to the first reference frame for a given list.
  • temporal motion vector predictor (TMVP) of sub-block A is derived by following the same procedure of TMVP derivation as specified in HEVC.
  • the motion information of the collocated block at location D is fetched and scaled accordingly.
  • all available motion vectors (up to 3) are averaged separately for each reference list. The averaged motion vector is assigned as the motion vector of the current sub-CU.
  • FIG. 20 shows an example of one CU with four sub-blocks (A-D) and its neighbouring blocks (a-d).
  • the sub-CU modes are enabled as additional merge candidates and there is no additional syntax element required to signal the modes.
  • Two additional merge candidates are added to merge candidates list of each CU to represent the ATMVP mode and STMVP mode. Up to seven merge candidates are used, if the sequence parameter set indicates that ATMVP and STMVP are enabled.
  • the encoding logic of the additional merge candidates is the same as for the merge candidates in the HM, which means, for each CU in P or B slice, two more RD checks is needed for the two additional merge candidates.
  • MVDs motion vector differences
  • LAMVR locally adaptive motion vector resolution
  • MVD can be coded in units of quarter luma samples, integer luma samples or four luma samples.
  • the MVD resolution is controlled at the coding unit (CU) level, and MVD resolution flags are conditionally signalled for each CU that has at least one non-zero MVD components.
  • a first flag is signalled to indicate whether quarter luma sample MV precision is used in the CU.
  • the first flag (equal to 1) indicates that quarter luma sample MV precision is not used, another flag is signalled to indicate whether integer luma sample MV precision or four luma sample MV precision is used.
  • the quarter luma sample MV resolution is used for the CU.
  • the MVPs in the AMVP candidate list for the CU are rounded to the corresponding precision.
  • CU-level RD checks are used to determine which MVD resolution is to be used for a CU. That is, the CU-level RD check is performed three times for each MVD resolution.
  • the following encoding schemes are applied in the JEM.
  • the motion information of the current CU (integer luma sample accuracy) is stored.
  • the stored motion information (after rounding) is used as the starting point for further small range motion vector refinement during the RD check for the same CU with integer luma sample and 4 luma sample MVD resolution so that the time-consuming motion estimation process is not duplicated three times.
  • RD check of a CU with 4 luma sample MVD resolution is conditionally invoked.
  • RD cost integer luma sample MVD resolution is much larger than that of quarter luma sample MVD resolution
  • the RD check of 4 luma sample MVD resolution for the CU is skipped.
  • Pattern matched motion vector derivation (PMMVD) mode is a special merge mode based on Frame-Rate Up Conversion (FRUC) techniques. With this mode, motion information of a block is not signalled but derived at decoder side.
  • PMMVD Pattern matched motion vector derivation
  • FRUC Frame-Rate Up Conversion
  • a FRUC flag is signalled for a CU when its merge flag is true.
  • FRUC flag is false, a merge index is signalled and the regular merge mode is used.
  • FRUC flag is true, an additional FRUC mode flag is signalled to indicate which method (bilateral matching or template matching) is to be used to derive motion information for the block.
  • the decision on whether using FRUC merge mode for a CU is based on RD cost selection as done for normal merge candidate. That is the two matching modes (bilateral matching and template matching) are both checked for a CU by using RD cost selection. The one leading to the minimal cost is further compared to other CU modes. If a FRUC matching mode is the most efficient one, FRUC flag is set to true for the CU and the related matching mode is used.
  • Motion derivation process in FRUC merge mode has two steps.
  • a CU-level motion search is first performed, then followed by a Sub-CU level motion refinement.
  • an initial motion vector is derived for the whole CU based on bilateral matching or template matching.
  • a list of MV candidates is generated and the candidate which leads to the minimum matching cost is selected as the starting point for further CU level refinement.
  • a local search based on bilateral matching or template matching around the starting point is performed and the MV results in the minimum matching cost is taken as the MV for the whole CU.
  • the motion information is further refined at sub-CU level with the derived CU motion vectors as the starting points.
  • the following derivation process is performed for a W ⁇ H CU motion information derivation.
  • MV for the whole W ⁇ H CU is derived.
  • the CU is further split into M ⁇ M sub-CUs.
  • the value of M is calculated as in (16)
  • D is a predefined splitting depth which is set to 3 by default in the JEM. Then the MV for each sub-CU is derived.
  • the bilateral matching is used to derive motion information of the current CU by finding the closest match between two blocks along the motion trajectory of the current CU in two different reference pictures.
  • the motion vectors MV0 and MV1 pointing to the two reference blocks shall be proportional to the temporal distances, i.e., TD0 and TD1, between the current picture and the two reference pictures.
  • the bilateral matching becomes mirror based bi-directional MV.
  • template matching is used to derive motion information of the current CU by finding the closest match between a template (top and/or left neighbouring blocks of the current CU) in the current picture and a block (same size to the template) in a reference picture. Except the aforementioned FRUC merge mode, the template matching is also applied to AMVP mode.
  • AMVP has two candidates.
  • template matching method a new candidate is derived. If the newly derived candidate by template matching is different to the first existing AMVP candidate, it is inserted at the very beginning of the AMVP candidate list and then the list size is set to two (meaning remove the second existing AMVP candidate).
  • AMVP mode only CU level search is applied.
  • the MV candidate set at CU level consists of:
  • each valid MV of a merge candidate is used as an input to generate a MV pair with the assumption of bilateral matching.
  • one valid MV of a merge candidate is (MVa, refa) at reference list A.
  • the reference picture refb of its paired bilateral MV is found in the other reference list B so that refa and refb are temporally at different sides of the current picture. If such a refb is not available in reference list B, refb is determined as a reference which is different from refa and its temporal distance to the current picture is the minimal one in list B.
  • MVb is derived by scaling MVa based on the temporal distance between the current picture and refa, refb.
  • MVs from the interpolated MV field are also added to the CU level candidate list. More specifically, the interpolated MVs at the position (0, 0), (W/2, 0), (0, H/2) and (W/2, H/2) of the current CU are added.
  • the original AMVP candidates are also added to CU level MV candidate set.
  • the MV candidate set at sub-CU level consists of:
  • the scaled MVs from reference pictures are derived as follows. All the reference pictures in both lists are traversed. The MVs at a collocated position of the sub-CU in a reference picture are scaled to the reference of the starting CU-level MV.
  • ATMVP and STMVP candidates are limited to the four first ones.
  • interpolated motion field is generated for the whole picture based on unilateral ME. Then the motion field may be used later as CU level or sub-CU level MV candidates.
  • the motion field of each reference pictures in both reference lists is traversed at 4 ⁇ 4 block level.
  • the motion of the reference block is scaled to the current picture according to the temporal distance TD0 and TD1 (the same way as that of MV scaling of TMVP in HEVC) and the scaled motion is assigned to the block in the current frame. If no scaled MV is assigned to a 4 ⁇ 4 block, the block's motion is marked as unavailable in the interpolated motion field.
  • the matching cost is a bit different at different steps.
  • the matching cost is the absolute sum difference (SAD) of bilateral matching or template matching.
  • SAD absolute sum difference
  • the matching cost C of bilateral matching at sub-CU level search is calculated as follows:
  • MV and MVS indicate the current MV and the starting MV, respectively.
  • SAD is still used as the matching cost of template matching at sub-CU level search.
  • MV is derived by using luma samples only. The derived motion will be used for both luma and chroma for MC inter prediction. After MV is decided, final MC is performed using 8-taps interpolation filter for luma and 4-taps interpolation filter for chroma.
  • MV refinement is a pattern based MV search with the criterion of bilateral matching cost or template matching cost.
  • two search patterns are supported—an unrestricted center-biased diamond search (UCBDS) and an adaptive cross search for MV refinement at the CU level and sub-CU level, respectively.
  • UMBDS center-biased diamond search
  • the MV is directly searched at quarter luma sample MV accuracy, and this is followed by one-eighth luma sample MV refinement.
  • the search range of MV refinement for the CU and sub-CU step are set equal to 8 luma samples.
  • the encoder can choose among uni-prediction from list0, uni-prediction from list1 or bi-prediction for a CU. The selection is based on a template matching cost as follows:
  • cost0 is the SAD of list0 template matching
  • cost1 is the SAD of list1 template matching
  • costBi is the SAD of bi-prediction template matching.
  • the value of factor is equal to 1.25, which means that the selection process is biased toward bi-prediction.
  • the inter prediction direction selection is only applied to the CU-level template matching process.
  • bi-prediction operation for the prediction of one block region, two prediction blocks, formed using a motion vector (MV) of list0 and a MV of list1, respectively, are combined to form a single prediction signal.
  • MV motion vector
  • DMVR decoder-side motion vector refinement
  • the two motion vectors of the bi-prediction are further refined by a bilateral template matching process.
  • the bilateral template matching applied in the decoder to perform a distortion-based search between a bilateral template and the reconstruction samples in the reference pictures in order to obtain a refined MV without transmission of additional motion information.
  • a bilateral template is generated as the weighted combination (i.e. average) of the two prediction blocks, from the initial MV0 of list0 and MV1 of list1, respectively, as shown in FIG. 23 .
  • the template matching operation consists of calculating cost measures between the generated template and the sample region (around the initial prediction block) in the reference picture. For each of the two reference pictures, the MV that yields the minimum template cost is considered as the updated MV of that list to replace the original one.
  • nine MV candidates are searched for each list. The nine MV candidates include the original MV and 8 surrounding MVs with one luma sample offset to the original MV in either the horizontal or vertical direction, or both.
  • the two new MVs i.e., MV0′ and MV1′ as shown in FIG. 24 , are used for generating the final bi-prediction results.
  • a sum of absolute differences (SAD) is used as the cost measure.
  • DMVR is applied for the merge mode of bi-prediction with one MV from a reference picture in the past and another from a reference picture in the future, without the transmission of additional syntax elements.
  • JEM when LIC, affine motion, FRUC, or sub-CU merge candidate is enabled for a CU, DMVR is not applied.
  • a merge candidate list is first constructed by inserting the motion vectors and reference indices of the spatial neighboring and temporal neighboring blocks into the candidate list with redundancy checking until the number of the available candidates reaches the maximum candidate size of 19.
  • the merge candidate list for the merge/skip mode is constructed by inserting spatial candidates ( FIG. 11 ), temporal candidates, affine candidates, advanced temporal MVP (ATMVP) candidate, spatial temporal MVP (STMVP) candidate and the additional candidates as used in HEVC (Combined candidates and Zero candidates) according to a predefined insertion order:
  • IC flags are also inherited from merge candidates except for STMVP and affine. Moreover, for the first four spatial candidates, the bi-prediction ones are inserted before the ones with uni-prediction.
  • the current HEVC design could take the correlation of current block its neighbouring blocks (next to the current block) to better code the motion information. However, it is possible that that the neighbouring blocks correspond to different objects with different motion trajectories. In this case, prediction from its neighbouring blocks is not efficient.
  • Prediction from motion information of non-adjacent blocks could bring additional coding gain with the cost of storing all the motion information (typically on 4 ⁇ 4 level) into cache which significantly increase the complexity for hardware implementation.
  • Embodiments of the presently disclosed technology overcome the drawbacks of existing implementations, thereby providing video coding with higher coding efficiencies.
  • LUT-based motion vector prediction techniques using one or more tables with at least one motion candidate stored to predict motion information of a block can be implemented in various embodiments to provide video coding with higher coding efficiencies.
  • a look up table is an example of a table which can be used to include motion candidates to predict motion information of a block and other implementations are also possible.
  • Each LUT can include one or more motion candidates, each associated with corresponding motion information.
  • Motion information of a motion candidate can include partial or all of the prediction direction, reference indices/pictures, motion vectors, LIC flags, affine flags, Motion Vector Derivation (MVD) precisions, and/or MVD values.
  • Motion information may further include the block position information to indicate from which the motion information is coming.
  • the LUT-based motion vector prediction based on the disclosed technology which may enhance both existing and future video coding standards, is elucidated in the following examples described for various implementations. Because the LUTs allow the encoding/decoding process to be performed based on historical data (e.g., the blocks that have been processed), the LUT-based motion vector prediction can also be referred to as History-based Motion Vector Prediction (HMVP) method. In the LUT-based motion vector prediction method, one or multiple tables with motion information from previously coded blocks are maintained during the encoding/decoding process. These motion candidates stored in the LUTs are named HMVP candidates.
  • HMVP candidates are named referred to as History-based Motion Vector Prediction
  • the associated motion information in LUTs may be added to the motion candidate lists (e.g., merge/AMVP candidate lists), and after encoding/decoding one block, LUTs may be updated.
  • the updated LUTs are then used to code the subsequent blocks. That is, the updating of motion candidates in the LUTs are based on the encoding/decoding order of blocks.
  • Each look up table may contain one or more motion candidates wherein each candidate is associated with its motion information.
  • Example B1 For coding a block, partial or all of motion candidates from one look up table may be checked in order. When one motion candidate is checked during coding a block, it may be added to the motion candidate list (e.g., AMVP, merge candidate lists).
  • the motion candidate list e.g., AMVP, merge candidate lists
  • Example C1 The total number of motion candidates in a look up table to be checked may be pre-defined.
  • Example C2 The motion candidate(s) included in a look up table may be directly inherited by a block.
  • Example C5 Enabling/disabling the usage look up tables for motion information coding of a block may be signalled in SPS, PPS, Slice header, tile header, CTU, CTB, CU or PU, region covering multiple CTU/CTB/CU/PUs.
  • Example C6 Whether to apply prediction from look up tables may further depend on the coded information. When it is inferred not to apply for a block, additional signaling of indications of the prediction is skipped. Alternatively, when it is inferred not to apply for a block, there is no need to access motion candidates of look up tables, and the checking of related motion candidates is omitted.
  • Example C7 Motion candidates of a look up table in previously coded frames/slices/tiles may be used to predict motion information of a block in a different frame/slice/tile.
  • Example D1 After coding a block with motion information (i.e., IntraBC mode, inter coded mode), one or multiple look up tables may be updated.
  • a block with motion information i.e., IntraBC mode, inter coded mode
  • Example D2 If one block is located at a picture/slice/tile border, updating of look up tables may be always disallowed.
  • Example D3 Motion information of above LCU rows may be disabled to code the current LCU row.
  • Example D4 At the beginning of coding a slice/tile with a new temporal layer index, the number of available motion candidates may be reset to 0.
  • Example D6 Look up table updating process may be invoked within different procedures.
  • HMVP history-based MVP
  • a First-In-First-Out (FIFO) rule is applied so that the table always contains the latest previously coded L motion candidates.
  • FIG. 32 depicts an example wherein the FIFO rule is applied to remove a HMVP candidate and add a new one to the table used in the proposed method.
  • a redundancy checking process is applied firstly to identify whether there are identical or similar motion candidates in LUTs.
  • FIGS. 33A and 33B together show an example of redundancy-removal based LUT updating method (with one redundancy motion candidate removed).
  • FIGS. 34A and 34B show example implementation for two cases of the redundancy-removal based LUT updating method (with multiple redundancy motion candidates removed, 2 candidates in the figures)
  • FIG. 34A shows an example case of when the LUT is full before adding a new motion candidate.
  • FIG. 34B shows an example case of When the LUT is not full before adding a new motion candidate
  • HMVP candidates could also be used in the AMVP candidate list construction process.
  • the motion vectors of the last K1 HMVP candidates in the table are inserted after the TMVP candidate. Only HMVP candidates with the same reference picture as the AMVP target reference picture are used to construct the AMVP candidate list. Pruning is applied on the HMVP candidates. In one example, K1 is set to 4.
  • FIG. 30 is a flowchart for an example of video decoding method 3000 .
  • the method 3000 includes, at step 3002 , performing a conversion between a current block and a bitstream representation of a video including the current block by using one or more tables, wherein each table includes a one or more motion candidates and each motion candidate is associated with corresponding motion information.
  • the method 3000 further includes, at step 3004 , updating, based on the conversion, one or more tables, based on M sets of additional motion information associated with the current block, M being an integer.
  • the motion information includes at least one of: a prediction direction, a reference picture index, motion vector values, intensity compensation flag, affine flag, motion vector difference precision, and motion vector difference value. Further, the motion information may further include block position information indicating source of the motion information.
  • the video block may be a CU or a PU and the portion of video may correspond to one or more video slices or one or more video pictures.
  • the portion of video corresponds to a slice of video
  • the number of LUTs is equal to N*P
  • N is an integer representing LUTs per decoding thread
  • P is an integer representing a number of Largest Coding Unit rows or a number of tiles in the slice of video. Additional details of the methods 2900 and 3000 are described in the examples provided in Section 4 and the examples listed below.
  • a video processing method comprising: maintaining one or more tables, wherein each table includes one or more motion candidates and each motion candidate is associated with corresponding motion information; performing a conversion between a current block and a bitstream representation of a video including the current block by using motion information in a table; and updating, after performing of the conversion, one or more tables based on M sets of additional motion information associated with the current block, M being an integer.
  • the redundancy-removal based table updating process includes performing a comparing operation on an additional motion candidate to be added to a table to the current motion candidates in a table.
  • a motion candidate is associated with motion information including at least one of: a prediction direction, a reference picture index, motion vector values, an intensity compensation flag, an affine flag, a motion vector difference precision, or motion vector difference value.
  • An apparatus comprising a processor and a non-transitory memory with instructions thereon, wherein the instructions upon execution by the processor, cause the processor to implement the method in any one of clauses 1 to 59.
  • a computer program product stored on a non-transitory computer readable media including program code for carrying out the method in any one of clauses 1 to 59.
  • the disclosed and other embodiments, modules and the functional operations described in this document can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structures disclosed in this document and their structural equivalents, or in combinations of one or more of them.
  • the disclosed and other embodiments can be implemented as one or more computer program products, i.e., one or more modules of computer program instructions encoded on a computer readable medium for execution by, or to control the operation of, data processing apparatus.
  • the computer readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter effecting a machine-readable propagated signal, or a combination of one or more them.
  • data processing apparatus encompasses all apparatus, devices, and machines for processing data, including by way of example a programmable processor, a computer, or multiple processors or computers.
  • the apparatus can include, in addition to hardware, code that creates an execution environment for the computer program in question, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them.
  • a propagated signal is an artificially generated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode information for transmission to suitable receiver apparatus.
  • a computer program (also known as a program, software, software application, script, or code) can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
  • a computer program does not necessarily correspond to a file in a file system.
  • a program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code).
  • a computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.
  • the processes and logic flows described in this document can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output.
  • the processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application specific integrated circuit).
  • processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer.
  • a processor will receive instructions and data from a read only memory or a random-access memory or both.
  • the essential elements of a computer are a processor for performing instructions and one or more memory devices for storing instructions and data.
  • a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks.
  • mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks.
  • a computer need not have such devices.
  • Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto optical disks; and CD ROM and DVD-ROM disks.
  • semiconductor memory devices e.g., EPROM, EEPROM, and flash memory devices
  • magnetic disks e.g., internal hard disks or removable disks
  • magneto optical disks e.g., CD ROM and DVD-ROM disks.
  • the processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Discrete Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
US17/011,058 2018-06-29 2020-09-03 Update of look up table: fifo, constrained fifo Abandoned US20200404285A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US17/457,868 US11877002B2 (en) 2018-06-29 2021-12-06 Update of look up table: FIFO, constrained FIFO

Applications Claiming Priority (11)

Application Number Priority Date Filing Date Title
CNPCT/CN2018/093663 2018-06-29
CN2018093663 2018-06-29
CNPCT/CN2018/094929 2018-07-07
CN2018094929 2018-07-07
CN2018101220 2018-08-18
CNPCT/CN2018/101220 2018-08-18
CN2018117627 2018-11-27
CNPCT/CN2018/117627 2018-11-27
CN2019071214 2019-01-10
CNPCT/CN2019/071214 2019-01-10
PCT/IB2019/055586 WO2020003278A1 (en) 2018-06-29 2019-07-01 Update of look up table: fifo, constrained fifo

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2019/055586 Continuation WO2020003278A1 (en) 2018-06-29 2019-07-01 Update of look up table: fifo, constrained fifo

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US17/457,868 Continuation US11877002B2 (en) 2018-06-29 2021-12-06 Update of look up table: FIFO, constrained FIFO

Publications (1)

Publication Number Publication Date
US20200404285A1 true US20200404285A1 (en) 2020-12-24

Family

ID=67441544

Family Applications (3)

Application Number Title Priority Date Filing Date
US17/011,068 Active US11134267B2 (en) 2018-06-29 2020-09-03 Update of look up table: FIFO, constrained FIFO
US17/011,058 Abandoned US20200404285A1 (en) 2018-06-29 2020-09-03 Update of look up table: fifo, constrained fifo
US17/457,868 Active US11877002B2 (en) 2018-06-29 2021-12-06 Update of look up table: FIFO, constrained FIFO

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US17/011,068 Active US11134267B2 (en) 2018-06-29 2020-09-03 Update of look up table: FIFO, constrained FIFO

Family Applications After (1)

Application Number Title Priority Date Filing Date
US17/457,868 Active US11877002B2 (en) 2018-06-29 2021-12-06 Update of look up table: FIFO, constrained FIFO

Country Status (12)

Country Link
US (3) US11134267B2 (ko)
EP (2) EP3794825A1 (ko)
JP (2) JP7256265B2 (ko)
KR (2) KR102627814B1 (ko)
CN (2) CN110662039B (ko)
AU (1) AU2019293670B2 (ko)
BR (1) BR112020024202A2 (ko)
PH (1) PH12020552216A1 (ko)
SG (1) SG11202012293RA (ko)
TW (1) TWI723445B (ko)
WO (1) WO2020003278A1 (ko)
ZA (1) ZA202007990B (ko)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200413044A1 (en) 2018-09-12 2020-12-31 Beijing Bytedance Network Technology Co., Ltd. Conditions for starting checking hmvp candidates depend on total number minus k
US11134243B2 (en) 2018-07-02 2021-09-28 Beijing Bytedance Network Technology Co., Ltd. Rules on updating luts
US11134267B2 (en) 2018-06-29 2021-09-28 Beijing Bytedance Network Technology Co., Ltd. Update of look up table: FIFO, constrained FIFO
US11140385B2 (en) 2018-06-29 2021-10-05 Beijing Bytedance Network Technology Co., Ltd. Checking order of motion candidates in LUT
US11140383B2 (en) 2019-01-13 2021-10-05 Beijing Bytedance Network Technology Co., Ltd. Interaction between look up table and shared merge list
US11146785B2 (en) 2018-06-29 2021-10-12 Beijing Bytedance Network Technology Co., Ltd. Selection of coded motion information for LUT updating
US11159817B2 (en) 2018-06-29 2021-10-26 Beijing Bytedance Network Technology Co., Ltd. Conditions for updating LUTS
US11159807B2 (en) 2018-06-29 2021-10-26 Beijing Bytedance Network Technology Co., Ltd. Number of motion candidates in a look up table to be checked according to mode
US11284068B2 (en) 2018-12-03 2022-03-22 Beijing Bytedance Network Technology Co., Ltd. Indication method of maximum number of candidates
US11528501B2 (en) 2018-06-29 2022-12-13 Beijing Bytedance Network Technology Co., Ltd. Interaction between LUT and AMVP
US11528500B2 (en) 2018-06-29 2022-12-13 Beijing Bytedance Network Technology Co., Ltd. Partial/full pruning when adding a HMVP candidate to merge/AMVP
US11589071B2 (en) 2019-01-10 2023-02-21 Beijing Bytedance Network Technology Co., Ltd. Invoke of LUT updating
US11641483B2 (en) 2019-03-22 2023-05-02 Beijing Bytedance Network Technology Co., Ltd. Interaction between merge list construction and other tools
US11895318B2 (en) 2018-06-29 2024-02-06 Beijing Bytedance Network Technology Co., Ltd Concept of using one or multiple look up tables to store motion information of previously coded in order and use them to code following blocks
US11924406B2 (en) * 2019-01-01 2024-03-05 Lg Electronics Inc. Method and apparatus for processing video signal on basis of history-based motion vector prediction
US11956464B2 (en) 2019-01-16 2024-04-09 Beijing Bytedance Network Technology Co., Ltd Inserting order of motion candidates in LUT

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102583807B1 (ko) 2018-12-28 2023-09-26 가부시키가이샤 제이브이씨 켄우드 화상 부호화 장치, 화상 부호화 방법, 화상 부호화 프로그램, 화상 복호 장치, 화상 복호 방법 및 화상 복호 프로그램
WO2020137787A1 (ja) * 2018-12-28 2020-07-02 株式会社Ｊｖｃケンウッド 画像符号化装置、画像符号化方法、画像符号化プログラム、画像復号装置、画像復号方法及び画像復号プログラム
BR112021012481A2 (pt) * 2018-12-28 2021-09-08 Jvckenwood Corporation Dispositivo de codificação de imagem em movimento, método de codificação de imagem em movimento, programa de codificação de imagem em movimento, dispositivo de decodificação de imagem em movimento, método de decodificação de imagem em movimento, e programa de decodificação de imagem em movimento
WO2020137857A1 (ja) * 2018-12-28 2020-07-02 株式会社Ｊｖｃケンウッド 画像符号化装置、画像符号化方法、画像符号化プログラム、画像復号装置、画像復号方法及び画像復号プログラム
CN111698506B (zh) * 2019-03-11 2022-04-26 杭州海康威视数字技术股份有限公司 运动信息候选者列表构建方法、三角预测解码方法及装置
US11451809B2 (en) * 2019-08-28 2022-09-20 Tencent America LLC Method and apparatus for video coding
JP2023513518A (ja) 2020-02-05 2023-03-31 北京字節跳動網絡技術有限公司 ローカルデュアルツリー向けのパレットモード
WO2021155834A1 (en) 2020-02-05 2021-08-12 Beijing Bytedance Network Technology Co., Ltd. Deblocking parameters for chroma component
US11936899B2 (en) * 2021-03-12 2024-03-19 Lemon Inc. Methods and systems for motion candidate derivation
US11671616B2 (en) 2021-03-12 2023-06-06 Lemon Inc. Motion candidate derivation

Family Cites Families (320)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7023922B1 (en) 2000-06-21 2006-04-04 Microsoft Corporation Video coding system and method using 3-D discrete wavelet transform and entropy coding with motion information
US7623719B2 (en) 2003-09-26 2009-11-24 The Regents Of The University Of California Video encoding methods and devices
CN100545892C (zh) 2003-12-18 2009-09-30 汤姆森特许公司 生成视频图像场中的查找表的方法和装置
US7801220B2 (en) 2005-01-07 2010-09-21 Microsoft Corporation In-band wavelet video coding with spatial scalability
TW200708111A (en) 2005-04-13 2007-02-16 Nokia Corp FGS identification in scalable video coding
US20070025444A1 (en) 2005-07-28 2007-02-01 Shigeyuki Okada Coding Method
CN100539693C (zh) 2005-08-30 2009-09-09 深圳清华大学研究院 快速运动估计方法
EP2080383A4 (en) 2006-10-20 2009-12-09 Nokia Corp GENERIC INDICATION OF ADJUSTMENT GUIDE FOR SCALABLE MULTIMEDIA
KR100856411B1 (ko) 2006-12-01 2008-09-04 삼성전자주식회사 조도 보상 방법 및 그 장치와 그 방법을 기록한 컴퓨터로 읽을 수 있는 기록매체
US8228990B2 (en) 2008-01-16 2012-07-24 Sony Corporation Template matching scheme using multiple predictors as candidates for intra-prediction
WO2009094349A1 (en) 2008-01-22 2009-07-30 Dolby Laboratories Licensing Corporation Adaptive motion information cost estimation with dynamic look-up table updating
US8724697B2 (en) 2008-09-26 2014-05-13 Qualcomm Incorporated Locating motion vectors for video data units
CN102461172B (zh) 2009-06-18 2015-03-11 株式会社东芝 运动图像编码装置
US20110116546A1 (en) 2009-07-06 2011-05-19 Xun Guo Single pass adaptive interpolation filter
KR20110008653A (ko) 2009-07-20 2011-01-27 삼성전자주식회사 움직임 벡터 예측 방법과 이를 이용한 영상 부호화/복호화 장치 및 방법
CN102907098B (zh) 2009-10-01 2016-04-20 Sk电信有限公司 使用可变尺寸宏块对图像进行编码/解码的方法和装置
KR101600818B1 (ko) 2009-11-06 2016-03-09 삼성디스플레이 주식회사 3차원 광학 모듈 및 이를 포함하는 디스플레이 장치
JP5338684B2 (ja) 2010-01-08 2013-11-13 ソニー株式会社 画像処理装置、画像処理方法、およびプログラム
EP2532159A1 (en) 2010-02-05 2012-12-12 Telefonaktiebolaget L M Ericsson (PUBL) Selecting predicted motion vector candidates
KR101630688B1 (ko) 2010-02-17 2016-06-16 삼성전자주식회사 움직임 예측 장치 및 방법과 영상 처리 장치
WO2011146451A1 (en) 2010-05-20 2011-11-24 Thomson Licensing Methods and apparatus for adaptive motion vector candidate ordering for video encoding and decoding
KR20120016991A (ko) 2010-08-17 2012-02-27 오수미 인터 프리딕션 방법
US10104391B2 (en) 2010-10-01 2018-10-16 Dolby International Ab System for nested entropy encoding
US8711940B2 (en) 2010-11-29 2014-04-29 Mediatek Inc. Method and apparatus of motion vector prediction with extended motion vector predictor
WO2012074344A2 (ko) 2010-12-03 2012-06-07 엘지전자 주식회사 움직임 정보 리스트 인덱싱 방법 및 이러한 방법을 사용하는 장치
CN107105281B (zh) 2010-12-14 2019-11-12 M&K控股株式会社 用于解码运动画面的设备
KR20120068743A (ko) 2010-12-17 2012-06-27 한국전자통신연구원 인터 예측 방법 및 그 장치
KR20120070479A (ko) 2010-12-21 2012-06-29 한국전자통신연구원 화면 내 예측 방향 정보 부호화/복호화 방법 및 그 장치
US9049455B2 (en) 2010-12-28 2015-06-02 Panasonic Intellectual Property Corporation Of America Image coding method of coding a current picture with prediction using one or both of a first reference picture list including a first current reference picture for a current block and a second reference picture list including a second current reference picture for the current block
WO2012095467A1 (en) 2011-01-12 2012-07-19 Canon Kabushiki Kaisha Video encoding and decoding with low complexity
GB2492778A (en) 2011-07-11 2013-01-16 Canon Kk Motion compensated image coding by combining motion information predictors
US9319716B2 (en) 2011-01-27 2016-04-19 Qualcomm Incorporated Performing motion vector prediction for video coding
US20120195366A1 (en) 2011-02-01 2012-08-02 Mediatek Singapore Pte. Ltd. Method and Apparatus of Adaptive Inter Mode Coding Using Variable Length Codes
KR101961889B1 (ko) 2011-02-09 2019-03-25 엘지전자 주식회사 움직임 정보 저장 방법 및 이를 이용한 시간적 움직임 벡터 예측자 유도 방법
EP2490448A1 (de) 2011-02-18 2012-08-22 Siemens Aktiengesellschaft Kodierverfahren und Bildkodiervorrichtung zur Kompression einer Bildsequenz
US10171813B2 (en) 2011-02-24 2019-01-01 Qualcomm Incorporated Hierarchy of motion prediction video blocks
US9066110B2 (en) 2011-03-08 2015-06-23 Texas Instruments Incorporated Parsing friendly and error resilient merge flag coding in video coding
GB2501836B (en) 2011-03-09 2014-08-06 Canon Kk Video encoding
GB2488816A (en) 2011-03-09 2012-09-12 Canon Kk Mapping motion vectors from a plurality of reference frames to a single reference frame
HRP20230425T1 (hr) 2011-03-21 2023-07-07 Lg Electronics, Inc. Odabir prediktora vektora kretanja
US9143795B2 (en) 2011-04-11 2015-09-22 Texas Instruments Incorporated Parallel motion estimation in video coding
US9247266B2 (en) 2011-04-18 2016-01-26 Texas Instruments Incorporated Temporal motion data candidate derivation in video coding
US20120287999A1 (en) 2011-05-11 2012-11-15 Microsoft Corporation Syntax element prediction in error correction
KR102015674B1 (ko) 2011-05-24 2019-08-28 벨로스 미디어 인터내셔널 리미티드 화상 부호화 방법, 화상 부호화 장치, 화상 복호 방법, 화상 복호 장치, 및, 화상 부호화 복호 장치
CN105187839A (zh) 2011-05-31 2015-12-23 Jvc建伍株式会社 动图像解码装置、动图像解码方法、接收装置及接收方法
CA2834191C (en) 2011-05-31 2019-04-09 Panasonic Corporation Video encoding method, video encoding device, video decoding method, video decoding device, and video encoding/decoding device
US9866859B2 (en) 2011-06-14 2018-01-09 Texas Instruments Incorporated Inter-prediction candidate index coding independent of inter-prediction candidate list construction in video coding
WO2012172668A1 (ja) 2011-06-15 2012-12-20 株式会社 東芝 動画像符号化方法及び装置並びに動画復号化方法及び装置
JP5786478B2 (ja) 2011-06-15 2015-09-30 富士通株式会社 動画像復号装置、動画像復号方法、及び動画像復号プログラム
US9762900B2 (en) 2011-06-17 2017-09-12 Lg Electronics Inc. Method and apparatus for encoding/decoding video in intra prediction mode
US9282338B2 (en) 2011-06-20 2016-03-08 Qualcomm Incorporated Unified merge mode and adaptive motion vector prediction mode candidates selection
SI2838270T1 (sl) 2011-06-28 2017-01-31 Samsung Electronics Co., Ltd Postopek dekodiranja videa z uporabo notranjega napovedovanja
US20130003850A1 (en) 2011-06-30 2013-01-03 Toshiyasu Sugio Image decoding method, image coding method, image decoding apparatus, image coding apparatus, and image coding and decoding apparatus
CN107071403B (zh) 2011-06-30 2019-09-24 Jvc建伍株式会社 图像编码装置、图像编码方法、图像解码装置及图像解码方法
KR20140043242A (ko) * 2011-06-30 2014-04-08 가부시키가이샤 제이브이씨 켄우드 화상 부호화 장치, 화상 부호화 방법, 화상 부호화 프로그램, 화상 복호 장치, 화상 복호 방법 및 화상 복호 프로그램
US20130188013A1 (en) 2011-07-22 2013-07-25 Qualcomm Incorporated Mvc based 3dvc codec supporting inside view motion prediction (ivmp) mode
EP2741499A4 (en) 2011-08-03 2014-12-10 Panasonic Ip Corp America VIDEO CODING METHOD, VIDEO CODING METHOD, VIDEO CODING DEVICE, VIDEO ENCODING DEVICE AND VIDEO ENCODING / DECODING DEVICE
GB201113527D0 (en) 2011-08-04 2011-09-21 Imagination Tech Ltd External vectors in a motion estimation system
GB2493755B (en) 2011-08-17 2016-10-19 Canon Kk Method and device for encoding a sequence of images and method and device for decoding a sequence of images
CN103765886B (zh) 2011-08-29 2017-06-13 苗太平洋控股有限公司 以amvp模式产生预测区块的方法
US8804816B2 (en) 2011-08-30 2014-08-12 Microsoft Corporation Video encoding enhancements
WO2013036071A2 (ko) 2011-09-09 2013-03-14 엘지전자 주식회사 인터 예측 방법 및 그 장치
US10523967B2 (en) 2011-09-09 2019-12-31 Kt Corporation Method for deriving a temporal predictive motion vector, and apparatus using the method
US20130070855A1 (en) 2011-09-17 2013-03-21 Qualcomm Incorporated Hybrid motion vector coding modes for video coding
JP5884697B2 (ja) 2011-09-28 2016-03-15 株式会社Ｊｖｃケンウッド 動画像符号化装置、動画像符号化方法、動画像符号化プログラム、送信装置、送信方法及び送信プログラム
EP3754982B1 (en) 2011-09-29 2024-05-01 SHARP Kabushiki Kaisha Image decoding device, image decoding method, image encoding method and image encoding device for performing bi-prediction to uni-prediction conversion
US20140241434A1 (en) 2011-10-11 2014-08-28 Mediatek Inc Method and apparatus of motion and disparity vector derivation for 3d video coding and hevc
US9838692B2 (en) 2011-10-18 2017-12-05 Qualcomm Incorporated Detecting availabilities of neighboring video units for video coding
CN104378637B (zh) 2011-10-18 2017-11-21 株式会社Kt 视频信号解码方法
KR101999869B1 (ko) 2011-10-19 2019-07-12 선 페이턴트 트러스트 화상 부호화 방법, 화상 부호화 장치, 화상 복호 방법, 및, 화상 복호 장치
WO2013056656A1 (en) 2011-10-19 2013-04-25 Mediatek Inc. Method and apparatus for derivation of motion vector predictor candidate set
EP2769549A1 (en) 2011-10-21 2014-08-27 Dolby Laboratories Licensing Corporation Hierarchical motion estimation for video compression and motion analysis
US9462298B2 (en) 2011-10-21 2016-10-04 Qualcomm Incorporated Loop filtering around slice boundaries or tile boundaries in video coding
CN104041042B (zh) 2011-10-28 2018-10-23 太阳专利托管公司 图像编码方法、图像解码方法、图像编码装置及图像解码装置
US9571833B2 (en) 2011-11-04 2017-02-14 Nokia Technologies Oy Method for coding and an apparatus
KR20130050406A (ko) 2011-11-07 2013-05-16 오수미 머지 모드에서의 움직임 정보 생성 방법
US20130114717A1 (en) 2011-11-07 2013-05-09 Qualcomm Incorporated Generating additional merge candidates
KR20130050407A (ko) 2011-11-07 2013-05-16 오수미 인터 모드에서의 움직임 정보 생성 방법
EP4009640A1 (en) 2011-11-08 2022-06-08 Electronics and Telecommunications Research Institute Method and device for sharing a candidate list
CN107465922B (zh) 2011-11-08 2020-10-09 株式会社Kt 利用解码装置对视频信号进行解码的方法
CN104796723B (zh) 2011-11-08 2016-10-12 三星电子株式会社 用于在视频编码或解码中的运动矢量确定的方法和设备
KR101662918B1 (ko) 2011-11-11 2016-10-05 지이 비디오 컴프레션, 엘엘씨 깊이-맵 추정 및 업데이트를 사용한 효율적인 멀티-뷰 코딩
US9485503B2 (en) 2011-11-18 2016-11-01 Qualcomm Incorporated Inside view motion prediction among texture and depth view components
WO2013081365A1 (ko) 2011-11-28 2013-06-06 에스케이텔레콤 주식회사 개선된 머지를 이용한 영상 부호화/복호화 방법 및 장치
US9762904B2 (en) 2011-12-22 2017-09-12 Qualcomm Incorporated Performing motion vector prediction for video coding
US9900615B2 (en) 2011-12-28 2018-02-20 Microsoft Technology Licensing, Llc Representative motion information for temporal motion prediction in video encoding and decoding
RU2579665C9 (ru) 2011-12-28 2016-12-27 ДжейВиСи КЕНВУД КОРПОРЕЙШН Устройство кодирования движущегося изображения, способ кодирования движущегося изображения и программа кодирования движущегося изображения, а также устройство декодирования движущегося изображения, способ декодирования движущегося изображения и программа декодирования движущегося изображения
US20130188715A1 (en) 2012-01-09 2013-07-25 Qualcomm Incorporated Device and methods for merge list reordering in video coding
CN108235032B (zh) 2012-01-18 2022-01-07 Jvc 建伍株式会社 动图像解码装置以及动图像解码方法
BR122020017172B1 (pt) 2012-01-19 2022-11-29 Electronics And Telecommunications Research Institute Aparelho de decodificação de imagem
DK3512197T5 (da) 2012-01-20 2020-09-14 Dolby Laboratories Licensing Corp Fremgangsmåde til kortlægning af intraprædikationsmodus
KR101862329B1 (ko) 2012-01-20 2018-05-29 지이 비디오 컴프레션, 엘엘씨 병렬 처리, 전송 디멀티플렉서 및 비디오 비트스트림을 허용하는 코딩 개념
CN104205819B (zh) 2012-02-01 2017-06-30 诺基亚技术有限公司 用于视频编码的方法和装置
US9544592B2 (en) 2012-02-10 2017-01-10 Texas Instruments Incorporated Methods and systems for encoding pictures associated with video data
US9445076B2 (en) 2012-03-14 2016-09-13 Qualcomm Incorporated Disparity vector construction method for 3D-HEVC
US9503720B2 (en) 2012-03-16 2016-11-22 Qualcomm Incorporated Motion vector coding and bi-prediction in HEVC and its extensions
US10200709B2 (en) 2012-03-16 2019-02-05 Qualcomm Incorporated High-level syntax extensions for high efficiency video coding
WO2013140807A1 (ja) 2012-03-23 2013-09-26 株式会社Ｊｖｃケンウッド 動画像符号化装置、動画像符号化方法、動画像符号化プログラム、送信装置、送信方法及び送信プログラム、並びに動画像復号装置、動画像復号方法、動画像復号プログラム、受信装置、受信方法及び受信プログラム
US9325991B2 (en) 2012-04-11 2016-04-26 Qualcomm Incorporated Motion vector rounding
US9264706B2 (en) 2012-04-11 2016-02-16 Qualcomm Incorporated Bypass bins for reference index coding in video coding
US20130272412A1 (en) 2012-04-12 2013-10-17 Qualcomm Incorporated Common motion information candidate list construction process
SI3833023T1 (sl) 2012-04-12 2022-06-30 Jvckenwood Corporation Konstruiranje seznama kandidatov za spajanje
US9338451B2 (en) 2012-04-12 2016-05-10 Qualcomm Incorporated Common spatial candidate blocks for parallel motion estimation
US9503702B2 (en) 2012-04-13 2016-11-22 Qualcomm Incorporated View synthesis mode for three-dimensional video coding
WO2013157251A1 (ja) 2012-04-16 2013-10-24 株式会社Ｊｖｃケンウッド 動画像符号化装置、動画像符号化方法、動画像符号化プログラム、送信装置、送信方法及び送信プログラム、並びに動画像復号装置、動画像復号方法、動画像復号プログラム、受信装置、受信方法及び受信プログラム
US20150085932A1 (en) 2012-04-24 2015-03-26 Mediatek Inc. Method and apparatus of motion vector derivation for 3d video coding
CN104365102B (zh) * 2012-05-10 2018-01-02 Lg 电子株式会社 处理视频信号的方法和装置
US11317101B2 (en) 2012-06-12 2022-04-26 Google Inc. Inter frame candidate selection for a video encoder
US9258562B2 (en) 2012-06-13 2016-02-09 Qualcomm Incorporated Derivation of depth map estimate
US20130336406A1 (en) 2012-06-14 2013-12-19 Qualcomm Incorporated Redundancy removal for merge/skip mode motion information candidate list construction
US20130343459A1 (en) 2012-06-22 2013-12-26 Nokia Corporation Method and apparatus for video coding
JP2015525547A (ja) 2012-07-02 2015-09-03 サムスン エレクトロニクス カンパニー リミテッド ビデオ符号化またはビデオ復号化のための動きベクトル予測方法及びその装置
CN109257601A (zh) 2012-07-03 2019-01-22 夏普株式会社 图像解码装置以及图像编码装置
US20140071235A1 (en) 2012-09-13 2014-03-13 Qualcomm Incorporated Inter-view motion prediction for 3d video
US9998727B2 (en) 2012-09-19 2018-06-12 Qualcomm Incorporated Advanced inter-view residual prediction in multiview or 3-dimensional video coding
WO2014047351A2 (en) 2012-09-19 2014-03-27 Qualcomm Incorporated Selection of pictures for disparity vector derivation
WO2014049196A1 (en) 2012-09-27 2014-04-03 Nokia Corporation Method and techniqal equipment for scalable video coding
WO2014054267A1 (ja) 2012-10-01 2014-04-10 パナソニック株式会社 画像符号化装置及び画像符号化方法
CN104704835B (zh) 2012-10-03 2017-11-24 联发科技股份有限公司 视频编码中运动信息管理的装置与方法
US9699450B2 (en) 2012-10-04 2017-07-04 Qualcomm Incorporated Inter-view predicted motion vector for 3D video
CN102883163B (zh) 2012-10-08 2014-05-28 华为技术有限公司 用于运动矢量预测的运动矢量列表建立的方法、装置
TWI653877B (zh) 2012-10-12 2019-03-11 韓國電子通信研究院 視訊編碼及解碼方法及使用該方法之裝置
US9854234B2 (en) 2012-10-25 2017-12-26 Qualcomm Incorporated Reference picture status for video coding
US9357214B2 (en) 2012-12-07 2016-05-31 Qualcomm Incorporated Advanced merge/skip mode and advanced motion vector prediction (AMVP) mode for 3D video
US20150326880A1 (en) 2012-12-14 2015-11-12 Liu He Inside view motion prediction among texture and depth view components with asymmetric spatial resolution
US9544566B2 (en) 2012-12-14 2017-01-10 Qualcomm Incorporated Disparity vector derivation
US10021414B2 (en) 2013-01-04 2018-07-10 Qualcomm Incorporated Bitstream constraints and motion vector restriction for inter-view or inter-layer reference pictures
US9584792B2 (en) 2013-01-04 2017-02-28 Qualcomm Incorporated Indication of current view dependency on reference view in multiview coding file format
EP2941873A1 (en) 2013-01-07 2015-11-11 VID SCALE, Inc. Motion information signaling for scalable video coding
KR101740630B1 (ko) 2013-01-11 2017-05-26 미디어텍 싱가폴 피티이. 엘티디. 깊이 룩업 테이블의 효율적인 코딩을 위한 방법 및 장치
JP5692262B2 (ja) 2013-03-06 2015-04-01 株式会社Ｊｖｃケンウッド 動画像復号装置、動画像復号方法、動画像復号プログラム、受信装置、受信方法、及び受信プログラム
US10057594B2 (en) 2013-04-02 2018-08-21 Vid Scale, Inc. Enhanced temporal motion vector prediction for scalable video coding
US10158876B2 (en) 2013-04-10 2018-12-18 Qualcomm Incorporated Backward view synthesis prediction
JP6389833B2 (ja) 2013-04-10 2018-09-12 寰發股▲ふん▼有限公司ＨＦＩ Ｉｎｎｏｖａｔｉｏｎ Ｉｎｃ． 三次元ビデオ符号化の視点間候補導出の方法と装置
CN104125463A (zh) 2013-04-26 2014-10-29 华为技术有限公司 一种图像预测编码方法及图像编码器
EP2997732A1 (en) 2013-05-15 2016-03-23 VID SCALE, Inc. Single loop decoding based inter layer prediction
US9667990B2 (en) 2013-05-31 2017-05-30 Qualcomm Incorporated Parallel derived disparity vector for 3D video coding with neighbor-based disparity vector derivation
WO2015000108A1 (en) 2013-07-01 2015-01-08 Mediatek Singapore Pte. Ltd. An improved texture merging candidate in 3dvc
KR101854003B1 (ko) 2013-07-02 2018-06-14 경희대학교 산학협력단 복수의 레이어를 포함하는 영상의 부호화 및 복호화 방법
WO2015006920A1 (en) 2013-07-16 2015-01-22 Mediatek Singapore Pte. Ltd. An adaptive disparity vector derivation method
SG11201510554RA (en) 2013-07-24 2016-02-26 Qualcomm Inc Simplified advanced motion prediction for 3d-hevc
CN110033494A (zh) 2013-09-20 2019-07-19 Vid拓展公司 视频解码器设备和方法
US9667996B2 (en) 2013-09-26 2017-05-30 Qualcomm Incorporated Sub-prediction unit (PU) based temporal motion vector prediction in HEVC and sub-PU design in 3D-HEVC
GB2519514A (en) 2013-10-11 2015-04-29 Canon Kk Method and apparatus for displacement vector component prediction in video coding and decoding
US10070147B2 (en) 2013-10-18 2018-09-04 Lg Electronics Inc. Method predicting view synthesis in multi-view video coding and method for constituting merge candidate list by using same
CN104717510B (zh) 2013-12-13 2018-08-17 华为技术有限公司 用于图像处理的方法和装置
BR112016015080A2 (pt) 2014-01-03 2017-08-08 Microsoft Technology Licensing Llc Predição de vetor de bloco em codificação / decodificação de vídeo e imagem
US9967592B2 (en) 2014-01-11 2018-05-08 Qualcomm Incorporated Block-based advanced residual prediction for 3D video coding
US10212441B2 (en) 2014-02-12 2019-02-19 Chips & Media, Inc. Method and apparatus for processing video
US10368092B2 (en) 2014-03-04 2019-07-30 Microsoft Technology Licensing, Llc Encoder-side decisions for block flipping and skip mode in intra block copy prediction
US9591313B2 (en) 2014-03-04 2017-03-07 Vixs Systems, Inc. Video encoder with transform size preprocessing and methods for use therewith
US10567799B2 (en) 2014-03-07 2020-02-18 Qualcomm Incorporated Simplified sub-prediction unit (sub-PU) motion parameter inheritance (MPI)
US10187657B2 (en) 2014-03-14 2019-01-22 Samsung Electronics Co., Ltd. Method and device for configuring merge candidate list for decoding and encoding of interlayer video
WO2015139187A1 (en) 2014-03-17 2015-09-24 Mediatek Inc. Low latency encoder decision making for illumination compensation and depth look-up table transmission in video coding
US9756354B2 (en) 2014-03-17 2017-09-05 Qualcomm Incorporated Block vector predictor for intra block copying
WO2015139203A1 (en) 2014-03-18 2015-09-24 Mediatek Singapore Pte. Ltd. Dlt signaling in 3d video coding
CN106105191B (zh) 2014-03-19 2018-08-10 株式会社Kt 用于处理多视图视频信号的方法和装置
US10554967B2 (en) 2014-03-21 2020-02-04 Futurewei Technologies, Inc. Illumination compensation (IC) refinement based on positional pairings among pixels
US10666968B2 (en) 2014-05-06 2020-05-26 Hfi Innovation Inc. Method of block vector prediction for intra block copy mode coding
US10382749B2 (en) 2014-05-23 2019-08-13 Qualcomm Incorporated Coding run values based on palette index in palette-based video coding
WO2015180014A1 (en) 2014-05-26 2015-12-03 Mediatek Singapore Pte. Ltd. An improved merge candidate list construction method for intra block copy
CN110351567B (zh) 2014-06-16 2023-07-14 高通股份有限公司 3d-hevc中的简化移位合并候选者及合并列表导出
WO2015195849A1 (en) 2014-06-19 2015-12-23 Vid Scale, Inc. Systems and methods for model parameter optimization in three dimensional based color mapping
WO2015192780A1 (en) 2014-06-19 2015-12-23 Mediatek Singapore Pte. Ltd. Method and apparatus of candidate generation for single sample mode in video coding
CN105706450B (zh) 2014-06-23 2019-07-16 微软技术许可有限责任公司 根据基于散列的块匹配的结果的编码器决定
CN104079944B (zh) 2014-06-30 2017-12-01 华为技术有限公司 视频编码的运动矢量列表构建方法和系统
WO2016008157A1 (en) 2014-07-18 2016-01-21 Mediatek Singapore Pte. Ltd. Methods for motion compensation using high order motion model
WO2016008161A1 (en) 2014-07-18 2016-01-21 Mediatek Singapore Pte. Ltd. Temporal derived bi-directional motion vector predictor
KR102276854B1 (ko) 2014-07-31 2021-07-13 삼성전자주식회사 인루프 필터 파라미터 예측을 사용하는 비디오 부호화 방법 및 그 장치, 비디오 복호화 방법 및 그 장치
KR102034938B1 (ko) 2014-09-01 2019-10-21 에이치에프아이 이노베이션 인크. 스크린 콘텐츠 및 비디오 코딩을 위한 인트라 픽처 블록 카피의 방법
CN111988606B (zh) 2014-09-15 2022-09-20 寰发股份有限公司 去区块滤波方法、相应地编码装置和存储介质
EP3123718A4 (en) 2014-10-09 2017-05-03 HFI Innovation Inc. Method of 3d or multi-view video coding including view synthesis prediction
US9854237B2 (en) 2014-10-14 2017-12-26 Qualcomm Incorporated AMVP and merge candidate list derivation for intra BC and inter prediction unification
KR102466902B1 (ko) 2014-10-31 2022-11-14 삼성전자주식회사 움직임 벡터 부복호화 방법 및 장치
KR20170078672A (ko) 2014-10-31 2017-07-07 삼성전자주식회사 고정밀 스킵 부호화를 이용한 비디오 부호화 장치 및 비디오 복호화 장치 및 그 방법
US10182240B2 (en) 2014-11-18 2019-01-15 Mediatek Inc. Method of bi-prediction video coding based on motion vectors from uni-prediction and merge candidate
CN107113446A (zh) 2014-12-09 2017-08-29 联发科技股份有限公司 视频编码中的运动矢量预测子或合并候选的推导方法
WO2016090568A1 (en) 2014-12-10 2016-06-16 Mediatek Singapore Pte. Ltd. Binary tree block partitioning structure
US11477477B2 (en) 2015-01-26 2022-10-18 Qualcomm Incorporated Sub-prediction unit based advanced temporal motion vector prediction
US10230980B2 (en) 2015-01-26 2019-03-12 Qualcomm Incorporated Overlapped motion compensation for video coding
US10070130B2 (en) 2015-01-30 2018-09-04 Qualcomm Incorporated Flexible partitioning of prediction units
WO2016123792A1 (en) 2015-02-06 2016-08-11 Microsoft Technology Licensing, Llc Skipping evaluation stages during media encoding
US10057574B2 (en) 2015-02-11 2018-08-21 Qualcomm Incorporated Coding tree unit (CTU) level adaptive loop filter (ALF)
US11330284B2 (en) 2015-03-27 2022-05-10 Qualcomm Incorporated Deriving motion information for sub-blocks in video coding
CN111818344B (zh) 2015-04-08 2022-05-24 寰发股份有限公司 视频编解码中调色板模式上下文编解码和二值化的方法
CN104915966B (zh) 2015-05-08 2018-02-09 上海交通大学 基于卡尔曼滤波的帧率上变换运动估计方法及系统
US10200713B2 (en) 2015-05-11 2019-02-05 Qualcomm Incorporated Search region determination for inter coding within a particular picture of video data
US10368072B2 (en) 2015-05-29 2019-07-30 Qualcomm Incorporated Advanced arithmetic coder
US10356416B2 (en) 2015-06-09 2019-07-16 Qualcomm Incorporated Systems and methods of determining illumination compensation status for video coding
US10887597B2 (en) 2015-06-09 2021-01-05 Qualcomm Incorporated Systems and methods of determining illumination compensation parameters for video coding
US10271064B2 (en) 2015-06-11 2019-04-23 Qualcomm Incorporated Sub-prediction unit motion vector prediction using spatial and/or temporal motion information
US9918102B1 (en) 2015-06-22 2018-03-13 Ambarella, Inc. Inter-prediction candidate selection in a mode decision
WO2017043734A1 (ko) 2015-09-07 2017-03-16 엘지전자(주) 인터 예측 모드 기반 영상 처리 방법 및 이를 위한 장치
WO2017045101A1 (en) 2015-09-14 2017-03-23 Mediatek Singapore Pte. Ltd. Advanced deblocking filter in video coding
US20170094288A1 (en) 2015-09-25 2017-03-30 Nokia Technologies Oy Apparatus, a method and a computer program for video coding and decoding
US10812822B2 (en) 2015-10-02 2020-10-20 Qualcomm Incorporated Intra block copy merge mode and padding of unavailable IBC reference region
EP3357227A1 (en) 2015-10-02 2018-08-08 VID SCALE, Inc. Color correction with a lookup table
US10412407B2 (en) 2015-11-05 2019-09-10 Mediatek Inc. Method and apparatus of inter prediction using average motion vector for video coding
WO2017086746A1 (ko) 2015-11-19 2017-05-26 한국전자통신연구원 화면내 예측 모드 부호화/복호화 방법 및 장치
WO2017084512A1 (en) 2015-11-20 2017-05-26 Mediatek Inc. Method and apparatus of motion vector prediction or merge candidate derivation for video coding
JP6495835B2 (ja) 2016-01-06 2019-04-03 日本電信電話株式会社 映像符号化装置、映像復号装置、映像符号化方法、映像復号方法、映像符号化プログラム及び映像復号プログラム
CN105681807B (zh) 2016-01-06 2018-11-02 福州瑞芯微电子股份有限公司 一种基于h264协议的分像素运动矢量计算方法和装置
US10368083B2 (en) 2016-02-15 2019-07-30 Qualcomm Incorporated Picture order count based motion vector pruning
US10200715B2 (en) 2016-02-17 2019-02-05 Telefonaktiebolaget Lm Ericsson (Publ) Methods and devices for encoding and decoding video pictures
US11259047B2 (en) 2016-04-06 2022-02-22 Kt Corporation Method and apparatus for processing video signal
US20200169726A1 (en) 2016-04-08 2020-05-28 Electronics And Telecommunications Research Institute Method and device for inducing motion prediction information
WO2017188652A1 (ko) 2016-04-26 2017-11-02 인텔렉추얼디스커버리 주식회사 영상 부호화/복호화 방법 및 장치
US10142652B2 (en) 2016-05-05 2018-11-27 Google Llc Entropy coding motion vector residuals obtained using reference motion vectors
CN109121465B (zh) 2016-05-06 2023-06-06 交互数字麦迪逊专利控股公司 用于运动补偿残差预测的系统和方法
US10560718B2 (en) * 2016-05-13 2020-02-11 Qualcomm Incorporated Merge candidates for motion vector prediction for video coding
US10547854B2 (en) 2016-05-13 2020-01-28 Qualcomm Incorporated Neighbor based signaling of intra prediction modes
US10560712B2 (en) 2016-05-16 2020-02-11 Qualcomm Incorporated Affine motion prediction for video coding
US10419755B2 (en) 2016-05-16 2019-09-17 Qualcomm Incorporated Confusion of multiple filters in adaptive loop filtering in video coding
JP6921870B2 (ja) 2016-05-24 2021-08-18 エレクトロニクス アンド テレコミュニケーションズ リサーチ インスチチュートＥｌｅｃｔｒｏｎｉｃｓ Ａｎｄ Ｔｅｌｅｃｏｍｍｕｎｉｃａｔｉｏｎｓ Ｒｅｓｅａｒｃｈ Ｉｎｓｔｉｔｕｔｅ 画像復号方法、画像符号化方法及び記録媒体
JP6938612B2 (ja) 2016-07-12 2021-09-22 エレクトロニクス アンド テレコミュニケーションズ リサーチ インスチチュートＥｌｅｃｔｒｏｎｉｃｓ Ａｎｄ Ｔｅｌｅｃｏｍｍｕｎｉｃａｔｉｏｎｓ Ｒｅｓｅａｒｃｈ Ｉｎｓｔｉｔｕｔｅ 画像復号方法、画像符号化方法、及び非一時的なコンピュータ可読の記録媒体
CN116708783A (zh) 2016-07-12 2023-09-05 韩国电子通信研究院 图像编码/解码方法以及用于该方法的记录介质
US11638027B2 (en) 2016-08-08 2023-04-25 Hfi Innovation, Inc. Pattern-based motion vector derivation for video coding
US10721489B2 (en) 2016-09-06 2020-07-21 Qualcomm Incorporated Geometry-based priority for the construction of candidate lists
WO2018049594A1 (en) 2016-09-14 2018-03-22 Mediatek Inc. Methods of encoder decision for quad-tree plus binary tree structure
US10812791B2 (en) 2016-09-16 2020-10-20 Qualcomm Incorporated Offset vector identification of temporal motion vector predictor
WO2018061522A1 (ja) 2016-09-27 2018-04-05 シャープ株式会社 動きベクトル生成装置、予測画像生成装置、動画像復号装置、および動画像符号化装置
JP6700489B2 (ja) 2016-09-30 2020-05-27 華為技術有限公司Ｈｕａｗｅｉ Ｔｅｃｈｎｏｌｏｇｉｅｓ Ｃｏ．，Ｌｔｄ． インター予測を介する画像符号化および復号のための方法および装置
US10778999B2 (en) 2016-09-30 2020-09-15 Qualcomm Incorporated Frame rate up-conversion coding mode with affine motion model
EP3509297B1 (en) 2016-09-30 2021-06-23 Huawei Technologies Co., Ltd. Video encoding method, decoding method and terminal
EP3301919A1 (en) 2016-10-03 2018-04-04 Thomson Licensing Method and apparatus for encoding and decoding motion information
US10448010B2 (en) 2016-10-05 2019-10-15 Qualcomm Incorporated Motion vector prediction for affine motion models in video coding
JP2019216294A (ja) 2016-10-14 2019-12-19 シャープ株式会社 エントロピー復号装置、エントロピー符号化装置、画像復号装置および画像符号化装置
CN117528107A (zh) 2016-11-28 2024-02-06 英迪股份有限公司 图像编码方法、图像解码方法及用于传送比特流的方法
EP4090025A1 (en) 2016-12-05 2022-11-16 LG Electronics Inc. Video decoding method, video encoding method, storage medium and transmission method
WO2018117706A1 (ko) 2016-12-22 2018-06-28 주식회사 케이티 비디오 신호 처리 방법 및 장치
KR20180074000A (ko) 2016-12-23 2018-07-03 삼성전자주식회사 비디오 디코딩 방법, 이를 수행하는 비디오 디코더, 비디오 인코딩 방법, 및 이를 수행하는 비디오 인코더
CN106851046A (zh) 2016-12-28 2017-06-13 中国科学院自动化研究所 视频动态超分辨率处理方法及系统
US10681370B2 (en) 2016-12-29 2020-06-09 Qualcomm Incorporated Motion vector generation for affine motion model for video coding
EP3343925A1 (en) 2017-01-03 2018-07-04 Thomson Licensing Method and apparatus for encoding and decoding motion information
US20180192071A1 (en) 2017-01-05 2018-07-05 Mediatek Inc. Decoder-side motion vector restoration for video coding
US10701366B2 (en) 2017-02-21 2020-06-30 Qualcomm Incorporated Deriving motion vector information at a video decoder
US20180242024A1 (en) 2017-02-21 2018-08-23 Mediatek Inc. Methods and Apparatuses of Candidate Set Determination for Quad-tree Plus Binary-tree Splitting Blocks
US10595035B2 (en) 2017-03-22 2020-03-17 Qualcomm Incorporated Constraining motion vector information derived by decoder-side motion vector derivation
US10491917B2 (en) 2017-03-22 2019-11-26 Qualcomm Incorporated Decoder-side motion vector derivation
US10805650B2 (en) 2017-03-27 2020-10-13 Qualcomm Incorporated Signaling important video information in network video streaming using mime type parameters
CN117395405A (zh) 2017-04-28 2024-01-12 英迪股份有限公司 图像解码方法、图像编码方法和用于发送比特流的方法
US10742975B2 (en) 2017-05-09 2020-08-11 Futurewei Technologies, Inc. Intra-prediction with multiple reference lines
US20180332312A1 (en) 2017-05-09 2018-11-15 Futurewei Technologies, Inc. Devices And Methods For Video Processing
EP3410717A1 (en) 2017-05-31 2018-12-05 Thomson Licensing Methods and apparatus for candidate list pruning
US10523934B2 (en) 2017-05-31 2019-12-31 Mediatek Inc. Split based motion vector operation reduction
CN110771169A (zh) 2017-06-09 2020-02-07 韩国电子通信研究院 视频编码/解码方法和装置以及存储比特流的记录介质
US10602180B2 (en) 2017-06-13 2020-03-24 Qualcomm Incorporated Motion vector prediction
CN109089119B (zh) 2017-06-13 2021-08-13 浙江大学 一种运动矢量预测的方法及设备
US10757420B2 (en) 2017-06-23 2020-08-25 Qualcomm Incorporated Combination of inter-prediction and intra-prediction in video coding
US10911769B2 (en) 2017-06-23 2021-02-02 Qualcomm Incorporated Motion-based priority for the construction of candidate lists in video coding
EP3422716A1 (en) 2017-06-26 2019-01-02 Thomson Licensing Method and apparatus for most probable mode (mpm) sorting and signaling in video encoding and decoding
US10687077B2 (en) 2017-06-26 2020-06-16 Qualcomm Incorporated Motion information propagation in video coding
WO2019009546A1 (ko) 2017-07-04 2019-01-10 엘지전자 주식회사 인터 예측 기반의 영상 처리 방법 및 이를 위한 장치
CN107295348A (zh) 2017-07-31 2017-10-24 南通海鑫信息科技有限公司 一种图像编码方法
US10284869B2 (en) 2017-09-28 2019-05-07 Google Llc Constrained motion field estimation for hardware efficiency
US11570470B2 (en) 2017-09-28 2023-01-31 Vid Scale, Inc. Complexity reduction of overlapped block motion compensation
KR102427789B1 (ko) 2017-10-10 2022-08-02 한국전자통신연구원 인터 예측 정보를 사용하는 방법 및 장치
US20190116374A1 (en) 2017-10-17 2019-04-18 Qualcomm Incorporated Coding motion information of video data using coding structure-based candidate list construction
WO2019083334A1 (ko) 2017-10-26 2019-05-02 한국전자통신연구원 비대칭 서브 블록 기반 영상 부호화/복호화 방법 및 장치
KR102387363B1 (ko) * 2017-11-30 2022-04-18 엘지전자 주식회사 영상 코딩 시스템에서 인터 예측에 따른 영상 디코딩 방법 및 장치
CN109963155B (zh) 2017-12-23 2023-06-06 华为技术有限公司 图像块的运动信息的预测方法、装置及编解码器
US11172229B2 (en) 2018-01-12 2021-11-09 Qualcomm Incorporated Affine motion compensation with low bandwidth
US11265551B2 (en) 2018-01-18 2022-03-01 Qualcomm Incorporated Decoder-side motion vector derivation
US10652571B2 (en) 2018-01-25 2020-05-12 Qualcomm Incorporated Advanced motion vector prediction speedups for video coding
WO2019194440A1 (ko) 2018-04-02 2019-10-10 엘지전자 주식회사 인트라 예측 모드에 대한 룩업 테이블을 이용한 영상 코딩 방법 및 그 장치
US10986343B2 (en) 2018-04-15 2021-04-20 Arris Enterprises Llc Reducing overhead for multiple-hypothesis temporal prediction
EP3794819A4 (en) 2018-05-23 2022-12-07 HFI Innovation Inc. METHOD AND APPARATUS FOR VIDEO CODING WITH BI-DIRECTIONAL CU WEIGHTS
CN112166612A (zh) * 2018-05-23 2021-01-01 株式会社Kt 用于处理视频信号的方法和设备
WO2019234674A1 (en) 2018-06-07 2019-12-12 Beijing Bytedance Network Technology Co., Ltd. Integer motion compensation
WO2020003274A1 (en) 2018-06-29 2020-01-02 Beijing Bytedance Network Technology Co., Ltd. Checking order of motion candidates in lut
EP3791587A1 (en) 2018-06-29 2021-03-17 Beijing Bytedance Network Technology Co. Ltd. Resetting of look up table per slice/tile/lcu row
CN115134599A (zh) 2018-06-29 2022-09-30 抖音视界有限公司 更新查找表（lut）的条件
EP3791589A1 (en) 2018-06-29 2021-03-17 Beijing Bytedance Network Technology Co. Ltd. Which lut to be updated or no updating
MX2020013828A (es) 2018-06-29 2021-03-25 Beijing Bytedance Network Tech Co Ltd Interaccion entre lut y amvp.
TWI723444B (zh) 2018-06-29 2021-04-01 大陸商北京字節跳動網絡技術有限公司 使用一個或多個查找表來按順序存儲先前編碼的運動信息並使用它們來編碼後面的塊的概念
CN110662057B (zh) 2018-06-29 2022-06-21 北京字节跳动网络技术有限公司 视频处理方法、装置、设备以及存储比特流的方法
BR112020024202A2 (pt) 2018-06-29 2021-02-17 Beijing Bytedance Network Technology Co., Ltd. método de processamento de dados de vídeo, aparelho de processamento de vídeo e meios de armazenamento e gravação legíveis por computador não transitório
TWI752331B (zh) 2018-06-29 2022-01-11 大陸商北京字節跳動網絡技術有限公司 當向Merge/AMVP添加HMVP候選時的部分/完全修剪
WO2020003258A1 (en) 2018-06-29 2020-01-02 Beijing Bytedance Network Technology Co., Ltd. Virtual merge candidates
JP7181395B2 (ja) 2018-07-02 2022-11-30 北京字節跳動網絡技術有限公司 イントラ予測モードを有するルックアップテーブルおよび非隣接ブロックからのイントラモード予測
CN117676163A (zh) 2018-07-06 2024-03-08 寰发股份有限公司 解码器的视频解码方法及装置
US11606575B2 (en) 2018-07-10 2023-03-14 Qualcomm Incorporated Multiple history based non-adjacent MVPs for wavefront processing of video coding
US11051036B2 (en) 2018-07-14 2021-06-29 Mediatek Inc. Method and apparatus of constrained overlapped block motion compensation in video coding
US10491902B1 (en) 2018-07-16 2019-11-26 Tencent America LLC Method and apparatus for history-based motion vector prediction
US10440378B1 (en) 2018-07-17 2019-10-08 Tencent America LLC Method and apparatus for history-based motion vector prediction with parallel processing
US11381833B2 (en) 2018-07-19 2022-07-05 Tencent America LLC Method and apparatus for video coding
US10958934B2 (en) 2018-07-27 2021-03-23 Tencent America LLC History-based affine merge and motion vector prediction
US10362330B1 (en) 2018-07-30 2019-07-23 Tencent America LLC Combining history-based motion vector prediction and non-adjacent merge prediction
CN115842912A (zh) 2018-08-04 2023-03-24 抖音视界有限公司 不同解码器侧运动矢量推导模式之间的交互
CN112567771A (zh) 2018-08-09 2021-03-26 华为技术有限公司 基于历史的帧内模式编解码方法和装置
WO2020036417A1 (ko) 2018-08-13 2020-02-20 엘지전자 주식회사 히스토리 기반 움직임 벡터에 기반한 인터 예측 방법 및 그 장치
EP3844950A4 (en) 2018-08-28 2022-05-25 FG Innovation Company Limited DEVICE AND METHOD FOR ENCODING VIDEO DATA
CN112806003B (zh) 2018-09-06 2024-02-13 Lg 电子株式会社 使用mpm列表的基于帧内预测的图像编码方法及其装置
TWI820211B (zh) 2018-09-12 2023-11-01 大陸商北京字節跳動網絡技術有限公司 取決於總數減去k的開始檢查hmvp候選的條件
US11212550B2 (en) 2018-09-21 2021-12-28 Qualcomm Incorporated History-based motion vector prediction for affine mode
US20210400298A1 (en) 2018-09-28 2021-12-23 Lg Electronics Inc. Method and apparatus for processing video signal by using affine prediction
US20200112715A1 (en) 2018-10-05 2020-04-09 Qualcomm Incorporated History-based motion vector prediction for inter prediction coding
CN112840653B (zh) 2018-10-06 2023-12-26 寰发股份有限公司 视频编解码中共享合并候选列表区域的方法和装置
US11051034B2 (en) 2018-10-08 2021-06-29 Qualcomm Incorporated History-based motion vector predictor
US11284066B2 (en) 2018-10-10 2022-03-22 Tencent America LLC Method and apparatus for intra block copy in intra-inter blending mode and triangle prediction unit mode
CA3115867C (en) 2018-10-10 2023-10-10 Huawei Technologies Co., Ltd. Inter prediction method and apparatus
WO2020084460A1 (en) 2018-10-22 2020-04-30 Beijing Bytedance Network Technology Co., Ltd. Decoder side motion vector derivation in the presence of multi-hypothesis prediction
CN112956197A (zh) 2018-10-22 2021-06-11 北京字节跳动网络技术有限公司 基于编解码信息的解码器侧运动矢量推导的限制
US11758164B2 (en) 2018-10-23 2023-09-12 Tencent America LLC Method and apparatus for video coding
CN111093073B (zh) 2018-10-24 2024-04-19 北京字节跳动网络技术有限公司 用于子块运动矢量预测的基于搜索的运动候选推导
BR112021007863A2 (pt) 2018-11-02 2021-07-27 Beijing Bytedance Network Technology Co., Ltd. método e aparelho para processar dados de vídeo, e, meios de armazenamento e de gravação legíveis por computador não transitórios
CN111418207B (zh) 2018-11-06 2024-04-19 北京字节跳动网络技术有限公司 依赖块尺寸的对运动信息的存储
CN112956202A (zh) 2018-11-06 2021-06-11 北京字节跳动网络技术有限公司 利用几何分割的帧间预测的扩展
CN113170170A (zh) 2018-11-22 2021-07-23 北京字节跳动网络技术有限公司 用于具有几何分割的帧间预测的混合方法
MX2021005654A (es) 2018-11-22 2021-07-07 Beijing Bytedance Network Tech Co Ltd Tecnica de modulacion por codificacion de pulsos en procesamiento de video.
US11184633B2 (en) 2018-11-27 2021-11-23 Qualcomm Incorporated Simplification of history-based motion vector prediction
US11146810B2 (en) 2018-11-27 2021-10-12 Qualcomm Incorporated Decoder-side motion vector refinement
CN116684589A (zh) 2018-12-12 2023-09-01 Lg电子株式会社 图像编解码设备和视频信号发送设备
WO2020137787A1 (ja) 2018-12-28 2020-07-02 株式会社Ｊｖｃケンウッド 画像符号化装置、画像符号化方法、画像符号化プログラム、画像復号装置、画像復号方法及び画像復号プログラム
WO2020141914A1 (ko) 2019-01-01 2020-07-09 엘지전자 주식회사 히스토리 기반 모션 벡터 예측을 기반으로 비디오 신호를 처리하기 위한 방법 및 장치
US11234007B2 (en) 2019-01-05 2022-01-25 Tencent America LLC Method and apparatus for video coding
KR20240010576A (ko) 2019-01-10 2024-01-23 베이징 바이트댄스 네트워크 테크놀로지 컴퍼니, 리미티드 Lut 업데이트의 호출
CN113383554B (zh) 2019-01-13 2022-12-16 北京字节跳动网络技术有限公司 LUT和共享Merge列表之间的交互
WO2020147772A1 (en) 2019-01-16 2020-07-23 Beijing Bytedance Network Technology Co., Ltd. Motion candidates derivation
CN113615193A (zh) 2019-03-22 2021-11-05 北京字节跳动网络技术有限公司 Merge列表构建和其他工具之间的交互

Cited By (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11146786B2 (en) 2018-06-20 2021-10-12 Beijing Bytedance Network Technology Co., Ltd. Checking order of motion candidates in LUT
US11528501B2 (en) 2018-06-29 2022-12-13 Beijing Bytedance Network Technology Co., Ltd. Interaction between LUT and AMVP
US11146785B2 (en) 2018-06-29 2021-10-12 Beijing Bytedance Network Technology Co., Ltd. Selection of coded motion information for LUT updating
US11134267B2 (en) 2018-06-29 2021-09-28 Beijing Bytedance Network Technology Co., Ltd. Update of look up table: FIFO, constrained FIFO
US11706406B2 (en) 2018-06-29 2023-07-18 Beijing Bytedance Network Technology Co., Ltd Selection of coded motion information for LUT updating
US11140385B2 (en) 2018-06-29 2021-10-05 Beijing Bytedance Network Technology Co., Ltd. Checking order of motion candidates in LUT
US11159817B2 (en) 2018-06-29 2021-10-26 Beijing Bytedance Network Technology Co., Ltd. Conditions for updating LUTS
US11909989B2 (en) 2018-06-29 2024-02-20 Beijing Bytedance Network Technology Co., Ltd Number of motion candidates in a look up table to be checked according to mode
US11877002B2 (en) 2018-06-29 2024-01-16 Beijing Bytedance Network Technology Co., Ltd Update of look up table: FIFO, constrained FIFO
US11153557B2 (en) 2018-06-29 2021-10-19 Beijing Bytedance Network Technology Co., Ltd. Which LUT to be updated or no updating
US11973971B2 (en) 2018-06-29 2024-04-30 Beijing Bytedance Network Technology Co., Ltd Conditions for updating LUTs
US11895318B2 (en) 2018-06-29 2024-02-06 Beijing Bytedance Network Technology Co., Ltd Concept of using one or multiple look up tables to store motion information of previously coded in order and use them to code following blocks
US11695921B2 (en) 2018-06-29 2023-07-04 Beijing Bytedance Network Technology Co., Ltd Selection of coded motion information for LUT updating
US11245892B2 (en) 2018-06-29 2022-02-08 Beijing Bytedance Network Technology Co., Ltd. Checking order of motion candidates in LUT
US11159807B2 (en) 2018-06-29 2021-10-26 Beijing Bytedance Network Technology Co., Ltd. Number of motion candidates in a look up table to be checked according to mode
US11528500B2 (en) 2018-06-29 2022-12-13 Beijing Bytedance Network Technology Co., Ltd. Partial/full pruning when adding a HMVP candidate to merge/AMVP
US11463685B2 (en) 2018-07-02 2022-10-04 Beijing Bytedance Network Technology Co., Ltd. LUTS with intra prediction modes and intra mode prediction from non-adjacent blocks
US11134243B2 (en) 2018-07-02 2021-09-28 Beijing Bytedance Network Technology Co., Ltd. Rules on updating luts
US11153558B2 (en) 2018-07-02 2021-10-19 Beijing Bytedance Network Technology Co., Ltd. Update of look-up tables
US11134244B2 (en) 2018-07-02 2021-09-28 Beijing Bytedance Network Technology Co., Ltd. Order of rounding and pruning in LAMVR
US11153559B2 (en) 2018-07-02 2021-10-19 Beijing Bytedance Network Technology Co., Ltd. Usage of LUTs
US20200413044A1 (en) 2018-09-12 2020-12-31 Beijing Bytedance Network Technology Co., Ltd. Conditions for starting checking hmvp candidates depend on total number minus k
US11159787B2 (en) 2018-09-12 2021-10-26 Beijing Bytedance Network Technology Co., Ltd. Conditions for starting checking HMVP candidates depend on total number minus K
US20210297659A1 (en) 2018-09-12 2021-09-23 Beijing Bytedance Network Technology Co., Ltd. Conditions for starting checking hmvp candidates depend on total number minus k
US11997253B2 (en) 2018-09-12 2024-05-28 Beijing Bytedance Network Technology Co., Ltd Conditions for starting checking HMVP candidates depend on total number minus K
US11284068B2 (en) 2018-12-03 2022-03-22 Beijing Bytedance Network Technology Co., Ltd. Indication method of maximum number of candidates
US11856185B2 (en) 2018-12-03 2023-12-26 Beijing Bytedance Network Technology Co., Ltd Pruning method in different prediction mode
US11924406B2 (en) * 2019-01-01 2024-03-05 Lg Electronics Inc. Method and apparatus for processing video signal on basis of history-based motion vector prediction
US11589071B2 (en) 2019-01-10 2023-02-21 Beijing Bytedance Network Technology Co., Ltd. Invoke of LUT updating
US11909951B2 (en) 2019-01-13 2024-02-20 Beijing Bytedance Network Technology Co., Ltd Interaction between lut and shared merge list
US11140383B2 (en) 2019-01-13 2021-10-05 Beijing Bytedance Network Technology Co., Ltd. Interaction between look up table and shared merge list
US11956464B2 (en) 2019-01-16 2024-04-09 Beijing Bytedance Network Technology Co., Ltd Inserting order of motion candidates in LUT
US11962799B2 (en) 2019-01-16 2024-04-16 Beijing Bytedance Network Technology Co., Ltd Motion candidates derivation
US11641483B2 (en) 2019-03-22 2023-05-02 Beijing Bytedance Network Technology Co., Ltd. Interaction between merge list construction and other tools

Also Published As

Publication number Publication date
US11877002B2 (en) 2024-01-16
CN110662039A (zh) 2020-01-07
SG11202012293RA (en) 2021-01-28
US11134267B2 (en) 2021-09-28
US20220094967A1 (en) 2022-03-24
EP3794825A1 (en) 2021-03-24
TWI723445B (zh) 2021-04-01
PH12020552216A1 (en) 2021-08-02
CN114845108A (zh) 2022-08-02
EP4325860A2 (en) 2024-02-21
TW202015421A (zh) 2020-04-16
CN110662039B (zh) 2022-06-07
AU2019293670B2 (en) 2023-06-08
KR102627814B1 (ko) 2024-01-23
AU2019293670A1 (en) 2021-01-14
ZA202007990B (en) 2022-04-28
EP4325860A3 (en) 2024-03-06
BR112020024202A2 (pt) 2021-02-17
WO2020003278A1 (en) 2020-01-02
KR20210025538A (ko) 2021-03-09
JP2021530936A (ja) 2021-11-11
KR20240007299A (ko) 2024-01-16
US20200404320A1 (en) 2020-12-24
JP7256265B2 (ja) 2023-04-11
JP2023078444A (ja) 2023-06-06

Similar Documents

Publication Publication Date Title
US11877002B2 (en) Update of look up table: FIFO, constrained FIFO
US11528500B2 (en) Partial/full pruning when adding a HMVP candidate to merge/AMVP
US11245892B2 (en) Checking order of motion candidates in LUT
US10778997B2 (en) Resetting of look up table per slice/tile/LCU row
US11153557B2 (en) Which LUT to be updated or no updating
US11140383B2 (en) Interaction between look up table and shared merge list
US10873756B2 (en) Interaction between LUT and AMVP
US11997253B2 (en) Conditions for starting checking HMVP candidates depend on total number minus K
US11589071B2 (en) Invoke of LUT updating
WO2020003271A1 (en) Interaction between lut and merge: insert hmvp as a merge candidate, position of hmvp
US20240187639A1 (en) Update of look up table: fifo, constrained fifo

Legal Events

Date Code Title Description
AS Assignment

Owner name: BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD., CHINA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:LIU, HONGBIN;WANG, YUE;REEL/FRAME:053687/0544

Effective date: 20190613

Owner name: BYTEDANCE INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ZHANG, LI;ZHANG, KAI;SIGNING DATES FROM 20190612 TO 20190617;REEL/FRAME:053687/0485

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: FINAL REJECTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE AFTER FINAL ACTION FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: ADVISORY ACTION MAILED

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION