Region merging and coding parameter reuse via merging

• US 10,803,483 B2
• Filed: 01/30/2019
• Issued: 10/13/2020
• Est. Priority Date: 04/13/2010
• Status: Active Grant

• Current Assignee: GE Video Compression, LLC (General Electric Company)
• Original Assignee: GE Video Compression, LLC (General Electric Company)
• Inventors: Helle, Philipp, Oudin, Simon, Winken, Martin, Marpe, Detlev, Wiegand, Thomas
• Primary Examiner(s): Retallick, Kaitlin A
• Application Number:
  US16/261,823
• Publication Number:
  US 20190164188A1
• Time in Patent Office: 622 Days
• Field of Search: None
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: H04N 19/105 Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• CPC Class Codes: H04N 19/119 Adaptive subdivision aspects, e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
• CPC Class Codes: H04N 19/139 Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• CPC Class Codes: H04N 19/14 Coding unit complexity, e.g. amount of activity or edge presence estimation H04N19/146 takes precedence
• CPC Class Codes: H04N 19/147 according to rate distortion criteria rate-distortion as a criterion for motion estimation H04N19/567
• CPC Class Codes: H04N 19/176 the region being a block, e.g. a macroblock
• CPC Class Codes: H04N 19/186 the unit being a colour or a chrominance component
• CPC Class Codes: H04N 19/196 being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters processing of motion vectors H04N19/513
• CPC Class Codes: H04N 19/197 including determination of the initial value of an encoding parameter H04N19/56 takes precedence
• CPC Class Codes: H04N 19/46 Embedding additional information in the video signal during the compression process H04N19/517, H04N19/68, H04N19/70 take precedence
• CPC Class Codes: H04N 19/463 by compressing encoding parameters before transmission
• CPC Class Codes: H04N 19/52 by predictive encoding
• CPC Class Codes: H04N 19/61 in combination with predictive coding
• CPC Class Codes: H04N 19/96 Tree coding, e.g. quad-tree coding

Abstract

A favorable merging or grouping of simply connected regions into which the array of information samples is sub-divided, is coded with a reduced amount of data. To this end, a predetermined relative locational relationship is defined enabling an identifying, for a predetermined simply connected region, of simply connected regions within the plurality of simply connected regions which have the predetermined relative locational relationship to the predetermined simply connected region. Namely, if the number is zero, a merge indicator for the predetermined simply connected region may be absent within the data stream. In other embodiments, spatial sub-division is performed depending on a first subset of syntax elements, followed by combining spatially neighboring simply connected regions depending on a second subset of syntax elements, to obtain an intermediate sub-division.

Claims

1. A decoder for decoding a data stream comprising an array of information samples, the decoder comprising:

an extractor configured for

extracting, from a data stream, a candidate identifier which identifies a specific one of a set of candidate regions for a current region being decoded within the array of information samples, wherein the current region is one of a plurality of regions obtained by dividing the array of information samples, and

selecting the specific one of the set of candidate regions as a selected candidate region for the current region in accordance with the candidate identifier; and

a reconstructor configured for

determining whether the current region is to be reconstructed by copying or computing a first coding parameter based on a second coding parameter associated with the selected candidate region,

copying, if a determination is to copy, the first coding parameter from the second coding parameter,

computing, if the determination is to compute, the first coding parameter based on a prediction of the first coding parameter using the second coding parameter and a prediction residual of the first coding parameter, and

reconstructing the current region based on the first coding parameter.

2. The decoder of claim 1, further comprising an entropy decoder configured for entropy decoding the candidate identifier using context modeling based on a single probability model.

3. The decoder of claim 1, wherein the extractor is configured for identifying the set of candidate regions with respect to the current region.

4. The decoder of claim 1, wherein the extractor is further configured for determining the first coding parameter when the set of candidate regions have at least one identical coding parameter.

5. The decoder of claim 1, wherein the extractor is further configured for extracting, from the data stream, the candidate identifier when the set of candidate regions do not have an identical coding parameter.

6. The decoder of claim 1, further comprising a sub-divider configured for obtaining the plurality of regions by:

partitioning the array of information samples into a first set of regions in accordance with a maximum region size extracted from the data stream; and

sub-partitioning at least a subset of the first set of regions into a set of sub-regions based on multi-tree subdivision information associated therewith.

7. The decoder of claim 1, wherein the array of information samples includes depth information.

8. The decoder of claim 1, wherein the array of information samples is one of samples arrays related to different color components which form color planes of a picture, and the decoder is configured for decoding the different color planes of the picture independently.

30. The decoder of claim 1, wherein the array of information samples comprises an array of luma samples along with two arrays of chroma samples per frame, wherein a first scaling factor for a spatial resolution of the arrays of chroma samples relative to the array of luma samples in the horizontal direction differs from a second scaling factor for a spatial resolution of the arrays of chroma samples relative to the array of luma samples in the vertical direction.

9. A method for decoding a data stream comprising an array of information samples, the method comprising:

extracting, from a data stream, a candidate identifier which identifies a specific one of a set of candidate regions for a current region being decoded within the array of information samples, wherein the current region is one of a plurality of regions obtained by dividing the array of information samples;

selecting the specific one of the set of candidate regions as a selected candidate region for the current region in accordance with the candidate identifier;

determining whether the current region is to be reconstructed by copying or computing a first coding parameter based on a second coding parameter associated with the selected candidate region;

copying, if a determination is to copy, the first coding parameter from the second coding parameter;

computing, if the determination is to compute, the first coding parameter based on a prediction of the first coding parameter using the second coding parameter and a prediction residual of the first coding parameter; and

reconstructing the current region based on the first coding parameter.

10. The method of claim 9, further comprising entropy decoding the candidate identifier using context modeling based on a single probability model.

11. The method of claim 9, further comprising identifying the set of candidate regions with respect to the current region.

12. The method of claim 9, wherein the extracting comprising extracting, from the data stream, the candidate identifier when the set of candidate regions do not have an identical coding parameter.

13. The method of claim 9, further comprising obtaining the plurality of regions by:

partitioning the array of information samples into a first set of regions in accordance with a maximum region size extracted from the data stream; and

sub-partitioning at least a subset of the first set of regions into a set of sub-regions based on multi-tree subdivision information associated therewith.

14. The method of claim 9, wherein the array of information samples includes depth information.

15. The method of claim 9, wherein the array of information samples is one of samples arrays related to different color components which form color planes of a picture, and the different color planes of the picture are decoded independently.

16. A non-transitory computer readable medium configured to store a data stream, the data stream comprising encoded information including an array of information samples which is divided into a plurality of regions, the data stream comprising:

a candidate identifier that identifies a specific one of a set of candidate regions as a selected candidate region for a current region being coded within the array of information samples, wherein the current region is one of a plurality of regions obtained by dividing the array of information samples, and the current region has a first coding parameter associated therewith; and

a second coding parameter associated with the selected candidate region, wherein the first coding parameter is copied or computed from the second coding parameter and used to reconstruct the current region, wherein computing the first coding parameter is based on a prediction of the first coding parameter using the second coding parameter and a prediction residual of the first coding parameter.

17. The non-transitory computer readable medium of claim 16, wherein the candidate identifier is entropy encoded using context modeling based on a single probability model.

18. The non-transitory computer readable medium of claim 16, wherein the set of candidate regions is identified with respect to the current region.

19. The non-transitory computer readable medium of claim 16, wherein the candidate identifier is inserted into the data stream when the set of candidate regions do not have an identical coding parameter.

20. The non-transitory computer readable medium of claim 16, the data stream further comprising a maximum region size and multi-tree subdivision information associated with the array of information samples, wherein the plurality of regions is obtained by:

partitioning the array of information samples into a first set of regions in accordance with the maximum region size, and sub-partitioning at least a subset of the first set of regions into a set of sub-regions based on the multi-tree subdivision information.

21. The non-transitory computer readable medium of claim 16, wherein the array of information samples includes depth information.

22. The non-transitory computer readable medium of claim 16, wherein the array of information samples is one of samples arrays related to different color components which form color planes of a picture, and the different color planes of the picture are coded into the data stream independently.

23. An encoder for encoding an array of information samples into a data stream, the encoder comprising:

a sub-divider configured for dividing the array of information samples into a plurality of regions; and

a data stream generator configured for;

encoding, into the data stream, a candidate identifier that identifies a specific one of a set of candidate regions as a selected candidate region for a current region being encoded within the array of information samples, wherein the current region is one of a plurality of regions obtained by dividing the array of information samples,

determining whether the current region is to be reconstructed by copying or computing a first coding parameter based on a second coding parameter associated with the selected candidate region,

computing, if a determination is to compute, a prediction of the first coding parameter based on the second coding parameter,

determining a prediction residual of the first coding parameter based on the first coding parameter and the prediction of the first coding parameter, and

encoding, into the data stream, the prediction residual and the second coding parameter.

24. The encoder of claim 23, further comprising an entropy encoder configured for entropy encoding the candidate identifier using context modeling based on a single probability model.

25. The encoder of claim 23, wherein the data stream generator is further configured for encoding, into the data stream, the candidate identifier when the set of candidate regions do not have an identical coding parameter.

26. The encoder of claim 23, wherein the sub-divider is further configured for dividing the array of information samples into the plurality of regions by:

partitioning the array of information samples into a first set of regions in accordance with a maximum region size; and

sub-partitioning at least a subset of the first set of regions into a set of sub-regions based on the multi-tree subdivision information associated therewith.

27. The encoder of claim 23, wherein the array of information samples includes depth information.

28. The encoder of claim 23, wherein the array of information samples comprises an array of luma samples along with two arrays of chroma samples per frame, wherein a first scaling factor for a spatial resolution of the arrays of chroma samples relative to the array of luma samples in the horizontal direction differs from a second scaling factor for a spatial resolution of the arrays of chroma samples relative to the array of luma samples in the vertical direction.

29. The encoder of claim 23, wherein the array of information samples is one of samples arrays related to different color components which form color planes of a picture, and the encoder is configured to encode the different color planes of the picture independently.