Entropy encoding and decoding scheme

US10826524B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10826524-B2
Application numberUS-202016779851-A
CountryUS
Kind codeB2
Filing dateFeb 3, 2020
Priority dateJan 14, 2011
Publication dateNov 3, 2020
Grant dateNov 3, 2020

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Abstract

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Decomposing a value range of the respective syntax elements into a sequence of n partitions with coding the components of z laying within the respective partitions separately with at least one by VLC coding and with at least one by PIPE or entropy coding is used to greatly increase the compression efficiency at a moderate coding overhead since the coding scheme used may be better adapted to the syntax element statistics. Accordingly, syntax elements are decomposed into a respective number n of source symbols si with i=1 . . . n, the respective number n of source symbols depending on as to which of a sequence of n partitions into which a value range of the respective syntax elements is sub-divided, a value z of the respective syntax elements falls into, so that a sum of values of the respective number of source symbols si yields z, and, if n>1, for all i=1 . . . n−1, the value of si corresponds to a range of the ith partition.

First claim

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The invention claimed is: 1. An apparatus for decoding comprising: a symbol decoder configured to obtain, based on codewords from a data stream, a first sequence of source symbols and a second sequence of source symbols, wherein source symbols of the first and second sequences are related to motion vectors or level values of transform coefficients of a transform coefficient block, wherein the symbol decoder is configured to obtain a first source symbol of the first sequence using a Rice code and a second source symbol of the first sequence using an Exp-Golomb code; and a composer configured to: compose a sequence of syntax elements having a value range which is sub-divided into a plurality of disjoint portions including at least three portions by, for each syntax element: obtaining a set of source symbols from the first and second sequences based on a portion of the plurality of disjoint portions associated with the syntax element, and combining values of the source symbols of the set to determine the value of the syntax element; and adapt one or more limits between the plurality of disjoint portions according to previously obtained source symbols. 2. The apparatus of claim 1 , wherein the symbol decoder comprises: a first decoder configured to: receive a first portion of the data stream, and reconstruct source symbols of the first sequence of source symbols from codewords of the first portion of the data stream; and a second decoder configured to: receive a second portion of the data stream, and reconstruct source symbols of the second sequence of source symbols from codewords of the second portion of the data stream. 3. The apparatus of claim 1 , wherein a source symbol in the second sequence of source symbols corresponds to a first-ordered portion in the plurality of disjoint portions, and the plurality of disjoint portions is arranged such that a first portion covers higher values of the value range than a second portion. 4. The apparatus of claim 1 , wherein the source symbols from the first sequence and the source symbols from the second sequence correspond to different portions. 5. The apparatus of claim 1 , wherein source symbols of the first and second sequences are related to absolute level values of transform coefficients of a transform coefficient block. 6. The apparatus of claim 1 , wherein the apparatus is at least a portion of a programmable logic device, a programmable gate array, a microprocessor, a computer or an electronic circuit. 7. The apparatus of claim 2 , wherein one of the first decoder and the second decoder is configured to use arithmetic coding to reconstruct the source symbols, and the other of the first decoder and the second decoder is configured to use Golomb-Rice coding to reconstruct the source symbols. 8. The apparatus of claim 1 , the composer is configured to adapt at least one limit between the plurality of disjoint portions during composing absolute transform coefficient levels of the transform coefficients of the transform coefficient block based on at least one of: a previously reconstructed absolute transform coefficient level of a transform coefficient preceding in a scan order, a position of a current absolute transform coefficient level to be composed in the scan order, an evaluation of previously reconstructed absolute transform coefficient levels of transform coefficients spatially neighboring the position of the current absolute transform coefficient level to be composed, and an evaluation of previously reconstructed absolute transform coefficient levels of transform coefficients neighboring according to the scan order the position of the current absolute transform coefficient level to be composed. 9. An apparatus for encoding comprising: a decomposer configured to: receive a sequence of syntax elements having a value range which is sub-divided into a plurality of disjoint portions including at least three portions, wherein the syntax elements of the sequence are related to motion vectors or level values of transform coefficients of a transform coefficient block, and obtain a sequence of source symbols based on the sequence of syntax elements by decomposing each syntax element into a corresponding set of source symbols based on a portion of the plurality of disjoint portions associated with the syntax element, such that a combination of values of the source symbols of the set yields the value of the syntax element; and a sub-divider configured to: receive the sequence of source symbols, and sub-divide the sequence of source symbols into a first sequence of source symbols and a second sequence of source symbols, wherein a first source symbol of the first sequence is encoded using a Rice code and a second source symbol of the first sequence is encoded using an Exp-Golomb code, and wherein the decomposer is configured to adapt one or more limits between the plurality of disjoint portions according to one or more previously obtained source symbols. 10. The apparatus of claim 9 , further comprising: a first encoder configured to encode the source symbols of the first sequence; and a second encoder configured to encode the source symbols of the second sequence. 11. The apparatus of claim 9 , wherein a source symbol in the second sequence of source symbols corresponds to a first-ordered portion in the plurality of disjoint portions, and the plurality of disjoint portions is arranged such that a first portion covers higher values of the value range than a second portion. 12. The apparatus of claim 10 , wherein the first encoder or the second encoder is further configured to encode a scaling factor. 13. The apparatus of claim 9 , wherein the source symbols from the first sequence and the source symbols from the second sequence correspond to different portions of the plurality of disjoint portions. 14. The apparatus of claim 10 , wherein one of the first encoder and the second encoder is configured to use arithmetic coding to encode the source symbols, and the other of the first decoder and the second decoder is configured to use Golomb-Rice coding to encode the source symbols. 15. The apparatus of claim 9 , wherein the apparatus is at least a portion of a programmable logic device, a programmable gate array, a microprocessor, a computer or an electronic circuit. 16. A non-transitory computer-readable medium for storing video data, comprising: a data stream stored in the non-transitory computer-readable medium and comprising data associated with a first sequence of source symbols and a second sequence of source symbols, wherein the source symbols of the first and second sequences are related to motion vectors or level values of transform coefficients of a transform coefficient block, and the source symbols are obtained based on a sequence of syntax elements having a value range which is sub-divided into a plurality of disjoint portions including at least three portions by executing operations using a processor, the operations including: decomposing each syntax element into a corresponding set of source symbols based on a portion of the plurality of disjoint portions associated with the syntax element, such that a combination of values of the source symbols of the set yields the value of the syntax element, and adapting one or more limits between the plurality of disjoint portions according to one or more previously obtained source symbols, wherein a first source symbol of the first sequence is encoded using a Rice code and a second source symbol of the first sequence is encoded using an Exp-Golomb code. 17. The non-t

Assignees

Inventors

Classifications

  • H04N19/13Primary

    Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC] · CPC title

  • characterised by syntax aspects related to video coding, e.g. related to compression standards · CPC title

  • H03M7/40Primary

    Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code · CPC title

  • Prefix coding · CPC title

  • Compression Theory, e.g. compression of random number, repeated compression · CPC title

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What does patent US10826524B2 cover?
Decomposing a value range of the respective syntax elements into a sequence of n partitions with coding the components of z laying within the respective partitions separately with at least one by VLC coding and with at least one by PIPE or entropy coding is used to greatly increase the compression efficiency at a moderate coding overhead since the coding scheme used may be better adapted to the…
Who is the assignee on this patent?
Ge Video Compression Llc
What technology area does this patent fall under?
Primary CPC classification H04N19/13. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Nov 03 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).