Performing transform dependent de-blocking filtering
US-9185404-B2 · Nov 10, 2015 · US
US2016353108A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016353108-A1 |
| Application number | US-201615166068-A |
| Country | US |
| Kind code | A1 |
| Filing date | May 26, 2016 |
| Priority date | May 29, 2015 |
| Publication date | Dec 1, 2016 |
| Grant date | — |
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An example method of entropy coding video data includes obtaining a pre-defined initialization value for a context of a plurality of contexts used in a context-adaptive entropy coding process to entropy code a value for a syntax element in a slice of the video data, wherein the pre-defined initialization value is stored with N-bit precision; determining, using a look-up table and based on the pre-defined initialization value, an initial probability state of the context for the slice of the video data, wherein a number of possible probability states for the context is greater than two raised to the power of N; and entropy coding, based on the initial probability state of the context, a bin of the value for the syntax element.
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What is claimed is: 1 . A method of entropy coding video data, the method comprising: obtaining a pre-defined initialization value for a context of a plurality of contexts used in a context-adaptive entropy coding process to entropy code a value for a syntax element in a slice of the video data, wherein the pre-defined initialization value is stored with N-bit precision; determining, based on the pre-defined initialization value, an initial probability state of the context for the slice of the video data, wherein a number of possible probability states for the context is greater than two raised to the power of N; and entropy coding, based on the initial probability state of the context, a bin of the value for the syntax element. 2 . The method of claim 1 , further comprising: determining, based on the pre-defined initialization value, a slope value and an offset value, wherein determining the initial probability state comprises: determining an intermediate value based on the slope value, the offset value, and a quantization parameter of the slice of the video data; and mapping, using a look-up table, the intermediate value to the initial probability state. 3 . The method of claim 2 , wherein the look-up table includes a number of entries that is less than or equal to two raised to the power of N. 4 . The method of claim 3 , wherein the number of entries is equal to a number of possible values of the intermediate value. 5 . The method of claim 1 , wherein determining the initial probability state of the context comprises determining the initial probability state of the context using a look-up table, and wherein values in the look-up table are defined in accordance with the following equation: MappedProb[ i ]=Ceil(2 M *prob[ i ]+offset) where MappedProb[i] is the ith value in the look up table, prob[i] represents the ith value in a table that represents a set of possible probabilities of a one symbol, two raised to the power of M represents the number of possible probability states for the context, and Ceil(x) is a function that denotes the smallest integer greater than or equal to x. 6 . The method of claim 5 , wherein prob[i] represents an ith possible probability of a 1 symbol. 7 . The method of claim 5 , wherein the number of possible probability states for the context is greater than or equal to two raised to the power of N. 8 . The method of claim 5 , wherein N is eight and the number of possible probability states for the context is two raised to the power of 15. 9 . The method of claim 5 , wherein offset is equal to 0.5 or 0. 10 . The method of claim 1 , further comprising: determining, based on the pre-defined initialization value, a slope value and an offset value, wherein determining the initial probability state comprises: determining an intermediate value based on the slope value, the offset value, and a quantization parameter of the slice of the video data; and determining, using a mapping function between intermediate values and initial probability states, the initial probability state based on the intermediate value. 11 . The method of claim 1 , wherein entropy coding comprises entropy encoding the bin. 12 . The method of claim 1 , wherein entropy coding comprises entropy decoding the bin. 13 . The method of claim 1 , wherein the context-adaptive entropy coding process comprises a context-adaptive binary arithmetic coding (CABAC) process, or a context-adaptive variable length coding (CAVLC) process. 14 . An apparatus for entropy coding of video data, the apparatus comprising: a memory configured to store a plurality of contexts used in a context-adaptive entropy coding process to entropy code a value for a syntax element in a slice of the video data; and one or more processors configured to: obtain a pre-defined initialization value for a context of the plurality of contexts, wherein the pre-defined initialization value is stored with N-bit precision; determine, based on the pre-defined initialization value, an initial probability state of the context for the slice of the video data, wherein a number of possible probability states for the context is greater than two raised to the power of N; and entropy code, based on the initial probability state of the context, a bin of the value for the syntax element 15 . The apparatus of claim 14 , wherein the one or more processors are further configured to: determine, based on the pre-defined initialization value, a slope value and an offset value, wherein, to determine the initial probability state, the one or more processors are configured to: determine an intermediate value based on the slope value, the offset value, and a quantization parameter of the slice of the video data; and map, using a look-up table, the intermediate value to the initial probability state. 16 . The apparatus of claim 15 , wherein the look-up table includes a number of entries that is less than or equal to two raised to the power of N. 17 . The apparatus of claim 16 , wherein the number of entries is equal to a number of possible values of the intermediate value. 18 . The apparatus of claim 14 , wherein, to determine the initial probability state of the context, the one or more processors are configured to use a look-up table, and wherein values in the look-up table are defined in accordance with the following equation: MappedProb[ i ]=Ceil(2 M *prob[ i ]+offset) where MappedProb[i] is the ith value in the look up table, prob[i] represents the ith value in a table that represents a set of possible probabilities of a one symbol, two raised to the power of M represents the number of possible probability states for the context, and Ceil(x) is a function that denotes the smallest integer greater than or equal to x. 19 . The apparatus of claim 18 , wherein prob[i] represents an ith possible probability of a 1 symbol. 20 . The apparatus of claim 18 , wherein the number of possible probability states for the context is greater than or equal to two raised to the power of N. 21 . The apparatus of claim 18 , wherein N is eight and the number of possible probability states for the context is two raised to the power of 15. 22 . The apparatus of claim 18 , wherein offset is equal to 0.5 or 0. 23 . The apparatus of claim 14 , wherein the one or more processors are further configured to: determine, based on the pre-defined initialization value, a slope value and an offset value, wherein, to determine the initial probability state, the one or more processors are configured to: determine an intermediate value based on the slope value, the offset value, and a quantization parameter of the slice of the video data; and determine, using a mapping function between intermediate values and initial probability states, the initial probability state based on the intermediate value. 24 . The apparatus of claim 14 , wherein, to entropy code, the one or more processors are configured to entropy encode the bin. 25 . The apparatus of claim 14 , wherein, to entropy code, the one or more processors are configured to entropy decode the bin. 26 . The apparatus of claim 14 , wherein the context-adaptive entropy coding process comprises a context-adaptive binary arithmetic coding (CABAC) process, or a context-adaptive variable length coding (CAVLC) process. 27 . The apparatus of claim 14 ,
characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation (H04N19/635 takes precedence) · CPC title
characterised by syntax aspects related to video coding, e.g. related to compression standards · CPC title
the region being a slice, e.g. a line of blocks or a group of blocks · CPC title
Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability · CPC title
the unit being bits, e.g. of the compressed video stream · CPC title
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