EP1500281A2 - Kodierung von transformations-koeffizienten in bild- oder videokodierern - Google Patents
Kodierung von transformations-koeffizienten in bild- oder videokodierernInfo
- Publication number
- EP1500281A2 EP1500281A2 EP03725142A EP03725142A EP1500281A2 EP 1500281 A2 EP1500281 A2 EP 1500281A2 EP 03725142 A EP03725142 A EP 03725142A EP 03725142 A EP03725142 A EP 03725142A EP 1500281 A2 EP1500281 A2 EP 1500281A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- block
- significant
- coefficients
- transformation coefficients
- coding
- 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.)
- Withdrawn
Links
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
- H04N19/102—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
- H04N19/13—Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
- H03M7/4006—Conversion to or from arithmetic code
-
- 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
- H04N19/129—Scanning of coding units, e.g. zig-zag scan of transform coefficients or flexible macroblock ordering [FMO]
-
- 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
-
- 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
- H04N19/10—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
- H04N19/18—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 a set of transform coefficients
-
- 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
- H04N19/90—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
- H04N19/91—Entropy coding, e.g. variable length coding [VLC] or arithmetic 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
- H04N19/90—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
- H04N19/93—Run-length coding
Definitions
- decoders as well as a corresponding computer program and a corresponding computer-readable storage medium
- the present invention describes a method and an arrangement for coding transformation coefficients in image and / or video encoders and decoders, as well as a corresponding computer program and a corresponding computer-readable storage medium, which in particular as a new efficient method for binary arithmetic coding of transformation coefficients in the field of video coding (CABAC in H.264 / AVC, see [1]).
- the blocks of quantized transformation coefficients (levels) are identified by a defined scan process mapped a vector which is encoded by using a run length coding and a subsequent mapping to code words of variable length.
- variable length code words are assigned to two-dimensional events (RUN, LEVEL), where LEVEL represents the quantized value of a (significant) transformation coefficient that is not quantized to zero; the run length RUN indicates the number of successive, zero-quantified (non-significant) transformation coefficients which lie in the vector of transformation coefficients immediately before the current significant transformation coefficient.
- variable length code words are defined for the two special events EOB and ESCAPE. While, the EOB event indicates that none If there are further significant transformation coefficients in the block, the ESCAPE event signals that the existing event (RUN, LEVEL) cannot be represented by the defined alphabet of code words of variable length. In this case, the symbols RUN and LEVEL are coded by code words of fixed length.
- code words of variable length are assigned on the basis of 3-dimensional events (LAST, RUN, LEVEL), with the binary symbol LAST indicating whether the current significant transform coefficient is the last significant coefficient within the block, or if there are other significant transform coefficients to follow.
- 3-dimensional events LAST, RUN, LEVEL
- ESCAPE event is used analogously to MPEG-2, whereby the binary symbol LAST is encoded in addition to RUN and LEVEL.
- the coding of the transformation coefficients implemented in MPEG-2, H.263 and MPEG-4 has the following disadvantages: Only one code word of integer length can be assigned to each coding event, and there is no efficient coding of events with probabilities greater than 0.5. - The use of a fixed table for mapping the coding events onto the code words of variable length for all transformation coefficients within a block does not take into account the position or frequency-dependent symbol statistics.
- Annex E of the H.263 standard specifies an optional, non-adaptive arithmetic coding, in which different, predefined model probability distributions are used - one for the first, second and third event (LAST, RUN, LEVEL) / ESCAPE another for all subsequent events (LAST, RUN, LEVEL) / ESCAPE of a block of transformation coefficients, - as well as another one for the symbols LAST, RUN and LEVEL, which are coded after an ESCAPE event.
- This optional arithmetic coding does not significantly increase the coding efficiency for the following reasons: -
- the advantage of arithmetic coding that a coding event can be assigned a code word of non-integer length has the form ( LAST, RUN, LEVEL) hardly affect coding efficiency.
- the advantage of using different probability distributions is eliminated in that no adaptation to the actually existing symbol statistics is possible.
- H.264 / AVC specifies a context-adaptive method based on variable length code words for the coding of transformation coefficients as the standard method for entropy coding.
- the coding of a block of transformation coefficients is determined by the following features: -
- the COEFF_TOKEN symbol determines both the number of significant coefficients within a block and the number of consecutive coefficients quantized to one at the end of the vector of transformation coefficients.
- one of five defined code word tables is selected for the coding.
- the coding of the values (levels) of the remaining significant transformation coefficients takes place in reverse scan order by means of a combined prefix-suffix code word. If the number of significant transformation coefficients is smaller than the number of transformation coefficients for the corresponding block, a symbol TOTAL_ZEROS is encoded, which represents the number of transformation coefficients quantized to zero, which lie before the last significant coefficient in the coefficient vector, indicates. Eighteen code word tables were specified for this, which are switched depending on the number of significant coefficients and the block type.
- a possible solution to avoid the disadvantages of the known methods for coding transformation coefficients in block-based image and video encoders is a combination of adaptive arithmetic coding and a suitable context formation for utilizing the inter-symbol redundancies
- the increased computing effort of arithmetic coding compared to coding using code words of variable length is a disadvantage, in particular the possibility of efficient hardware and software implementation must be taken into account.
- the object of the invention is therefore a
- Video encoders and decoders and a corresponding one To provide a computer program and a corresponding computer-readable storage medium which remedy the abovementioned shortcomings and in particular keep the computing effort required for coding low.
- a particular advantage of the method according to the invention is that for blocks of (video) images containing significant transformation coefficients, the transformation coefficients are coded such that the positions of significant transformation coefficients in the block for each block in a scan Block and then in reverse scan order - starting with the last significant transformation coefficient within the block - the values (levels) of the significant transformation coefficients are determined and encoded.
- a preferred embodiment of the method according to the invention is characterized in that each significant transformation coefficient of the block that differs from the last transformation coefficient of the block is identified by a one-bit symbol.
- a particular advantage of the method is that by transmitting a one-bit symbol SIG for each coefficient of a block and a one-bit symbol LAST for each significant coefficient of a block, a significance map is encoded, the transmission in scan - Order is made, SIG is used to identify significant coefficients and LAST indicates whether there are other significant transformation coefficients in the block.
- Another preferred embodiment of the method according to the invention provides that the modeling for the one-bit symbol CBP4, for the coding of the significance mapping and / or for the coding of the coefficient amounts takes place in a context-dependent manner. It is provided that block types of transformation coefficients are combined with comparable statistics to block categories.
- the amount (ABS) is indicated by a symbol in unary binarization or by a symbol having a prefix part and a suffix part, the prefix part consisting of ones and the suffix Part is coded in a 0 th order Exp Golomb code.
- An arrangement for coding transformation coefficients in image and / or video encoders and decoders is advantageously set up in such a way that it comprises at least one processor and / or chip which is (are) set up in such a way that coding of transformations -Coefficients can be carried out, with blocks of (video) images containing significant transformation coefficients, the transformation coefficients being coded such that the positions of significant transformation coefficients in the block and subsequently in Reverse scan order - starting with the last significant transformation coefficient within the block - the values (levels) of the significant transformation coefficients are determined and encoded.
- a computer program for coding transformation coefficients in image and / or video encoders and decoders is distinguished in that it enables a computer, after it has been loaded into the memory of the computer, to encode transformation coefficients, whereby significant ones Blocks of (video) images containing transformation coefficients the transformation coefficients are encoded in such a way that for each block in a scan the positions of significant transformation coefficients in the block and then in reverse scan order - starting with the last significant transformation coefficients within the block - the values (levels) of the significant transformation coefficients are determined and encoded.
- Such computer programs (for a fee or free of charge, freely accessible or password-protected) can be made available for download in a data or communication network.
- the computer programs provided in this way can then be used by a method in which a computer program according to claim 11 is downloaded from a network for data transmission, for example from the Internet, to a data processing device connected to the network.
- a computer-readable storage medium is advantageously used, on which a program is stored, which enables a computer after it has been loaded into the memory of the computer, a method for encoding transformation coefficients in image - and / or video coders and decoders, wherein blocks of (video) images containing significant transformation coefficients are encoded for the transformation coefficients such that the positions of significant transformation coefficients in for each block in a scan the block and then in reverse scan order - starting with the last significant transformation coefficient within the block - the values (levels) of the significant transformation coefficients are determined and encoded.
- the new method for coding transformation coefficients is characterized in particular by the following characteristic features: A two dimensional block of. Transformation coefficients are mapped to a one-dimensional vector by a scan.
- Coefficient counter number of significant coefficients
- RUN's number of non-significant coefficients in scan order
- the levels are coded in reverse scan order.
- FIG. 1 illustrates the basic principle of the coding of transformation coefficients according to the coding method according to the invention
- FIG. 2 shows two examples of the coding of the significance
- FIG. 1 illustrates the new coding method.
- CBP4 CBP4
- macroblock mode higher-level syntax elements
- the CBP4 symbol is zero if there are no significant coefficients in the block.
- a significance map is encoded that specifies the position (in scan order) of the significant transformation coefficients. The amounts and the signs of the significant coefficients are then transferred in reverse scan order.
- point 1 describes the context modeling for the binary arithmetic coding.
- the transformation coefficients of each block are mapped onto a vector using a scan process (for example a Zig-Zag scan).
- CBP4 is a one-bit symbol that indicates whether there are significant transform coefficients (non-zero transform coefficients) in a block. If the CBP4 symbol is zero, no further information is transmitted for the corresponding block. 1.3 The significance figure
- a significance map is encoded. This is done by transmitting a one-bit symbol (SIG) for each coefficient in scan order. If a corresponding significance symbol is one (significant coefficient), another one-bit symbol (LAST) is sent. This symbol indicates whether the current significant coefficient is the last significant coefficient within the block or if there are other significant coefficients to follow.
- FIG. 2 shows two examples of the described method for coding the significance mapping. Significance information (SIG, LAST) is never transmitted for the last scan position of a block. Was the transfer of the significance mapping not already carried out by a LAST
- the positions of the significant transformation coefficients within a block are clearly specified by the significance mapping.
- the exact values of the coefficients (levels) are coded using two coding symbols: ABS (magnitude of the coefficients) and SIGN (sign of the coefficients). While SIGN represents a one-bit symbol, a binarization according to FIG. 3 is used to encode the amounts of the coefficients (ABS). For coefficient amounts in the interval [1; 14] this binarization corresponds to a unary binarization.
- the binarization for coefficient amounts greater than 14 is composed of a prefix part consisting of 14 ones and a suffix part representing an 0th-order Exp-Golomb code for the symbol (ABS-15) ,
- the binarization does not include a representation for Coefficient amounts (ABS) equal to 0, since significant coefficients (non-zero coefficients) always have an amount (ABS) greater than or equal to one.
- the binarization composed of a prefix part and a suffix part consisting of a 0 th order Exp-Golomb code for coefficient amounts greater than 14 has the advantage that without loss of coding efficiency for all binary decisions of the suffix part A special non-adaptive context with the symbol probabilities 0.5 can be used, whereby the computational effort for the encoding and decoding can be reduced.
- the levels are encoded in reverse scan order, beginning with the last significant coefficient within a block -; this allows the formation of suitable contexts for binary arithmetic coding.
- C CBP4
- a and B denoting those neighboring blocks (left and top) of the block C under consideration
- Figure 5 can be assigned to the same block type.
- the following 6 block types are distinguished for this conditioning: Luma-DC, Luma-AC, Chroma-U-DC, Chroma-U-AC, Chroma-V-DC, and Chroma- V AC.
- CBP4 (X) is set to zero for the adjacent block X. If an adjacent block X (A or B) lies outside the image area or belongs to another slice, the corresponding value CBP4 (X) is replaced by a default value. A default value of one is used for INTRA-coded blocks and a default value of zero for INTER-coded blocks.
- max_koeff-1 different contexts are used for the coding of the symbols SIG and LAST for each block category (see FIG. 4).
- Max_koeff denotes the number of transformation coefficients for the corresponding block category (for H.264 / AVC, see Figure 4).
- the context number is always identified by the corresponding scan Given the position of the considered coefficient.
- 2xmax_koeff-2 contexts are used for coding the significance mapping.
- the binarization shown in FIG. 3 is used for coding the amounts of the significant transformation coefficients.
- the context numbers are assigned as follows: ctx_number_abs_lbin
- the values of the transformation coefficients are transmitted in the reverse scan order.
- the context number is determined by the number of already coded coefficients (in reverse scan order) with an amount ABS> 1, with a restriction to the maximum context number of 4 being made.
- the embodiment of the invention is not limited to the preferred exemplary embodiments specified above. Rather, a number of variants are conceivable which make use of the arrangement and method according to the invention even in the case of fundamentally different types.
- ITU-T Video coding for low bitrate communications
- ISO / IEC JTC1 "Coding of audio-visual objects - Part 2: Visual”
- ISO / IEC 14496-2 MPEG-4 visual Version.1
- ISO / IEC 14496-2 MPEG-4 visual Version.1
- ISO-IEC 14496-2 MPEG-4 visual Version.1
- ISO-IEC 14496-2 MPEG-4 visual Version.1
- CA. Gonzales "DCT coding of motion sequences including arithmetic coder", ISO-IEC / JTC1 / SC2 / WG8, MPEG 89/187, Aug. 1989.
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
- Compression Of Band Width Or Redundancy In Fax (AREA)
- Image Processing (AREA)
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP04016773A EP1467491B1 (de) | 2002-05-02 | 2003-05-02 | Arithmetische Codierung von Transformationskoeffizienten |
EP04020471A EP1487113B1 (de) | 2002-05-02 | 2003-05-02 | Kodierung und Dekodierung von Transformationskoeffizienten in Bild- oder Videokodierern |
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE10220961 | 2002-05-02 | ||
DE10220961 | 2002-05-02 | ||
PCT/EP2003/004656 WO2003094529A2 (de) | 2002-05-02 | 2003-05-02 | Verfahren von transformations-koeffizienten in bild-oder videokodierern |
Related Child Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP04020471A Division EP1487113B1 (de) | 2002-05-02 | 2003-05-02 | Kodierung und Dekodierung von Transformationskoeffizienten in Bild- oder Videokodierern |
EP04016773A Division EP1467491B1 (de) | 2002-05-02 | 2003-05-02 | Arithmetische Codierung von Transformationskoeffizienten |
Publications (1)
Publication Number | Publication Date |
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EP1500281A2 true EP1500281A2 (de) | 2005-01-26 |
Family
ID=29285282
Family Applications (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP03725142A Withdrawn EP1500281A2 (de) | 2002-05-02 | 2003-05-02 | Kodierung von transformations-koeffizienten in bild- oder videokodierern |
EP04016773A Expired - Lifetime EP1467491B1 (de) | 2002-05-02 | 2003-05-02 | Arithmetische Codierung von Transformationskoeffizienten |
EP04020471A Expired - Lifetime EP1487113B1 (de) | 2002-05-02 | 2003-05-02 | Kodierung und Dekodierung von Transformationskoeffizienten in Bild- oder Videokodierern |
Family Applications After (2)
Application Number | Title | Priority Date | Filing Date |
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EP04016773A Expired - Lifetime EP1467491B1 (de) | 2002-05-02 | 2003-05-02 | Arithmetische Codierung von Transformationskoeffizienten |
EP04020471A Expired - Lifetime EP1487113B1 (de) | 2002-05-02 | 2003-05-02 | Kodierung und Dekodierung von Transformationskoeffizienten in Bild- oder Videokodierern |
Country Status (11)
Country | Link |
---|---|
US (10) | US7702013B2 (de) |
EP (3) | EP1500281A2 (de) |
JP (4) | JP4313757B2 (de) |
KR (1) | KR100729270B1 (de) |
AT (2) | ATE343302T1 (de) |
DE (2) | DE50306371D1 (de) |
DK (2) | DK1467491T3 (de) |
ES (2) | ES2277174T3 (de) |
HK (2) | HK1070480A1 (de) |
PT (2) | PT1487113E (de) |
WO (1) | WO2003094529A2 (de) |
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