CN107948659A - For the adaptive energy consumption control strategies of HEVC SCC of game video content - Google Patents

For the adaptive energy consumption control strategies of HEVC SCC of game video content Download PDF

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CN107948659A
CN107948659A CN201711167098.XA CN201711167098A CN107948659A CN 107948659 A CN107948659 A CN 107948659A CN 201711167098 A CN201711167098 A CN 201711167098A CN 107948659 A CN107948659 A CN 107948659A
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msub
mtr
mtd
jud
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CN107948659B (en
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刘昱
方诚
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Tianjin University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/625Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102Methods 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
    • H04N19/12Selection from among a plurality of transforms or standards, e.g. selection between discrete cosine transform [DCT] and sub-band transform or selection between H.263 and H.264
    • H04N19/122Selection of transform size, e.g. 8x8 or 2x4x8 DCT; Selection of sub-band transforms of varying structure or type
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169Methods 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
    • H04N19/17Methods 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
    • H04N19/176Methods 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169Methods 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
    • H04N19/186Methods 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 colour or a chrominance component

Abstract

The invention discloses a kind of adaptive energy consumption control strategies of the HEVC SCC for game video content, and game video sequence image is divided into the block of 8x8, by series of preprocessing, sets the correspondence output valve of a block as Judb, all JudbDiscrimination matrix is formed, according to the element Jud in the size fusion discrimination matrix of input CUb, calculate the planarization of CU;Differentiated according to planarization, determine the region (similar natural image) of color complexity and very flat region.The adaptive energy consumption control strategies of the HEVC SCC for game video content of the present invention, the algorithm can improve the code rate for SC images coding, and the scramble time is reduced on the premise of coding quality is less influenced.

Description

For the adaptive energy consumption control strategies of HEVC-SCC of game video content
Technical field
The present invention relates to technical field of video coding, more particularly to a kind of coding standard for Screen Content The energy consumption control strategy of (the extension SCC of HEVC).
Background technology
SC images are refered in particular to by computer-generated image, and the continuous development recently as video content causes SC images to get over More to go deep into the life of people.In January, 2014, MPEG Requirements subgroup have been issued to screen content The demand (i.e. Call for Proposals, CfP) of coding, and finally HEVC Screen have been issued in July, 2014 First part of draft of Content Coding (HEVC-SCC).Four new coding works are mainly added on the basis of HEVC Tool:Intra Block Copy;Palette Mode (pallet mode);Adaptive Colour Transform; Adaptive Motion Vector Resolution.
Compared to natural image, the color category meeting much less of SC images, that is, the pixel value in certain area are past It is past to have larger repeatability and similitude.If appropriate quantization can be carried out, the color in a coding unit (CU) tends to Show as a few peak value.The encoder that pallet mode is designed aiming at this characteristic of SC, it can be analyzed in CU Each pixel and it is quantified, select several representative colors generation palettes, and each color is assigned Give a pointer.Each color is represented to be made of tri- kinds of components of RGB or YUV.It is not belonging to represent indivedual face of color after quantifying Color is noted as escape pixel, these pixel values and its pointer can be encoded directly.Pointer maps in palette return CU, Pixel in CU is represented to be formed a CU color pointer figure with pointer value, and traverse scanning and entropy volume are carried out to this figure Code.But the complexity of pallet mode is higher, particularly in face of the complex situation of color category, such as game true to nature and Animated film, the natural image part in mixed image, the generation and prediction of palette all can be more difficult.
Now, this live video content of playing becomes more and more popular, but without people to this SC video of playing Content carried out experiment, therefore of the invention this proposes a kind of fast algorithm to game video content.
The content of the invention
The present invention seeks to be a kind of offer adaptive energy consumption control strategies of HEVC-SCC for game video content, according to Differentiate according to specific cycle tests, determine the region (similar natural image) of color complexity and very flat area Domain, and both regions are closed with the policing algorithm of pallet mode.
A kind of adaptive energy consumption control strategies of HEVC-SCC for game video content of the present invention, including following step Suddenly:
Step 1, pending game video sequence image is inputted;
Step 2, the monochrome information of game video sequence image image is obtained;
Step 3, each two field picture of game video sequence is averagely divided into the image block of 8 × 8 sizes;
Step 4, dct transform is carried out to weigh its color complexity to each piece, obtain the absolute value a of DCT coefficient;
Step 5, two parameters i and k are defined;I is constant, is a threshold value, and for being compared with a, k represents a block Planarization;
Step 6,0≤a of satisfaction≤i is judged whether.If 0≤a≤i, i.e., when a is 0 or very small, k values accumulation 1;If absolutely I is more than to value a, k values remain unchanged
Step 7, the relevant Upper threshold upK of average value aveK and Lower Threshold with all k values in a two field picture are calculated lowK;Specific formula is as follows:
Wherein, α and β represents two weighted values, and pixX, pixY represent the horizontal pixel point number of a two field picture and indulge respectively To pixel number, k1+k2+L+knumAll 8 × 8 pieces of corresponding k values in this frame are represented, num represents 8x8 in a two field picture The number of block;
Step 8, the correspondence output valve of a block is set as Judb, all JudbForm discrimination matrix;JudbSpecific meter Calculating formula is:
By k and upK, lowK compares:When the k values of a 8x8 block are more than upK, then this block corresponds to output valve JudbFor 0; When the k values of a block are less than lowK, then output valve Jud is corresponded tobFor 1;
Step 9, the element Jud in the size fusion discrimination matrix of input CUb:Amalgamation mode is to all JudbInto Row weighted average;The planarization calculation formula of CU is as follows:
Wherein, Scu×ScuRepresenting the size of CU, n represents that this CU has the block of several 8x8, and m represents to merge later number, It is exactly the planarization of this CU;
Step 10, judge whether to meet 0 < m < 1.If meeting 0 < m < 1, the default palette pattern is enabled;It is if discontented Foot, i.e., (as known to above-mentioned steps, m can not possibly be more than 1 or less than 0), then close pallet mode when current m is 1 or 0.
Compared with prior art, the adaptive energy consumption control strategies of the HEVC-SCC for game video content of the invention, The algorithm can improve the code rate for SC images coding, when reducing coding on the premise of less influencing coding quality Between.
Brief description of the drawings
Fig. 1 is the overall flow of the adaptive energy consumption control strategies of the HEVC-SCC for game video content of the present invention Figure.
Embodiment
Embodiments of the present invention are described in further detail below in conjunction with attached drawing.
The Integral Thought of the present invention judges the color complexity of image, and the region higher to color complexity and extreme are flat Region skip pallet mode, it is on the contrary then the default palette pattern can be enabled.
As shown in Figure 1, in a specific embodiment, various types of game video cycle tests are collected, respectively to The sequence that one step is collected open and close experiment and the record of the default palette pattern;The present invention comprises the following steps:
Step 1, pending image is inputted;
Step 2, the monochrome information of image is obtained;
Step 3, image is divided into the block of 8x8;
Step 4, dct transform is carried out to weigh its color complexity to each piece, obtain the absolute value a of DCT coefficient;
Step 5, two parameters i and k are defined;I is constant, is a threshold value, and for being compared with a, k represents a block Planarization;
Step 6,0≤a of satisfaction≤i is judged whether.If 0≤a≤i, i.e., when a is 0 or very small, k values accumulation 1;If absolutely I is more than to value a, k values remain unchanged;
Step 7, the relevant Upper threshold upK of average value aveK and Lower Threshold with all k values in a two field picture are calculated lowK;Specific formula is as follows:
Wherein, α and β represents two weighted values, and pixX, pixY represent the horizontal pixel point number of a two field picture and indulge respectively To pixel number, k1+k2+L+knumAll 8 × 8 pieces of corresponding k values in this frame are represented, num represents 8x8 in a two field picture The number of block;
Step 8, the correspondence output valve of a block is set as Judb, all JudbForm discrimination matrix;JudbSpecific meter Calculating formula is:
By k and upK, lowK compares:When the k values of a 8x8 block are more than upK, then this block corresponds to output valve JudbFor 0; When the k values of a block are less than lowK, then output valve Jud is corresponded tobFor 1;
Step 9, the element Jud in the size fusion discrimination matrix of input CUb:Amalgamation mode is to all JudbInto Row weighted average;The planarization calculation formula of CU is as follows:
Wherein, Scu×ScuRepresenting the size of CU, n represents that this CU has the block of several 8x8, and m represents to merge later number, It is exactly the planarization of this CU;
Step 10, judge whether to meet 0 < m < 1.If meeting 0 < m < 1, the default palette pattern is enabled;It is if discontented Foot, i.e., (as known to above-mentioned steps, m can not possibly be more than 1 or less than 0), then perform step 13, close toning when current m is 1 or 0 Plate mode (skips pallet mode).
It is the description in relation to testing below.Encoder used in experiment is HM-16.6+SCM-5.0, and experiment porch is Intel Core i7CPU-2.67GHz,6GRAM.Experiment condition uses all-intra-main-scc configuration files.QP is set For 22,27,32,37.Constant value i is set to 8, aveKupAnd aveKlow62 and 48 are set to, so parameter thdK values are 55.Work as aveK >=55, α are set to 0.7;As aveK < 55, α is set to 0.75, β and is set to 0.1.As table 1 and table 2 show cycle tests.The survey of table 1 The all game video sequences of sequence are tried, the cycle tests of table 2 is disclosed cycle tests.Experimental result is as shown in table 3, table 4.
Table 1, game video sequence
Sequancename Resolution FPS YUV
XXL 1920x1080 25 4:2:0
KYBC8CC 1280x720 25 4:2:0
WZRYZDX 1280x720 25 4:2:0
NBA2K17 1280x720 25 4:2:0
ChinaSpeed 1024x768 30 4:2:0
Table 2, disclosed test video sequence
Sequancename Category Resolution FPS YUV
MissionControlClip3 M 1920x1080 60 4:4:4
Kimono1 CC 1920x1080 24 4:4:4
sc_Robot A 1280x720 60 4:4:4
sc_Programming TGM 1280x720 60 4:4:4
sc_SlideShow TGM 1280x720 20 4:4:4
sc_Web_Browsing TGM 1280x720 30 4:4:4
Table 3, game video sequential experimentation result
Table 4, open test video sequence experimental result
The BDPSNR gaps of all cycle tests are all in below 0.01dB.To cycle tests collection of playing, the present invention is with opening The default palette pattern is compared, BDPSNR mean difference 0.0259dB, and the time saves 15.715%;To disclosed cycle tests collection, BDPSNR mean difference 0.0402dB, time save 8.319%.Experimental result is preferable.
The present invention the once anticipation based on video content has been carried out before pallet mode is carried out, for video content compared with Part for complexity or close to natural image, skips pallet mode, when reducing coding on the premise of ensureing coding quality Between and required energy consumption.

Claims (1)

1. the adaptive energy consumption control strategies of a kind of HEVC-SCC for game video content, it is characterised in that including following step Suddenly:
Step (1), inputs pending game video sequence image;
Step (2), obtains the monochrome information of game video sequence image;
Step (3), the image block of 8 × 8 sizes is averagely divided into by each two field picture of game video sequence;
Step (4), carries out dct transform to weigh its color complexity to each piece, obtains the absolute value a of DCT coefficient;
Step (5), defines two parameters i and k;I is constant, is a threshold value, for being compared with a, k one block of expression Planarization;
Step (6), judges whether 0≤a of satisfaction≤i.If 0≤a≤i, i.e., when a is 0 or very small, k values accumulation 1;If definitely Value a is more than i, and k values remain unchanged
Step (7), calculates the average value aveK relevant Upper threshold upK and Lower Threshold lowK with all k values in a two field picture;Tool Body formula is as follows:
<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mi>a</mi> <mi>v</mi> <mi>e</mi> <mi>K</mi> <mo>=</mo> <mfrac> <mrow> <msub> <mi>k</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>k</mi> <mn>2</mn> </msub> <mo>+</mo> <mi>L</mi> <mo>+</mo> <msub> <mi>k</mi> <mrow> <mi>n</mi> <mi>u</mi> <mi>m</mi> </mrow> </msub> </mrow> <mrow> <mi>n</mi> <mi>u</mi> <mi>m</mi> </mrow> </mfrac> </mtd> </mtr> <mtr> <mtd> <mi>u</mi> <mi>p</mi> <mi>K</mi> <mo>=</mo> <mi>a</mi> <mi>v</mi> <mi>e</mi> <mi>K</mi> <mo>&amp;times;</mo> <mi>&amp;alpha;</mi> </mtd> </mtr> <mtr> <mtd> <mi>l</mi> <mi>o</mi> <mi>w</mi> <mi>K</mi> <mo>=</mo> <mi>a</mi> <mi>v</mi> <mi>e</mi> <mi>K</mi> <mo>&amp;times;</mo> <mi>&amp;beta;</mi> </mtd> </mtr> <mtr> <mtd> <mi>n</mi> <mi>u</mi> <mi>m</mi> <mo>=</mo> <mfrac> <mrow> <mi>p</mi> <mi>i</mi> <mi>x</mi> <mi>X</mi> <mo>&amp;times;</mo> <mi>p</mi> <mi>i</mi> <mi>x</mi> <mi>Y</mi> </mrow> <mrow> <mn>8</mn> <mo>&amp;times;</mo> <mn>8</mn> </mrow> </mfrac> </mtd> </mtr> </mtable> </mfenced>
Wherein, α and β represents two weighted values, and pixX, pixY represent the horizontal pixel point number of a two field picture and longitudinal picture respectively Vegetarian refreshments number, k1+k2+L+knumAll 8 × 8 pieces of corresponding k values in this frame are represented, num represents 8x8 blocks in a two field picture Number;
Step (8), sets the correspondence output valve of a block as Judb, all JudbForm discrimination matrix;JudbSpecific calculating Formula is:
<mrow> <msub> <mi>Jud</mi> <mi>b</mi> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mn>0</mn> <mo>,</mo> <mi>k</mi> <mo>&gt;</mo> <mi>u</mi> <mi>p</mi> <mi>K</mi> </mtd> </mtr> <mtr> <mtd> <mn>0.5</mn> <mo>,</mo> <mi>u</mi> <mi>p</mi> <mi>K</mi> <mo>&amp;GreaterEqual;</mo> <mi>k</mi> <mo>&gt;</mo> <mi>l</mi> <mi>o</mi> <mi>w</mi> <mi>K</mi> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> <mo>,</mo> <mi>k</mi> <mo>&amp;le;</mo> <mi>l</mi> <mi>o</mi> <mi>w</mi> <mi>K</mi> </mtd> </mtr> </mtable> </mfenced> </mrow>
By k and upK, lowK compares:When the k values of a 8x8 block are more than upK, then this block corresponds to output valve JudbFor 0;When one The k values of block are less than lowK, then correspond to output valve JudbFor 1;
Step (9), according to the element Jud in the size fusion discrimination matrix of input CUb:Amalgamation mode is to all JudbCarry out Weighted average;The planarization calculation formula of CU is as follows:
<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mi>m</mi> <mo>=</mo> <mfrac> <mrow> <msub> <mi>Jud</mi> <mrow> <mi>b</mi> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>Jud</mi> <mrow> <mi>b</mi> <mn>2</mn> </mrow> </msub> <mo>+</mo> <mi>L</mi> <mo>+</mo> <msub> <mi>Jud</mi> <mrow> <mi>b</mi> <mi>n</mi> </mrow> </msub> </mrow> <mi>n</mi> </mfrac> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>n</mi> <mo>=</mo> <mfrac> <mrow> <msub> <mi>S</mi> <mrow> <mi>c</mi> <mi>u</mi> </mrow> </msub> <mo>&amp;times;</mo> <msub> <mi>S</mi> <mrow> <mi>c</mi> <mi>u</mi> </mrow> </msub> </mrow> <mrow> <mn>8</mn> <mo>&amp;times;</mo> <mn>8</mn> </mrow> </mfrac> </mrow> </mtd> </mtr> </mtable> </mfenced>
Wherein, Scu×ScuRepresent the size of CU, n represents that this CU has the block of several 8x8, and m represents to merge later number, that is, this The planarization of CU;
Step (10), judges whether to meet 0 < m < 1.If meeting 0 < m < 1, the default palette pattern is enabled;If not satisfied, When i.e. current m is 1 or 0, then pallet mode is closed.
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