An efficient low-complexity block partition scheme for VVC intra coding

Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding ef...
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Autor*in:	Song, Yun [verfasserIn] Zeng, Biao Wang, Miaohui Deng, Zelin

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Versatile video coding QTMT Complexity reduction Video coding

Anmerkung:	© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021

Übergeordnetes Werk:	Enthalten in: Journal of real-time image processing - Berlin : Springer, 2006, 19(2021), 1 vom: 03. Okt., Seite 161-172
Übergeordnetes Werk:	volume:19 ; year:2021 ; number:1 ; day:03 ; month:10 ; pages:161-172

Links:	Volltext

DOI / URN:	10.1007/s11554-021-01174-z

Katalog-ID:	SPR046122966

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520			\|a Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding efficiency while cause much heavier computational complexity than High-Efficiency Video Coding (HEVC). In this paper, an efficient low-complexity CU partition method based on the texture characteristic is proposed to achieve a good trade-off between the coding efficiency and the complexity reduction. Specifically, the texture complexities of vertical and horizontal directions are quantitatively measured in terms of the sum of the mean absolute deviation (SMAD) of the sub-blocks. Then, the vertical and horizontal texture complexities are compared to eliminate some unlikely partition modes. Moreover, the threshold of directional SMAD ratios for choosing the texture direction is adjusted according to the quantization parameter (QP) to improve the prediction accuracy. Experimental results show that the proposed method achieves the average complexity reduction efficiency by 54.60% than the VVC test model (VTM). The implementation of the proposed method is publicly available at http://sites.google.com/site/wangmiaohui/ and http://github.com/csust-sonie/fastVVC_RTIP_2107.
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700	1		\|a Deng, Zelin \|4 aut
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allfields	10.1007/s11554-021-01174-z doi (DE-627)SPR046122966 (SPR)s11554-021-01174-z-e DE-627 ger DE-627 rakwb eng Song, Yun verfasserin aut An efficient low-complexity block partition scheme for VVC intra coding 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding efficiency while cause much heavier computational complexity than High-Efficiency Video Coding (HEVC). In this paper, an efficient low-complexity CU partition method based on the texture characteristic is proposed to achieve a good trade-off between the coding efficiency and the complexity reduction. Specifically, the texture complexities of vertical and horizontal directions are quantitatively measured in terms of the sum of the mean absolute deviation (SMAD) of the sub-blocks. Then, the vertical and horizontal texture complexities are compared to eliminate some unlikely partition modes. Moreover, the threshold of directional SMAD ratios for choosing the texture direction is adjusted according to the quantization parameter (QP) to improve the prediction accuracy. Experimental results show that the proposed method achieves the average complexity reduction efficiency by 54.60% than the VVC test model (VTM). The implementation of the proposed method is publicly available at http://sites.google.com/site/wangmiaohui/ and http://github.com/csust-sonie/fastVVC_RTIP_2107. Versatile video coding (dpeaa)DE-He213 QTMT (dpeaa)DE-He213 Complexity reduction (dpeaa)DE-He213 Video coding (dpeaa)DE-He213 Zeng, Biao aut Wang, Miaohui (orcid)0000-0003-1125-9299 aut Deng, Zelin aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 19(2021), 1 vom: 03. Okt., Seite 161-172 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:19 year:2021 number:1 day:03 month:10 pages:161-172 https://dx.doi.org/10.1007/s11554-021-01174-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 19 2021 1 03 10 161-172
spelling	10.1007/s11554-021-01174-z doi (DE-627)SPR046122966 (SPR)s11554-021-01174-z-e DE-627 ger DE-627 rakwb eng Song, Yun verfasserin aut An efficient low-complexity block partition scheme for VVC intra coding 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding efficiency while cause much heavier computational complexity than High-Efficiency Video Coding (HEVC). In this paper, an efficient low-complexity CU partition method based on the texture characteristic is proposed to achieve a good trade-off between the coding efficiency and the complexity reduction. Specifically, the texture complexities of vertical and horizontal directions are quantitatively measured in terms of the sum of the mean absolute deviation (SMAD) of the sub-blocks. Then, the vertical and horizontal texture complexities are compared to eliminate some unlikely partition modes. Moreover, the threshold of directional SMAD ratios for choosing the texture direction is adjusted according to the quantization parameter (QP) to improve the prediction accuracy. Experimental results show that the proposed method achieves the average complexity reduction efficiency by 54.60% than the VVC test model (VTM). The implementation of the proposed method is publicly available at http://sites.google.com/site/wangmiaohui/ and http://github.com/csust-sonie/fastVVC_RTIP_2107. Versatile video coding (dpeaa)DE-He213 QTMT (dpeaa)DE-He213 Complexity reduction (dpeaa)DE-He213 Video coding (dpeaa)DE-He213 Zeng, Biao aut Wang, Miaohui (orcid)0000-0003-1125-9299 aut Deng, Zelin aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 19(2021), 1 vom: 03. Okt., Seite 161-172 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:19 year:2021 number:1 day:03 month:10 pages:161-172 https://dx.doi.org/10.1007/s11554-021-01174-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 19 2021 1 03 10 161-172
allfields_unstemmed	10.1007/s11554-021-01174-z doi (DE-627)SPR046122966 (SPR)s11554-021-01174-z-e DE-627 ger DE-627 rakwb eng Song, Yun verfasserin aut An efficient low-complexity block partition scheme for VVC intra coding 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding efficiency while cause much heavier computational complexity than High-Efficiency Video Coding (HEVC). In this paper, an efficient low-complexity CU partition method based on the texture characteristic is proposed to achieve a good trade-off between the coding efficiency and the complexity reduction. Specifically, the texture complexities of vertical and horizontal directions are quantitatively measured in terms of the sum of the mean absolute deviation (SMAD) of the sub-blocks. Then, the vertical and horizontal texture complexities are compared to eliminate some unlikely partition modes. Moreover, the threshold of directional SMAD ratios for choosing the texture direction is adjusted according to the quantization parameter (QP) to improve the prediction accuracy. Experimental results show that the proposed method achieves the average complexity reduction efficiency by 54.60% than the VVC test model (VTM). The implementation of the proposed method is publicly available at http://sites.google.com/site/wangmiaohui/ and http://github.com/csust-sonie/fastVVC_RTIP_2107. Versatile video coding (dpeaa)DE-He213 QTMT (dpeaa)DE-He213 Complexity reduction (dpeaa)DE-He213 Video coding (dpeaa)DE-He213 Zeng, Biao aut Wang, Miaohui (orcid)0000-0003-1125-9299 aut Deng, Zelin aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 19(2021), 1 vom: 03. Okt., Seite 161-172 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:19 year:2021 number:1 day:03 month:10 pages:161-172 https://dx.doi.org/10.1007/s11554-021-01174-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 19 2021 1 03 10 161-172
allfieldsGer	10.1007/s11554-021-01174-z doi (DE-627)SPR046122966 (SPR)s11554-021-01174-z-e DE-627 ger DE-627 rakwb eng Song, Yun verfasserin aut An efficient low-complexity block partition scheme for VVC intra coding 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding efficiency while cause much heavier computational complexity than High-Efficiency Video Coding (HEVC). In this paper, an efficient low-complexity CU partition method based on the texture characteristic is proposed to achieve a good trade-off between the coding efficiency and the complexity reduction. Specifically, the texture complexities of vertical and horizontal directions are quantitatively measured in terms of the sum of the mean absolute deviation (SMAD) of the sub-blocks. Then, the vertical and horizontal texture complexities are compared to eliminate some unlikely partition modes. Moreover, the threshold of directional SMAD ratios for choosing the texture direction is adjusted according to the quantization parameter (QP) to improve the prediction accuracy. Experimental results show that the proposed method achieves the average complexity reduction efficiency by 54.60% than the VVC test model (VTM). The implementation of the proposed method is publicly available at http://sites.google.com/site/wangmiaohui/ and http://github.com/csust-sonie/fastVVC_RTIP_2107. Versatile video coding (dpeaa)DE-He213 QTMT (dpeaa)DE-He213 Complexity reduction (dpeaa)DE-He213 Video coding (dpeaa)DE-He213 Zeng, Biao aut Wang, Miaohui (orcid)0000-0003-1125-9299 aut Deng, Zelin aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 19(2021), 1 vom: 03. Okt., Seite 161-172 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:19 year:2021 number:1 day:03 month:10 pages:161-172 https://dx.doi.org/10.1007/s11554-021-01174-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 19 2021 1 03 10 161-172
allfieldsSound	10.1007/s11554-021-01174-z doi (DE-627)SPR046122966 (SPR)s11554-021-01174-z-e DE-627 ger DE-627 rakwb eng Song, Yun verfasserin aut An efficient low-complexity block partition scheme for VVC intra coding 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding efficiency while cause much heavier computational complexity than High-Efficiency Video Coding (HEVC). In this paper, an efficient low-complexity CU partition method based on the texture characteristic is proposed to achieve a good trade-off between the coding efficiency and the complexity reduction. Specifically, the texture complexities of vertical and horizontal directions are quantitatively measured in terms of the sum of the mean absolute deviation (SMAD) of the sub-blocks. Then, the vertical and horizontal texture complexities are compared to eliminate some unlikely partition modes. Moreover, the threshold of directional SMAD ratios for choosing the texture direction is adjusted according to the quantization parameter (QP) to improve the prediction accuracy. Experimental results show that the proposed method achieves the average complexity reduction efficiency by 54.60% than the VVC test model (VTM). The implementation of the proposed method is publicly available at http://sites.google.com/site/wangmiaohui/ and http://github.com/csust-sonie/fastVVC_RTIP_2107. Versatile video coding (dpeaa)DE-He213 QTMT (dpeaa)DE-He213 Complexity reduction (dpeaa)DE-He213 Video coding (dpeaa)DE-He213 Zeng, Biao aut Wang, Miaohui (orcid)0000-0003-1125-9299 aut Deng, Zelin aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 19(2021), 1 vom: 03. Okt., Seite 161-172 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:19 year:2021 number:1 day:03 month:10 pages:161-172 https://dx.doi.org/10.1007/s11554-021-01174-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 19 2021 1 03 10 161-172
language	English
source	Enthalten in Journal of real-time image processing 19(2021), 1 vom: 03. Okt., Seite 161-172 volume:19 year:2021 number:1 day:03 month:10 pages:161-172
sourceStr	Enthalten in Journal of real-time image processing 19(2021), 1 vom: 03. Okt., Seite 161-172 volume:19 year:2021 number:1 day:03 month:10 pages:161-172
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Versatile video coding QTMT Complexity reduction Video coding
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container_title	Journal of real-time image processing
authorswithroles_txt_mv	Song, Yun @@aut@@ Zeng, Biao @@aut@@ Wang, Miaohui @@aut@@ Deng, Zelin @@aut@@
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author	Song, Yun
spellingShingle	Song, Yun misc Versatile video coding misc QTMT misc Complexity reduction misc Video coding An efficient low-complexity block partition scheme for VVC intra coding
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topic_title	An efficient low-complexity block partition scheme for VVC intra coding Versatile video coding (dpeaa)DE-He213 QTMT (dpeaa)DE-He213 Complexity reduction (dpeaa)DE-He213 Video coding (dpeaa)DE-He213
topic	misc Versatile video coding misc QTMT misc Complexity reduction misc Video coding
topic_unstemmed	misc Versatile video coding misc QTMT misc Complexity reduction misc Video coding
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title	An efficient low-complexity block partition scheme for VVC intra coding
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title_full	An efficient low-complexity block partition scheme for VVC intra coding
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title_sort	efficient low-complexity block partition scheme for vvc intra coding
title_auth	An efficient low-complexity block partition scheme for VVC intra coding
abstract	Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding efficiency while cause much heavier computational complexity than High-Efficiency Video Coding (HEVC). In this paper, an efficient low-complexity CU partition method based on the texture characteristic is proposed to achieve a good trade-off between the coding efficiency and the complexity reduction. Specifically, the texture complexities of vertical and horizontal directions are quantitatively measured in terms of the sum of the mean absolute deviation (SMAD) of the sub-blocks. Then, the vertical and horizontal texture complexities are compared to eliminate some unlikely partition modes. Moreover, the threshold of directional SMAD ratios for choosing the texture direction is adjusted according to the quantization parameter (QP) to improve the prediction accuracy. Experimental results show that the proposed method achieves the average complexity reduction efficiency by 54.60% than the VVC test model (VTM). The implementation of the proposed method is publicly available at http://sites.google.com/site/wangmiaohui/ and http://github.com/csust-sonie/fastVVC_RTIP_2107. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021
abstractGer	Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding efficiency while cause much heavier computational complexity than High-Efficiency Video Coding (HEVC). In this paper, an efficient low-complexity CU partition method based on the texture characteristic is proposed to achieve a good trade-off between the coding efficiency and the complexity reduction. Specifically, the texture complexities of vertical and horizontal directions are quantitatively measured in terms of the sum of the mean absolute deviation (SMAD) of the sub-blocks. Then, the vertical and horizontal texture complexities are compared to eliminate some unlikely partition modes. Moreover, the threshold of directional SMAD ratios for choosing the texture direction is adjusted according to the quantization parameter (QP) to improve the prediction accuracy. Experimental results show that the proposed method achieves the average complexity reduction efficiency by 54.60% than the VVC test model (VTM). The implementation of the proposed method is publicly available at http://sites.google.com/site/wangmiaohui/ and http://github.com/csust-sonie/fastVVC_RTIP_2107. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021
abstract_unstemmed	Abstract The newest versatile video coding (VVC) adopts a novel quadtree with a nested multi-type tree (QTMT) partition structure for intra-frame coding and splits the coding unit (CU) into not only square sub-blocks but also rectangular sub-blocks. The more flexible CU sizes improve the encoding efficiency while cause much heavier computational complexity than High-Efficiency Video Coding (HEVC). In this paper, an efficient low-complexity CU partition method based on the texture characteristic is proposed to achieve a good trade-off between the coding efficiency and the complexity reduction. Specifically, the texture complexities of vertical and horizontal directions are quantitatively measured in terms of the sum of the mean absolute deviation (SMAD) of the sub-blocks. Then, the vertical and horizontal texture complexities are compared to eliminate some unlikely partition modes. Moreover, the threshold of directional SMAD ratios for choosing the texture direction is adjusted according to the quantization parameter (QP) to improve the prediction accuracy. Experimental results show that the proposed method achieves the average complexity reduction efficiency by 54.60% than the VVC test model (VTM). The implementation of the proposed method is publicly available at http://sites.google.com/site/wangmiaohui/ and http://github.com/csust-sonie/fastVVC_RTIP_2107. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021
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title_short	An efficient low-complexity block partition scheme for VVC intra coding
url	https://dx.doi.org/10.1007/s11554-021-01174-z
remote_bool	true
author2	Zeng, Biao Wang, Miaohui Deng, Zelin
author2Str	Zeng, Biao Wang, Miaohui Deng, Zelin
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doi_str	10.1007/s11554-021-01174-z
up_date	2024-07-03T20:30:44.763Z
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An efficient low-complexity block partition scheme for VVC intra coding

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