音视频编码标准

视频编码中一种新的用于几何块划分的变换结构

展开
  • 1. 清华大学 清华信息科学与技术国家实验室, 北京 100084; 2. 华为技术有限公司 海思半导体和元件事业部研发部, 广东 深圳 518129

收稿日期: 2013-05-19

  网络出版日期: 2013-06-30

基金资助

国家重点基础研究发展计划(973 计划)资助项目(2009CB320903); 国家科技重大专项资助项目(2010ZX03004-003)

A New Transform Structure for Geometry Motion Partitioning in Video Coding

Expand
  • 1. Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China; 2. R&D Department of Hisilicon Semiconductor and Component Business Department, Huawei Technologies, Shenzhen 518129, Guangdong, China

Received date: 2013-05-19

  Online published: 2013-06-30

摘要

针对几何块划分技术提出了一种任意形状的变换结构. 虽然几何块划分技术比现有视频编码标准中采用的块划分方式更为灵活, 但其所对应的变换结构并未得到合理设计, 从而导致变换效率下降. 因此, 提出对两个任意形状的残差块分别进行任意形状的变换, 并通过翻转的方法保留像素间的相关性. 实验结果表明, 将任意形状的变化结构应用于几何块划分技术可以节约1.16%~3.05%比特率.

本文引用格式

袁媛1, 郑萧桢2, 何芸1 . 视频编码中一种新的用于几何块划分的变换结构[J]. 上海大学学报(自然科学版), 2013 , 19(3) : 240 -244 . DOI: 10.3969/j.issn.1007-2861.2013.03.005

Abstract

This paper proposes a transform structure with arbitrary shape blocks for geometry block partitioning. A square coding block is split into two arbitrary shaped prediction blocks by geometry partitioning, which is more flexible than the partitioning method used in current video coding standards. In the current design, using a square transform block for combined square residual block is not reasonable and will affect transform efficiency. To further improve the transform structure, we propose that the two arbitrary shaped residual blocks are transformed separately with arbitrary shaped transform blocks. A turnover method is used to retain the correlation of residuals. Experimental results show that a bit rate saving of 1.16%~3.05% can be achieved.

参考文献

[1] ITU-T. Video codec for audiovisual services at p×64 Kbit/s [EB/OL]. [2013-05-19]. http://www.itu.int/rec/T-REC-H.261-199012-S/en.

[2] ISO/IEC JTC1. Coding of moving pictures and associated audio for digital storage media at up to about 1.5 Mbit/s-part 2:video [EB/OL]. [2013-05-19]. http:// webstore. ansi. org/RecordDetail. aspx?sku=ISO/IEC%2011172-2/Cor3:2003#.UcDk9qV6qZE.

[3] ITU-T, ISO/IEC JTC1. Generic coding of moving pictures and associated audio information-part2: video [EB/OL]. [2013-05-19]. http://www.itu.int/rec/T-REC-H.262-199507-S/en.

[4] ITU-T. Video coding for low bit rate communication version 1 [EB/OL]. [2013-05-19]. http://www.itu.int/rec/T-REC-H.263-199603-S/en.

[5] ITU-T, ISO/IEC JTC1. Advanced video coding for generic audiovidual services [EB/OL]. [2013-05-19]. http://www.itu.int/rec/T-REC-H.264-200305-S/en.

[6] Kondo S, Sasai H. A motion compensation technique using sliced blocks in hybrid video coding [C]// IEEE International Conference on Image Processing. 2005:Ⅱ-305-8.

[7] Divorra ` O, Yin P, Gomila C. Geometry-adaptive block partioning [EB/OL]. [2013-05-19]. http://wftp3.itu.int/av-arch/video-site/0704 San/.

[8] Divorra ` O, Yin P, Dai C, et al. Geometry-adaptive block partitioning for video coding [C]// IEEE International Conference on Acoustics, Speech and Signal Processing. 2007: Ⅰ-657.

[9] Guo L, Yin P, Francois E. TE 3: simplified geometry block partitioning [EB/OL]. [2013-05-19]. http://phenix.int-evry.fr/jct/.

[10] Francois E, Bordes P, Guo L, et al. CE2: simplified geometry block partitioning [EB/OL]. [2013-05-19]. http://phenix.int-evry.fr/jct/.

[11] Zheng X Z, Yu H P. Flexible macroblock partition for inter-frame coding [EB/OL]. [2013-05-19]. http://phenix.int-evry.fr/jct/.

[12] Zheng X Z, Yu H P. CE2: Huawei and Hisilicon report on flexible motion partitioning [EB/OL]. [2013-05-19]. http://phenix.int-evry.fr/jct/.

[13] ISO/IEC JTC1. Information technology-coding of audio/visual objects, part 2: visual [EB/OL]. [2013-05-19]. http://webstore.ansi.org/RecordDetail.aspx?sku=ISO/IEC%2014496-2:2004#.UcDltKV6qZA.

[14] Sikora T, Makai B. Shape-adaptive DCT for generic coding of video [J]. IEEE Transactions on Circuits and Systems for Video Technology, 1995, 5(1):59-62.

[15] Xie T, Cheng J W, He Y, et al. A new approach to arbitrary shaped DCT [C]// IEEE International Conference on Picture Coding Symposium. 1997: 97-101.

[16] Foi A, Katkovnik V, Egiazarian K. Pointwise shape-adaptive DCT for high-quality denoising and deblocking of grayscale and color images [J]. IEEE Transactions on Image Processing, 2007, 16(5):1395-1411.

[17] Foi A, Dabov K, Katkovnik V, et al. Shapeadaptive DCT for denoising and image reconstruction [C]// International Society for Optics and Photonics in Electronic Imaging. 2006: 60640N.

[18] Karczewicz M, Chen P S, Joshi R, et al. Video coding technology proposal by Qualcomm Inc. [EB/OL]. [2013-05-19]. http://phenix.int-evry.fr/jct/.
文章导航

/