吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (2): 670-676.doi: 10.13229/j.cnki.jdxbgxb201702044

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质量可伸缩高性能视频编码中增强层快速算法

李晓妮1, 陈绵书1, 桑爱军1, 曲昭伟2   

  1. 1.吉林大学 通信工程学院,长春 130022;
    2.吉林大学 交通学院,长春 130022
  • 收稿日期:2015-12-18 出版日期:2017-03-20 发布日期:2017-03-20
  • 作者简介:李晓妮(1984-),女,讲师,博士.研究方向:视频通信与数码处理.E-mail:lxn@jlu.edu.cn
  • 基金资助:
    吉林省科技发展计划国际合作项目(20140414013GH, 20130413053GH); 吉林省青年基金项目(20130522164JH); 吉林省自然科学基金项目(20130101045JC); 吉林省重点支撑项目(20130206093SF); 吉林省教育厅“十三五”科学技术项目(吉教科合字[2016]第427号); 国家自然科学基金项目(51278520, 51278220).

Enhancement layer fast coding algorithm for quality scalability in SHVC

LI Xiao-ni1, CHEN Mian-shu1, SANG Ai-jun1, QU Zhao-wei2   

  1. 1.College of Communication Engineering,Jilin University,Changchun 130022,China;
    2.College of Transportation,Jilin University,Changchun 130022,China
  • Received:2015-12-18 Online:2017-03-20 Published:2017-03-20

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摘要： 针对质量可伸缩高性能视频编码(SHVC)中递归式的四叉树编码单元(CU)划分引起的高计算复杂度的问题,提出了一种增强层快速编码算法。该算法充分利用层间编码单元深度值的相关性,根据基本层编码单元的深度信息预测增强层编码单元的深度值范围,跳过一些小概率的编码深度;在每一编码深度层下,利用当前预测单元(PU)与时间、空间以及父辈相邻PUs之间的相关性判断当前编码区域的复杂度,然后根据该区域的复杂度快速选择预测模式,从而进一步提高编码速度。实验证明,该算法与SHVC参考代码中的标准算法相比,在保证编码效率的前提下,编码时间可以平均节约78%左右。

关键词: 信息处理技术, 快速编码, 编码单元尺寸, 可伸缩高性能视频编码

Abstract: To reduce the coding computational complexity of the quadtree structured Coding Unit (CU) partition process in quality Scalable High Efficiency Video Coding (SHVC), a fast Enhancement Layer (EL) coding algorithm by jointly using the inter-layer and spatio-temporal correlations was proposed. First, the CU depth range is the EL was predicted by the Base Layer (BL) depth information and some specific depth levels rarely used were skipped. Then, at each depth level, the prediction mode was fast determined using the Block Motion Complexity (BMC) based on the spatio-temporal and parent neighboring Prediction Units (PUs). Experimental results show that, compared to the SHVC encoder, the proposed algorithm can save 78% coding time on average with almost the same RD performance.

Key words: information processing technology, fast coding, coding unit size, scalable high efficiency video coding (SHVC)

中图分类号: 

  • TN919
[1] Hannuksela M M, Ugur K, Lainema J, et al. Common specification text for scalable and multi-view extensions[R].ITU-7/ISO/IEC Joint Collabrative Team on Video Coding(JCT-VC),Geneva, Switzerland, 2013.
[2] Boyce J, Ramasubramonian A K. SHVC conformance testing draft 1[R].ITU-7/ISO/IEC Joint Collabrative Team on Video Coding(JCT-VC), Strasbourg, France, 2014.
[3] Li H, Li Z G, Wen C Y, et al. Fast mode decision algorithm for MODE-frame coding in fully scalable video coding[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2006, 16(7):889-895.
[4] Ren J F, Kehtarnavaz N. Fast adaptive early termination for mode selection in H.264 scalable video coding[C]∥IEEE International Conference on Image Processing, San Diego, CA, 2008:2464-2467.
[5] Jung S W, Baek S J, Park C S, et al. Fast mode decision using all-zero block detection for fidelity and spatial scalable video coding[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2009, 19(12): 1-5.
[6] Kim S T, Konda K, Park C S, et al. Fast mode decision algorithm for inter-layer coding in scalable video coding[J]. IEEE Transactions on Consumer Electronics, 2009, 55(3): 1572-1580.
[7] Yeh C H, Fan K J, Chen M J, et al. Fast mode decision algorithm for scalable video coding using bayesian theorem detection and markov process[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2010, 20(4): 563-574.
[8] Choi K, Jang E S. Coding tree pruning based CU early termination[R].ITU-7/ISO/IEC Joint Collabrative Team on Video Coding(JCT-VC),Torin,Italy, 2011.
[9] Yang J, Kim J, Won K, et al. Early SKIP detection for HEVC[R].ITU-7/ISO/IEC Joint Collabrative Team on Video Coding(JCT-VC), Geneva, Switzerland, 2011.
[10] Gweon R H, Lee Y L, Lim J. Early termination of CU encoding to reduce HEVC complexity[R].ITU-7/ISO/IEC Joint Collabrative Team on Video Coding(JCT-VC), Torin, Italy, 2011.
[11] Shen L Q, Zhang Z Y, An P. Fast CU size decision and mode decision algorithm for HEVC intra coding[J]. IEEE Transactions on Consumer Electronics, 2013, 59(1): 207-213.
[12] Xiong J, Li H L, Wu Q B, et al. A fast HEVC Inter CU selection method based on pyramid motion divergence[J]. IEEE Transactions on Multimedia, 2014, 16(2): 559-564.
[13] Shen X L, Yu L. CU splitting early termination based on weighted SVM[J/OL].[2015-04-11]. http://jivp.eurasipjournals.com/content/2013/1/4.
[14] 桑爱军, 孙敏, 陈绵书, 等. 多维矢量矩阵变换域的运动矢量估计[J]. 中国光学, 2015, 8(2): 191-197.
Sang Ai-jun, Sun Min, Chen Mian-shu, et al. Motion vector estimation in multi-dimensional vector matrix transform domain[J]. Chinese Optics, 2015, 8(2): 191-197.
[15] 于洋, 崔新宇, 桑爱军, 陈绵书, 陈贺新, 李晓妮. 快速Walsh变换与多视角视频编码[J]. 中国光学, 2016, 9(2): 234-240.
Yu Yang, Cui Xin-yu, Sang Ai-jun, et al. Fast Walsh transform and multi-view video coding[J]. Chinese Optics, 2016, 9(2): 234-240.
[16] Tohidypour H R, Pourazad M T, Nasiopoulos P. Content adaptive complexity reduction scheme for quality/fidelity scalable HEVC[R].ITU-7/ISO/IEC Joint Collabrative Team on Video Coding(JCT-VC), Geneva, Switzerland, 2013.
[17] Bailleul R, Cock J D, Walle R V D. Fast mode decision for SNR scalability in SHVC[C]∥2014 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 2014:193-194.
[18] Ge Q Y, Hu D. Fast encoding method using CU depth for quality scalable HEVC[C]∥2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA), Ottawa,2014:1366-1370.
[19] Zeng H Q, Cai C H, Ma K K. Fast mode decision for H.264/AVC based on macroblock motion activity[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2009, 19(4): 1-11.
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