Determination of fast inter depth for HEVC based on dimensional similarity

被引：0
作者：
State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an [1 ]
710071, China
机构：
[1] State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an
来源：
Guangxue Jingmi Gongcheng | / 577-582期
关键词：
Coding Unit (CU); Depth decision; Dimensional similarity; High Efficiency Video Coding (HEVC); Inter prediction;
D O I：
10.3788/OPE.20152313.0577
中图分类号：
学科分类号：
摘要：
A fast depth decision algorithm for High Efficiency Video coding (HEVC) based on dimensional similarity in video sequences is proposed to improve its coding efficiency. As the difference between adjacent frames is in temporal, it implys strong dimensional similarity in inter-frame prediction. This paper analyzes the similar probability in Coding Unit (CU) depth between adjacent frames to pre-determine the depth of current CU. When the current CU does the depth splitting, its reference frame's CU depth information can be used to estimate the current CU depth. Then, it will jump over or stop some unnecessary deep splitting and to decrease the number of CU splittings and the coding computational complexity. The SKIP fast mode is also adopted to perform the fast determination. Experimental result shows that proposed algorithm reduces coding complexity by 52% as compared with original HEVC algorithm. Meanwhile, the average Peak Signal to Noise Ratio (PSNR) only decreases 0.09 dB and the average coding rate is decreased by approximately 0.58%. © 2015, Chinese Academy of Sciences. All right reserved.
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页码：577 / 582
页数：5
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