A Coding Efficiency Improvement Algorithm for Future Video Coding
A Coding Efficiency Improvement Algorithm for Future Video Coding
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DOI：
10.1007/978-3-319-68121-4_30
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Xiantao Jiang;Xiaofeng Wang;Yadong Yang;Tian Song;Wen Shi;Takafumi Katayama
中科院分区：
文献类型：
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作者：
Xiantao Jiang;Xiaofeng Wang;Yadong Yang;Tian Song;Wen Shi;Takafumi Katayama
运动估计在运动编码中至关重要。然而，HEVC中搜索中心决策方法的固定模式缺乏精度。利用周围编码单元信息，提出了一种通用运动矢量预测框架来提高 HEVC 中的编码效率。所提出的框架由两部分组成：运动矢量预测（MVP）和搜索范围（SR）选择。首先，提出了一种新的运动矢量预测（NMVP）方法来提高编码效率。其次，开发了自适应搜索范围选择（ASRS）方法来降低运动估计中的编码复杂度。仿真结果表明，与HEVC参考软件相比，整体码率平均降低5.49%，最高可达9.18%。
Motion estimation is critical in motion coding. However, the fixed pattern of search center decision method in HEVC is lack of precision. Taking advantage of the surrounding coding unit information, a universal motion vector prediction framework is presented to improve the coding efficiency in HEVC. The proposed framework is composed of two parts: motion vector prediction (MVP) and search range (SR) selection. Firstly, a novel motion vector prediction (NMVP) method is presented to improve the coding efficiency. Secondly, an adaptive search range selection (ASRS) method is developed to reduce the coding complexity in motion estimation. The simulation results demonstrate that the overall bitrate can be reduced by 5.49% on average, up to 9.18% compared with HEVC reference software.