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Multi-Hypothesis Prediction Based on Implicit Motion Vector Derivation for Video Coding

  • Zhao Wang
  • , Shiqi Wang
  • , Xinfeng Zhang
  • , Shanshe Wang
  • , Siwei Ma

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Traditional video coding standards H.264/AVC and HEVC adopt inter-frame prediction with single prediction (P frame) and bi-directional prediction (B frame), in which one and two hypotheses are utilized to generate the final prediction. Though more hypotheses have been proved to significantly improve the prediction accuracy, the additional bits used for signaling the motion information may decrease the overall rate-distortion performance conversely. In this paper, we propose a multi-hypothesis prediction scheme based on implicit derivation of motion vector. In the proposed scheme, the first prediction block is generated identically with the method in HEVC. Subsequently, motion estimation is applied on each reference frame by taking the first prediction block as template, and the search results serve as the additional hypothesis candidates. In this manner, the overheads of motion vector can be reduced. Simulation results show that the proposed algorithm can achieve average 1.1% coding gain compared to HEVC.

源语言英语
主期刊名2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
出版商IEEE Computer Society
2541-2545
页数5
ISBN(电子版)9781479970612
DOI
出版状态已出版 - 29 8月 2018
已对外发布
活动25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, 希腊
期限: 7 10月 201810 10月 2018

出版系列

姓名Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

会议

会议25th IEEE International Conference on Image Processing, ICIP 2018
国家/地区希腊
Athens
时期7/10/1810/10/18

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