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ID 115813
著者
Jiang, Xiantao Shanghai Maritime University
Leu, Jenq-Shiou National Taiwan University of Science and Technology
キーワード
H.265/HEVC
motion-vector prediction
video-coding efficiency
CU depth
資料タイプ
学術雑誌論文
抄録
H.265/HEVC achieves an average bitrate reduction of 50% for fixed video quality compared with the H.264/AVC standard, while computation complexity is significantly increased. The purpose of this work is to improve coding efficiency for the next-generation video-coding standards. Therefore, by developing a novel spatial neighborhood subset, efficient spatial correlation-based motion vector prediction (MVP) with the coding-unit (CU) depth-prediction algorithm is proposed to improve coding efficiency. Firstly, by exploiting the reliability of neighboring candidate motion vectors (MVs), the spatial-candidate MVs are used to determine the optimized MVP for motion-data coding. Secondly, the spatial correlation-based coding-unit depth-prediction is presented to achieve a better trade-off between coding efficiency and computation complexity for interprediction. This approach can satisfy an extreme requirement of high coding efficiency with not-high requirements for real-time processing. The simulation results demonstrate that overall bitrates can be reduced, on average, by 5.35%, up to 9.89% compared with H.265/HEVC reference software in terms of the Bjontegaard Metric.
掲載誌名
Symmetry
ISSN
20738994
出版者
MDPI
11
2
開始ページ
129
発行日
2019-01-23
権利情報
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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出版社版DOI
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言語
eng
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出版社版
部局
理工学系