Efficient HEVC inter prediction using SVM

Jia Kai Liu, Yinyi Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In this paper, we propose a fast and efficient inter mode decision using support vector machine (SVM) for HEVC inter prediction. In the proposed algorithm, we use information such as MV variance, neighboring CU depth level and coded block flag (CBF) as features for SVM-based CU size decision; while MV variance, SKIP flag and RDO ratio for SVM-based PU mode decision. The experimental results reveal that the proposed algorithm can achieve average 29.6% reduction of computation time with 0.09% bit rate increment only, compared to the original HEVC inter prediction.

原文???core.languages.en_GB???
主出版物標題2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面354-358
頁數5
ISBN(電子)9781728135755
DOIs
出版狀態已出版 - 10月 2019
事件8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
持續時間: 15 10月 201918 10月 2019

出版系列

名字2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

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???event.eventtypes.event.conference???8th IEEE Global Conference on Consumer Electronics, GCCE 2019
國家/地區Japan
城市Osaka
期間15/10/1918/10/19

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