Efficient HEVC inter prediction using SVM

Jia Kai Liu; Yinyi Lin

doi:10.1109/GCCE46687.2019.9015477

Efficient HEVC inter prediction using SVM

Jia Kai Liu, Yinyi Lin

通訊工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

1 引文斯高帕斯（Scopus）

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	https://doi.org/10.1109/GCCE46687.2019.9015477
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 2019 → 18 10月 2019

出版系列

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	8th IEEE Global Conference on Consumer Electronics, GCCE 2019
國家/地區	Japan
城市	Osaka
期間	15/10/19 → 18/10/19

存取文件

10.1109/GCCE46687.2019.9015477

引用此

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title = "Efficient HEVC inter prediction using SVM",

abstract = "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.",

keywords = "Computational complexity, High efficiency video coding (HEVC), Inter prediction",

author = "Liu, {Jia Kai} and Yinyi Lin",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE Global Conference on Consumer Electronics, GCCE 2019 ; Conference date: 15-10-2019 Through 18-10-2019",

year = "2019",

month = oct,

doi = "10.1109/GCCE46687.2019.9015477",

language = "???core.languages.en_GB???",

series = "2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019",

}

Liu, JK & Lin, Y 2019, Efficient HEVC inter prediction using SVM. 於 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019., 9015477, 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019, Institute of Electrical and Electronics Engineers Inc., 頁 354-358, 8th IEEE Global Conference on Consumer Electronics, GCCE 2019, Osaka, Japan, 15/10/19. https://doi.org/10.1109/GCCE46687.2019.9015477

TY - GEN

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AU - Liu, Jia Kai

AU - Lin, Yinyi

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

KW - Computational complexity

KW - High efficiency video coding (HEVC)

KW - Inter prediction

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BT - 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th IEEE Global Conference on Consumer Electronics, GCCE 2019

Y2 - 15 October 2019 through 18 October 2019

ER -

Efficient HEVC inter prediction using SVM

摘要

出版系列

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