Fast Coding Unit Encoding Mechanism for Low Complexity Video Coding - Details

Author：

Gao, Yuan (Gao, Yuan.) | Liu, Pengyu (Liu, Pengyu.) | Wu, Yueying (Wu, Yueying.) | Jia, Kebin (Jia, Kebin.) (Scholars：贾克斌) | Gao, Guandong (Gao, Guandong.)

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Scopus SCIE PubMed

Abstract：

high　efficiency　video　coding　(HEVC),　coding　tree　contributes　to　excellent　compression　performance.　However,　coding　tree　brings　extremely　high　computational　complexity.　Innovative　works　for　improving　coding　tree　to　further　reduce　encoding　time　are　stated　in　this　paper.　A　novel　low　complexity　coding　tree　mechanism　is　proposed　for　HEVC　fast　coding　unit　(CU)　encoding.　Firstly,　this　paper　makes　an　in-depth　study　of　the　relationship　among　CU　distribution,　quantization　parameter　(QP)　and　content　change　(CC).　Secondly,　a　CU　coding　tree　probability　model　is　proposed　for　modeling　and　predicting　CU　distribution.　Eventually,　a　CU　coding　tree　probability　update　is　proposed,　aiming　to　address　probabilistic　model　distortion　problems　caused　by　CC.　Experimental　results　show　that　the　proposed　low　complexity　CU　coding　tree　mechanism　significantly　reduces　encoding　time　by　27%　for　lossy　coding　and　42%　for　visually　lossless　coding　and　lossless　coding.　The　proposed　low　complexity　CU　coding　tree　mechanism　devotes　to　improving　coding　performance　under　various　application　conditions.

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Author Community：

[ 1 ] [Gao, Yuan]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
[ 2 ] [Liu, Pengyu]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
[ 3 ] [Wu, Yueying]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
[ 4 ] [Jia, Kebin]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
[ 5 ] [Gao, Guandong]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
[ 6 ] [Gao, Yuan]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
[ 7 ] [Liu, Pengyu]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
[ 8 ] [Wu, Yueying]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
[ 9 ] [Jia, Kebin]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
[ 10 ] [Gao, Guandong]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
[ 11 ] [Gao, Yuan]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
[ 12 ] [Liu, Pengyu]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
[ 13 ] [Wu, Yueying]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
[ 14 ] [Jia, Kebin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
[ 15 ] [Gao, Guandong]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China

Reprint Author's Address：

贾克斌
[Jia, Kebin]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China;;[Jia, Kebin]Beijing Lab Adv Informat Networks, Beijing, Peoples R China;;[Jia, Kebin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China

Email：

kebinj@bjut.edu.cn

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Source ：

PLOS ONE

ISSN： 1932-6203

Year： 2016

Issue： 3

Volume： 11

3 . 7 0 0

JCR@2022

ESI Discipline： Multidisciplinary;

ESI HC Threshold：301

CAS Journal Grade：3

Cited Count：

WoS CC Cited Count： 1

SCOPUS Cited Count： 2

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

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