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Author:

Feng, Zeqi (Feng, Zeqi.) | Liu, Pengyu (Liu, Pengyu.) | Jia, Kebin (Jia, Kebin.) (Scholars:贾克斌) | Duan, Kun (Duan, Kun.)

Indexed by:

EI Scopus

Abstract:

In high efficiency video coding (HEVC), up to 35 intra prediction modes are adopted to improve encoding performance. However, large numbers of modes lead to increased coding complexity inevitably, which hinders the promotion of HEVC in real-time environment. To reduce the encoding complexity, a spatial-temporal correlation based fast intra mode decision algorithm is proposed in this paper. Herein, the rough mode decision (RMD) candidate list and the rate distortion optimization (RDO) candidate list are narrowed respectively by strong spatial correlation and temporal correlation between prediction units (PUs). For RMD, the proposed algorithm early determines the impossible range of the PU optimal mode in line with spatial correlation, which would narrow RMD candidate list and speed up RMD process. For RDO, the proposed algorithm tries to combine temporal correlation with intra coding to simplify RDO candidate list and save RDO time consuming. Experimental results demonstrate that the proposed algorithm yields average 28.64% encoding time reduction with 1.19% BDBR gain or 0.06dB BDPSNR loss compared with HM16.9. The proposed algorithm drives HEVC coding efficiency under real-time environments. © 2018, Ubiquitous International. All rights reserved.

Keyword:

Electric distortion Image coding Lead compounds Encoding (symbols) Signal encoding Video signal processing Signal distortion Efficiency

Author Community:

  • [ 1 ] [Feng, Zeqi]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Feng, Zeqi]Beijing Laboratory of Advanced Information Networks, Beijing; 10012, China
  • [ 3 ] [Feng, Zeqi]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Feng, Zeqi]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Liu, Pengyu]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Liu, Pengyu]Beijing Laboratory of Advanced Information Networks, Beijing; 10012, China
  • [ 7 ] [Liu, Pengyu]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Liu, Pengyu]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 9 ] [Jia, Kebin]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 10 ] [Jia, Kebin]Beijing Laboratory of Advanced Information Networks, Beijing; 10012, China
  • [ 11 ] [Jia, Kebin]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 12 ] [Jia, Kebin]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 13 ] [Duan, Kun]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 14 ] [Duan, Kun]Beijing Laboratory of Advanced Information Networks, Beijing; 10012, China
  • [ 15 ] [Duan, Kun]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 16 ] [Duan, Kun]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China

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Source :

Journal of Information Hiding and Multimedia Signal Processing

ISSN: 2073-4212

Year: 2018

Issue: 5

Volume: 9

Page: 1137-1147

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

Online/Total:496/10577364
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