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Author:

Liu, Chang (Liu, Chang.) | Jia, Kebin (Jia, Kebin.) (Scholars:贾克斌) | Liu, Pengyu (Liu, Pengyu.)

Indexed by:

EI Scopus

Abstract:

View synthesis optimization (VSO) allows 3D video system to improve the quality of synthesized views (SVs). Based on the latest segment-based VSO scheme, we find that not all of the intra mode and skip interval are necessary to be considered. Therefore, in this paper, an early determination of intra mode and optimal skip interval based on VSO scheme in 3D-HEVC is presented. First, we discuss a measure to select the best intra mode. Then, we decide the optimal skip interval based on statistical analysis. Experimental results indicate that the proposed algorithm achieves a reduction of 21.711% with negligible loss in rate-distortion performance compared with the original 3D-HEVC encoder, and the encoding time has also reduced to 7.869% compared with the others. © 2019, Springer Nature Singapore Pte Ltd.

Keyword:

Signal distortion Signal encoding Evolutionary algorithms Electric distortion Image coding

Author Community:

  • [ 1 ] [Liu, Chang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Liu, Chang]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 3 ] [Jia, Kebin]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Jia, Kebin]Beijing Advanced Innovation Center for Future Internet Technology, 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 Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 贾克斌

    [jia, kebin]beijing advanced innovation center for future internet technology, beijing university of technology, beijing; 100124, china;;[jia, kebin]faculty of information technology, beijing university of technology, beijing; 100124, china

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Source :

ISSN: 2194-5357

Year: 2019

Volume: 834

Page: 65-74

Language: English

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: 12

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