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作者:

Wu, Gang (Wu, Gang.) | Ding, Wenpeng (Ding, Wenpeng.) | Shi, Yunhui (Shi, Yunhui.) (学者:施云惠) | Yin, Baocai (Yin, Baocai.) (学者:尹宝才)

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EI Scopus

摘要:

Scalable video coding provides an efficient way to serve video contents at different visual quality levels and different resolutions. In this paper, the spatial scalability and quality scalability are evaluated on a base of the new Scalable High-efficiency Video Coding (SHVC) extension of HEVC under development. To further improve the coding efficiency of SHVC, we present a set of coding schemes to exploiting inter-layer redundancies for efficient compression of the enhancement layer. The coding schemes include inter-layer frame prediction, combined weighted prediction and inter-layer adaptive filter, which aim at fully utilizing the reconstructed base pictures in the enhancement layer prediction. Experimental results show the effectiveness of our scheme compared with the simulcast case and other HEVC-based scheme. In average, these schemes can achieve 1.5% and 1.7% BD-rate gain for RA HEVC 2x spatial scalability case and HEVC SNR scalability case, respectively. © Springer International Publishing Switzerland 2013.

关键词:

Adaptive filtering Adaptive filters Codes (symbols) Efficiency Forecasting Motion compensation Pulse code modulation Scalability Scalable video coding Video signal processing

作者机构:

  • [ 1 ] [Wu, Gang]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, 100124 Beijing, China
  • [ 2 ] [Ding, Wenpeng]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, 100124 Beijing, China
  • [ 3 ] [Shi, Yunhui]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, 100124 Beijing, China
  • [ 4 ] [Yin, Baocai]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, 100124 Beijing, China

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ISSN: 0302-9743

年份: 2013

卷: 8294 LNCS

页码: 110-121

语种: 英文

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WoS核心集被引频次: 0

SCOPUS被引频次: 1

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