首页    期刊浏览 2025年09月17日 星期三
登录注册

文章基本信息

  • 标题:Joint Source/Channel Coding Based on Two-Dimensional Optimization for Scalable H.264/AVC Video
  • 本地全文:下载
  • 作者:Li, Xiao-Feng ; Zhou, Ning ; Liu, Hong-Sheng
  • 期刊名称:ETRI Journal
  • 印刷版ISSN:1225-6463
  • 电子版ISSN:2233-7326
  • 出版年度:2011
  • 卷号:33
  • 期号:2
  • 页码:155-162
  • DOI:10.4218/etrij.11.0110.0220
  • 语种:English
  • 出版社:Electronics and Telecommunications Research Institute
  • 摘要:The scalable extension of the H.264/AVC video coding standard (SVC) demonstrates superb adaptability in video communications. Joint source and channel coding (JSCC) has been shown to be very effective for such scalable video consisting of parts of different significance. In this paper, a new JSCC scheme for SVC transmission over packet loss channels is proposed which performs two-dimensional optimization on the quality layers of each frame in a rate-distortion (R-D) sense as well as on the temporal hierarchical structure of frames under dependency constraints. To compute the end-to-end R-D points of a frame, a novel reduced trellis algorithm is developed with a significant reduction of complexity from the existing Viterbi-based algorithm. The R-D points of frames are sorted under the hierarchical dependency constraints and optimal JSCC solution is obtained in terms of the best R-D performance. Experimental results show that our scheme outperforms the existing scheme of [13] with average quality gains of 0.26 dB and 0.22 dB for progressive and non-progressive modes respectively.
  • 关键词:Scalable video coding (SVC);joint source/channel coding;unequal error protection;H.264/AVC
国家哲学社会科学文献中心版权所有