Scalable video streaming transmission over cooperative communication networks based on frame significance analysis

Yi Sian Wu*, Chia Hung Yeh, Wen Yu Tseng, Min Kuan Chang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

A new resource allocation algorithm based on frame significance analysis is presented in this paper for scalable video streaming transmission over cooperative communication networks. First, by introducing frame significance analysis, the video quality dependency between coding frame and its references is explored for hierarchical b-picture (HBP) structure. Second, the cooperative communication networks which can provide various channels are used to transmit the scalable video streaming. The proposed algorithm allocates the relay and sub-band to each layer based on channel conditions and the priority of layered videos. Experimental results indicate that the proposed algorithm is superior to random allocation cooperative schemes and non-cooperative schemes.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Pages274-279
Number of pages6
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012 - Hong Kong, China
Duration: 2012 Aug 122012 Aug 15

Publication series

Name2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012

Conference

Conference2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Country/TerritoryChina
CityHong Kong
Period2012/08/122012/08/15

Keywords

  • cooperative communication network
  • frame significance analysis
  • hierarchical b-picture prediction
  • scalable video coding
  • video transmission

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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