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Transcoding based robust streaming of compressed video

  • Xiaopeng Fan*
  • , Oscar C. Au
  • , Mengyao Ma
  • , Ling Hou
  • , Jiantao Zhou
  • , Man Cheung Ngai
  • *Corresponding author for this work
  • Hong Kong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A variety of techniques have been proposed to enhance the error robustness of the video streaming system. However, most of them improves the error resilience during compression rather than after compression. In this paper, we propose a novel transcoding based scheme called lossless inter frame transcoding (LIFT) scheme to improve the error resilience of existing compressed video stream. In the LIFT scheme, inter coded blocks are selectively transcoded into new kind of blocks called 'L-block'. At the decoder, the L-block can be transcoded back to the original P-block when the prediction is available and can also be robustly decoded as I-block when the prediction is unavailable. By offline transcoding and online adjusting the ratio of P-blocks and L-blocks, the proposed streaming server achieves error robustness scalability. Experimental results demonstrate the correctness and effectiveness of the proposed method.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages909-912
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan, Province of China
Duration: 19 Apr 200924 Apr 2009

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Country/TerritoryTaiwan, Province of China
CityTaipei
Period19/04/0924/04/09

Keywords

  • Adaptive error robustness
  • Error resilience
  • Intra refresh
  • L-block
  • Video streaming

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