A videoconferencing-oriented hybrid-domain H.264/SVC to H.264/AVC spatial transcoder

Lei Sun*, Zhenyu Liu, Takeshi Ikenaga

*Corresponding author for this work

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


As an extension of H.264/AVC, Scalable Video Coding (SVC) provides the ability to adapt to heterogeneous requirements. However, transcoding between SVC and AVC becomes necessary due to the existence of legacy AVC-based systems. The straightforward full re-encoding method requires great computational cost, and fast SVC-to-AVC spatial transcoding techniques have not been thoroughly investigated yet. This paper proposes a low-complexity SVC-to-AVC spatial transcoder in hybrid domain (pixel domain & transform domain) with drift compensation. In the pixel-domain transcoding, a fast re-encoding method is proposed based on mode mapping and MV refinement. In the transform-domain transcoding, the quantized transform coefficients together with motion data are reused directly to avoid re-quantization loss. At last, the drift problem in proposed transcoder is solved. Simulation results show that proposed transcoder achieves averagely 96.4% time reduction compared with the full re-encoding method, and outperforms the reference methods in coding efficiency.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2012 - 13th Pacific-Rim Conference on Multimedia, Proceedings
Number of pages13
Publication statusPublished - 2012 Dec 27
Event13th Pacific-Rim Conference on Multimedia, PCM 2012 - Singapore, Singapore
Duration: 2012 Dec 42012 Dec 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7674 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th Pacific-Rim Conference on Multimedia, PCM 2012


  • SVC-to-AVC transcoding
  • drift compensation
  • hybrid-domain
  • spatial scalability
  • videoconferencing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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