An efficient frame loss error concealment scheme based on tentative projection for H.264/AVC

Hao Sun, Peilin Liu, Jun Wang, Satoshi Goto

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

1 Citation (Scopus)

Abstract

In this paper, we proposed an efficient frame loss error concealment scheme based on reverse projection. Frame loss often happens in low bit-rate video transmissions. This method utilized bi-direction motion vector extrapolation to generate a coverage motion vector candidate list. Then each motion vector in the candidate list is tentatively projected into the previous frame and the next frame. A distortion estimation is used to choose a best MV from the previous and the next frame each. A final MV is obtained with a liner interpolation of the chosen MVs. Experimental results have demonstrated that the proposed method improves the objective performance in terms of PSNR as well as subjective visual quality and the tentative projection is efficient.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages394-404
Number of pages11
Volume6298 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2010
Event11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai
Duration: 2010 Sep 212010 Sep 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6298 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th Pacific Rim Conference on Multimedia, PCM 2010
CityShanghai
Period10/9/2110/9/24

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Keywords

  • Error Concealment
  • Frame Loss
  • H.264/AVC
  • Tentative Projection

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Sun, H., Liu, P., Wang, J., & Goto, S. (2010). An efficient frame loss error concealment scheme based on tentative projection for H.264/AVC. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6298 LNCS, pp. 394-404). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6298 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-15696-0_37