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

Hao Sun, Peilin Liu, Jun Wang, Satoshi Goto

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ394-404
ページ数11
6298 LNCS
エディションPART 2
DOI
出版物ステータスPublished - 2010
イベント11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai
継続期間: 2010 9 212010 9 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
6298 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other11th Pacific Rim Conference on Multimedia, PCM 2010
Shanghai
期間10/9/2110/9/24

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • これを引用

    Sun, H., Liu, P., Wang, J., & Goto, S. (2010). An efficient frame loss error concealment scheme based on tentative projection for H.264/AVC. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 版, 巻 6298 LNCS, pp. 394-404). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 6298 LNCS, 番号 PART 2). https://doi.org/10.1007/978-3-642-15696-0_37