Temporal scalable decoding process with frame rate conversion method for surveillance video

Wenxin Yu, Xin Jin, Satoshi Goto

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

7 Citations (Scopus)

Abstract

This paper proposed a temporal scalable decoding process with frame rate conversion method for surveillance video. This method can be used to reduce the computational complexity in the decoding process and keep the video quality at the same time, and make the single layer bit stream sources much more flexible for various terminal devices. It is realized based on frame-skipping conception with the proposed reference frame index decision algorithm, motion vector composition algorithm and block-partition mode decision algorithm. Compare with the frame rate conversion in transcoding process, it is much lower complexity and more flexible. Through the experimental results, the reduction of computational complexity (decoding time) depends on the number of skipped frames, the more frames was skipped the more reduction of the computational complexity will be got. The PSNR loss is very small (about 0.1 ∼ 0.2 (dB)) for B frame skipping. And the PSNR loss is about 0.7 ∼ 2 (dB) (the loss of SSIM is only 0.002 ∼ 0.007) for 2/3 P frame skipping and reduce the computational complexity about 60%.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages297-308
Number of pages12
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

  • frame rate conversion
  • frame-skipping
  • low complexity
  • surveillance video
  • temporal scalable decoding

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yu, W., Jin, X., & Goto, S. (2010). Temporal scalable decoding process with frame rate conversion method for surveillance video. 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. 297-308). (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_28