Encoder adaptable difference detection for low power video compression in surveillance system

Xin Jin, Satoshi Goto

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

Abstract

In this paper, a difference detection algorithm is proposed to reduce the computational complexity and power consumption in surveillance video compression. The content differences of the input video data are automatically detected by analyzing the color and moving correlation features. Macroblocks without content differences are directly distributed to the bitstream writer of the H.264/AVC encoder. Both the computational complexity and the power consumption are significantly reduced by skipping the entire encoding process. An average of over 84% of overall encoding complexity can be reduced. No loss is observed in both of subjective and objective video quality. Without any requirement in changing the encoder hardware, the proposed algorithm provides high adaptability to be integrated into the existing H.264/AVC video encoders.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages285-296
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

Keywords

  • Difference detection
  • encoder adaptability
  • low power video coding
  • surveillance video coding

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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