Content similarity based early skip mode decision for low power surveillance video compression

Xin Jin, Satoshi Goto

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

1 Citation (Scopus)

Abstract

As a state-of-the-art video compression technique, H.264/AVC has been deployed in many surveillance cameras to improve the compression efficiency. However, it induces very high coding complexity, and thus high power consumption. In this paper, an early skip mode decision algorithm is proposed to reduce the computational complexity and power consumption in surveillance video compression by detecting the content similarity using chrominance and motion features. The overall computational complexity of the whole video encoding system is significantly reduced by 84%. No loss is observed in both of subjective and objective video quality.

Original languageEnglish
Title of host publicationFinal Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010
DOIs
Publication statusPublished - 2010
Event4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010 - Limassol
Duration: 2010 Mar 32010 Mar 5

Other

Other4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010
CityLimassol
Period10/3/310/3/5

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Jin, X., & Goto, S. (2010). Content similarity based early skip mode decision for low power surveillance video compression. In Final Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010 [5463334] https://doi.org/10.1109/ISCCSP.2010.5463334