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

Xin Jin; Satoshi Goto

doi:10.1109/ISCCSP.2010.5463334

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

Xin Jin^*, Satoshi Goto

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Final Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010
DOIs	https://doi.org/10.1109/ISCCSP.2010.5463334
Publication status	Published - 2010
Event	4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010 - Limassol Duration: 2010 Mar 3 → 2010 Mar 5

Other

Other	4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010
City	Limassol
Period	10/3/3 → 10/3/5

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Electrical and Electronic Engineering

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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, 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010, Limassol, 10/3/3. https://doi.org/10.1109/ISCCSP.2010.5463334

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AB - 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.

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

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