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

Xin Jin, Satoshi Goto

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルFinal Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010
DOI
出版ステータスPublished - 2010
イベント4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010 - Limassol
継続期間: 2010 3 32010 3 5

Other

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

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 信号処理
  • 電子工学および電気工学

フィンガープリント

「Content similarity based early skip mode decision for low power surveillance video compression」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル