Hilbert transform based workload estimation for low power surveillance video compression

Xin Jin*, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

In this paper, a workload estimation scheme is proposed for surveillance video encoding by using difference detection and Hilbert transform-based workload estimation model. Difference detection distributes the input video data according to their content similarity features and retrieves the encoding workload for the coded frames. Workload estimation model predicts the encoding workload for the following time slot using Hilbert transform and error control. Experimental results indicate that the proposed workload estimation model can provide accurate estimation results without performance hit to maintain the video encoding performance under a given performance constraint during power reduction.

本文言語English
ホスト出版物のタイトルProceedings - International Conference on Image Processing, ICIP
ページ4461-4464
ページ数4
DOI
出版ステータスPublished - 2010
イベント2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong
継続期間: 2010 9月 262010 9月 29

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CityHong Kong
Period10/9/2610/9/29

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

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