Object's moving speed based model for deciding video sequence's benchmark search range in video coding

Zhenxing Chen*, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

抄録

Motion Estimation consumes most of the computational time in video coding system since the matching between blocks should be carried out on numerous search points (SPs). Adaptive Search Range (ASR) schemes, as one kind of fast ME algorithms, are widely used to reduce the SPs. However, all of the so-called ASR schemes are applied on the precondition that there already has a fixed benchmark SR (bm-SR) exsited. By revealing the correlation between SR and object's moving, this paper proposes a model for deciding the benchmark SR. This proposed model is not only the first work for deciding bm-SR adaptively, but also an adventruous trial for utilizing high level information like object's moving speed.

本文言語English
ホスト出版物のタイトルProceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
ページ220-223
ページ数4
DOI
出版ステータスPublished - 2009
イベント2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009 - Kuala Lumpur
継続期間: 2009 3月 62009 3月 8

Other

Other2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
CityKuala Lumpur
Period09/3/609/3/8

ASJC Scopus subject areas

  • 計算理論と計算数学
  • コンピュータ サイエンスの応用
  • 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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