Efficiency-complexity curve based method for evaluating adaptive search range algorithms in motion estimation

Zhenxing Chen*, Takeshi Ikenaga, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

The well known Rate-Distortion (RD) curve and the average Peak Signal to Noise Ratio (PSNR) difference between two RD curves (APSNR) are frequently and widely used for evaluating how well a fast motion estimation (ME) algorithm performs in encoding efficiency. Besides this one for encoding efficiency, there usually exists another parameter, such as ME executing time or average search point number for processing one macroblock (ASP/MB), to evaluate the complexity of this fast ME algorithm. In the other hand, adaptive search range (ASR) ME algorithms are proved to be more fundamental, regular and controllable than normal fixed search pattern (FSP) ME algorithms. Thus for especially evaluating ASR ME algorithms, an Efficiency-Complexity (EC) curve based method is proposed and discussed in this paper.

本文言語English
ホスト出版物のタイトルProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
ページ525-528
ページ数4
DOI
出版ステータスPublished - 2008 9月 22
イベント1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China
継続期間: 2008 5月 272008 5月 30

出版物シリーズ

名前Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
1

Conference

Conference1st International Congress on Image and Signal Processing, CISP 2008
国/地域China
CitySanya, Hainan
Period08/5/2708/5/30

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

フィンガープリント

「Efficiency-complexity curve based method for evaluating adaptive search range algorithms in motion estimation」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