One-point hexagonal inner search for fast motion estimation

Chorng Yann Su*, Cheng Tao Chang

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a novel inner search algorithm for fast motion estimation to speed up the coding of video compression. The proposed algorithm, called as one-point hexagonal inner search (OPHIS), is based on the characteristic of monotonically decreasing of distortion on a local area. The most probable inner point is checked when an inner search starts. Compared with the enhanced hexagon-based search algorithm (EHEXBS), the OPHIS not only decreases the number of search points but also gets a better video quality. Experimental results show that the speed improvement is about 12.06% on average and the percentage decrease of the mean squared error is near to 2.29% on average. Therefore, the proposed OPHIS is more suitable for the applications of fast motion estimation than the EHEXBS.

原文英語
主出版物標題Advances in Visual Computing - First International Symposium, ISVC 2005, Proceedings
發行者Springer Verlag
頁面406-412
頁數7
ISBN(列印)3540307508, 9783540307501
DOIs
出版狀態已發佈 - 2005 一月 1
事件First International Symposium on Advances in Visual Computing, ISVC 2005 - Lake Tahoe, NV, 美国
持續時間: 2005 十二月 52005 十二月 7

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3804 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議First International Symposium on Advances in Visual Computing, ISVC 2005
國家/地區美国
城市Lake Tahoe, NV
期間2005/12/052005/12/07

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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