@inproceedings{ec071ac0bb164620bf42b4eb3251eabe,
title = "One-point hexagonal inner search for fast motion estimation",
abstract = "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.",
keywords = "Enhanced hexagon-based search algorithm, Fast motion estimation, Hexagonal search, One-point hexagonal inner search",
author = "Su, {Chorng Yann} and Chang, {Cheng Tao}",
year = "2005",
doi = "10.1007/11595755_49",
language = "English",
isbn = "3540307508",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "406--412",
booktitle = "Advances in Visual Computing - First International Symposium, ISVC 2005, Proceedings",
note = "First International Symposium on Advances in Visual Computing, ISVC 2005 ; Conference date: 05-12-2005 Through 07-12-2005",
}