Title :
An efficient hybrid search algorithm for fast block matching in video coding
Author :
Jae-Yong Kiam ; Yang, Sung-Bong
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
Abstract :
Many suboptimal motion vector search algorithms have been proposed because the full search algorithm, which is an optimal method, requires huge computational requirements. These block matching algorithms find motion vectors simply from the center of the search window. But the motion vector of the current block is highly related to those of its neighboring blocks. In this paper we propose an efficient hybrid search algorithm (HBS) that exploits the motion vectors of the neighboring blocks to predict the initial search point. HBS searches for a motion vector from the initial search point using the diamond search algorithm(DS). DS is chosen because it is one of the fastest motion vector search algorithms. Experimental results show that HBS is a faster and more accurate motion vector search method than other suboptimal methods for most test sequences
Keywords :
image matching; image sequences; motion estimation; search problems; video coding; block matching algorithm; diamond search algorithm; efficient hybrid search algorithm; fast block matching; initial search point; neighboring blocks; suboptimal motion vector search algorithms; test sequences; video coding; Computer science; Electronic mail; IEC standards; ISO standards; Image sequences; Motion estimation; Transform coding; Video coding; Video compression; Video sequences;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818362