Title :
An improved search algorithm for motion estimation using adaptive search order
Author :
Chang, Lung-Chun ; Chung, Kuo-Liang ; Yang, Tsung-Cheng
Author_Institution :
Dept. of Inf. Manage., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fDate :
5/1/2001 12:00:00 AM
Abstract :
An adaptive search order (ASO) algorithm is presented to speed up the block motion estimation in digital video coding. According to the motion trend, a table of the adaptive search order is defined. For each searching iteration, a better search order is derived and then the best matched block can be found in the early search stage. Some experimental results demonstrate the computational advantage of the proposed improved algorithm when compared to previous algorithms, such as the full search algorithm, the successive elimination algorithm, the block sum pyramid algorithm, and the multilevel successive elimination algorithm.
Keywords :
adaptive estimation; data compression; image matching; motion estimation; search problems; video coding; adaptive search order algorithm; block motion estimation; block sum pyramid algorithm; digital video coding; full search algorithm; image matching; improved search algorithm; motion estimation; multilevel successive elimination algorithm; searching iteration; successive elimination algorithm; Computational complexity; Computer science; Councils; Data structures; Image segmentation; Information management; Maximum likelihood estimation; Motion estimation; Signal processing algorithms; Video coding;
Journal_Title :
Signal Processing Letters, IEEE