Title :
A fuzzy search algorithm for the estimation of motion vectors
Author :
Roan, Yun-Teng ; Chen, Pei-Yin
Author_Institution :
Dept. of Electron. Eng., Southern Taiwan Univ. of Technol., Tainan, Taiwan
fDate :
6/1/2000 12:00:00 AM
Abstract :
The block motion estimation/compensation techniques are efficient methods to reduce the required bitrate by eliminating temporal redundancy of the image sequence. In this paper, an efficient search algorithm for block motion estimation is presented. By using the inter-block and inter-frame fuzzy prediction, the algorithm can determine the motion vectors of image blocks quickly and correctly. According to the experimental results, our algorithm performs better than other search algorithms, such as TSS, NTSS, FSS, BBGDS, SES, PSA, GPS, and FPS in terms of seven different measures
Keywords :
fuzzy systems; image sequences; motion compensation; motion estimation; prediction theory; search problems; bit rate reduction; block motion estimation/compensation; efficient search algorithm; experimental results; fuzzy search algorithm; image blocks; image sequence; inter-block fuzzy prediction; inter-frame fuzzy prediction; motion vector estimation; search algorithms; temporal redundancy; video coder; Broadcasting; Frequency selective surfaces; Fuzzy logic; Fuzzy reasoning; Global Positioning System; Image sequences; Motion estimation; Multimedia communication; Performance evaluation; Video compression;
Journal_Title :
Broadcasting, IEEE Transactions on