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International Conference on Information Technology: Coding and Computing (ITCC '01)
A Novel Cellular Search Algorithm for Block-Matching Motion Estimation
Las Vegas, NV
April 02-April 04
ISBN: 0-7695-1062-0
Jeanson Hung, National Taiwan Ocean University
Hung-Shung Wong, National Taiwan Ocean University
Jung-Hua Wang, National Taiwan Ocean University
Abstract: A novel cellular search (CS) algorithm for block-matching motion estimation is presented. Two different search patterns, namely the Large Cellular Search Pattern (LCSP) and the Small Cellular Search Pattern (SCSP), are employed to perform searching the best matching block. The LCSP assumes that the best matching block can be located at any direction of the LCSP center, and we show that the number of blocks via LCSP search is less than other algorithms. Following the LCSP search, the SCSP is used to search those nearby the center block. We show that the CS algorithm is computationally efficient, it requires less computation time than other algorithms such as the three-step search (TSS) [1], the new three-step search (NTSS) [2], and the four-step search (4SS) [3].
Index Terms:
Motion estimation, Block- matching method, Video compression, Cellular search, MPEG
Citation:
Jeanson Hung, Hung-Shung Wong, Jung-Hua Wang, "A Novel Cellular Search Algorithm for Block-Matching Motion Estimation," itcc, pp.0629, International Conference on Information Technology: Coding and Computing (ITCC '01), 2001
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