Abstract
A fast three-step search (FTSS) block matching algorithm for motion estimation is described. The method is based on the real world image sequence's characteristic of centre-biased motion vector distribution and uses centre-biased checking point patterns and a small number of search locations to perform fast block matching. Computational complexity is reduced by employing an 11 x 11 search window rather than the traditional 15 x 15 window. Simulation results are presented which show that the FTSS algorithm provides competitive performance at faster speed when compared with similar techniques such as full search (FS), three-step search (TSS), new three-step search (NTSS) and four-step search (4SS). The advantages of the novel algorithm for hardware implementation are discussed with particular relevance to applying it to video coding.
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© 1997 Springer-Verlag Berlin Heidelberg
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Booth, W., Noras, J.M., Xu, D. (1997). A novel fast three-step search algorithm for block-matching motion estimation. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_270
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DOI: https://doi.org/10.1007/3-540-63931-4_270
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