A Frame-Level FSBM Motion Estimation Architecture with Large Search Range

Authors:
Li-Chang Liu;Jong-Chih Chien;Henry Y.-H. Chuang;C. C. Li
Affiliations:
-;-;-;-
Venue:
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Year:
2003

Citing 0
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Abstract

Motion estimation plays an important role in video compression to remove temporal redundancies between successive frames. It is also useful in aiding detection of moving objects. Full-search block-matching (FSBM) is the most preferred algorithm for motion estimation. Frame-level pipelined FSBM architectures have advantages over block-level pipelined architectures in their simpler control and reduced number of memory accesses. In this paper, a frame-level pipelined FSBM motion estimation array processor for large search range p = qN is presented where q 驴陆 and N脳N is the block size.