Paper Info
Title
A frame-level FSBM motion estimation architecture with large search range
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≥ 1/2 and N×N is the block size.
Year
DOI
Venue
2003
10.1109/AVSS.2003.1217939
AVSS
Keywords
Field
DocType
block-level pipelined architecture,video signal processing,search range,large search range p,image matching,large search range,important role,frame-level fsbm motion estimation,full-search block-matching,motion estimation architecture,memory access,video compression,data compression,block size,search problems,motion estimation,frame-level pipelined fsbm,preferred algorithm,array processor,temporal redundancies,video coding,frame-level pipelined fsbm architecture,object detection,redundancy,fsbm motion estimation array,moving object detection,computer architecture,pipelines,wavelet transforms
Block size,Computer vision,Block-matching algorithm,Quarter-pixel motion,Computer science,Motion compensation,Video tracking,Artificial intelligence,Motion estimation,Data compression,Video compression picture types
Conference
ISBN
Citations 
PageRank 
0-7695-1971-7
8
0.77
References 
Authors
4
4
Name
Order
Citations
PageRank
Li-Chang Liu1277.58
Jong-Chih Chien2174.46
Henry Y. H. Chuang314020.25
C. C. Li46511.88