Efficient hybrid tree/linear array architectures for block-matching motion estimation algorithms
Resource
Vision, Image and Signal Processing, IEE Proceedings-
Journal
IEE Proceedings: Vision, Image and Signal Processing
Journal Volume
143
Journal Issue
4
Pages
217 - 222
Date Issued
1996-08
Date
1996-08
Author(s)
DOI
1350-245X
Abstract
Execution latency and I/O bandwidth play essential roles in determining the effectiveness and the cost of a parallel hardware implementation for block-matching motion estimation algorithms. Unfortunately, almost all traditional architecture designs, e.g. the twodimensional mesh-connected systolic array architecture (2DMCSA), and the tree-type structure (TTS), fail to take these two factors into account simultaneously. As a result, they suffer from either large execution latency or huge input bandwidth requirements. The authors propose a family of tree/linear architectures, which efficiently optimise the total implementation cost by combining the merits of the 2DMCSA and the TTS. Moreover, to facilitate hardware designs, the authors present the tree-cut techniques and the on-chip buffer design method to meet computational demands of various video compression applications. Since the proposed architectures are capable of executing the . exhaustive search and the fast search blockmatching algorithms, they offer relatively flexible and cost-effective hardware solutions for a wide range of video coding systems, including CD-ROM, portable visual communications systems and high-definition TV. © IEE, 1996.
Subjects
Motion estimation; Video coding; Videoconferencing
Other Subjects
Algorithms; Bandwidth; CD-ROM; Computer architecture; Computer hardware; Digital signal processing; Estimation; High definition television; Image coding; Image compression; Optimization; Parallel processing systems; Block matching motion estimation algorithms; Fast search block matching algorithms; Hybrid tree linear array architectures; Two dimensional mesh connected systolic arrays architecture; Image communication systems
Type
journal article
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