2002
DOI: 10.1109/tcsvt.2002.806818
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Efficient and configurable full-search block-matching processors

Abstract: Efficient VLSI architectures for motion estimation using the full-search block-matching algorithm are proposed in this paper. These structures are based on an improved and more efficient two-dimensional single-array architecture with minimum latency, maximum throughput, and full utilization of the hardware resources. This optimized architecture is extended to a class of fully parameterizable multiple array architectures that combine both pipelining and parallel processing techniques and provide the ability to … Show more

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Cited by 40 publications
(29 citation statements)
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“…There are many other block matching algorithms (Nuno, 2002) and their variants available, but differs in the manner how they select the candidate for comparison and what is the motion vector resolution. Although, the full search algorithm is the best one in terms of the quality of the predicted image and its resolution of the motion vector it is very computationally intensive.…”
Section: Fast Search Algorithmsmentioning
confidence: 99%
“…There are many other block matching algorithms (Nuno, 2002) and their variants available, but differs in the manner how they select the candidate for comparison and what is the motion vector resolution. Although, the full search algorithm is the best one in terms of the quality of the predicted image and its resolution of the motion vector it is very computationally intensive.…”
Section: Fast Search Algorithmsmentioning
confidence: 99%
“…Reference [88] modified the 1-D linear array in [75] to support half-pixel precision, AP mode, PB mode, and RRU mode for H.263+. Reference [89] improved the architecture in [74] by changing the snake scan of search positions to regular column scan (top to bottom and then left to right) and using a circular shift scheme for PEs with half-reduced SRs. Reference [90] worked on an architecture design of variable block sizes ME for H.264/AVC.…”
Section: Fsbma Architecturesmentioning
confidence: 99%
“…For example, reference [11] is the extension of [5]. Reference [12] is proposed based on [9], and reference [13] combined [10] with multilevel successive elimination algorithm [14], [15]. Reference [16] is the extension of [6].…”
Section: Impact Of Supporting Vbsme In Different Hardware Architementioning
confidence: 99%