Proceedings IEEE International Conference on Application-Specific Systems, Architectures, and Processors. ASAP 2003
DOI: 10.1109/asap.2003.1212853
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A VLSI architecture for advanced video coding motion estimation

Abstract: With the advent of new video standards such as

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Cited by 32 publications
(16 citation statements)
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“…From Table I, the proposed architecture has the smallest on-chip memory size. It has higher gate count than the architecture in [2]- [4] however, it has higher throughput. The architecture in [5] has better throughput than the proposed architecture at the cost of larger gate count and on-chip memory size.…”
Section: Prototyping Resultsmentioning
confidence: 89%
See 2 more Smart Citations
“…From Table I, the proposed architecture has the smallest on-chip memory size. It has higher gate count than the architecture in [2]- [4] however, it has higher throughput. The architecture in [5] has better throughput than the proposed architecture at the cost of larger gate count and on-chip memory size.…”
Section: Prototyping Resultsmentioning
confidence: 89%
“…The reported gate count is the estimated gate count by the synthesis tool "Synplify Pro." Table I compares between the proposed architecture and the architectures published in [2]- [5]. From Table I, the proposed architecture has the smallest on-chip memory size.…”
Section: Prototyping Resultsmentioning
confidence: 94%
See 1 more Smart Citation
“…With 0.35 μm technology and a clock frequency of 67 MHz (the operating voltage is not stated) the design has a simulated power consumption of 737 mW without frame memories. In [19], a QCIF@15 fps implementation using variable block-size Full Search is presented. With 0.13 μm technology, a clock frequency of 6.7 MHz, and an operating voltage of 1.2 V the design has a simulated power consumption of 9.1 mW without frame memories.…”
Section: Related Workmentioning
confidence: 99%
“…Although VBS-BMA achieves higher coding performance than that of FBS-BMA, it requires a high computation effort since 41 motion vectors of 7 different sizes should be computed for each macroblock. Therefore, many efficient hardware architectures such as systolic array [8], 1-D processing element (PE) array [6] and 2-D PE array [4] [7] [10] have been proposed for implementing VBS-BMA. The 1-D PE array is a simple structure, as it is easier to control and less gates than a 2-D PE array, but it is normal to search the sum of absolute difference (SAD) against only one row or a column of the macroblock at a time.…”
Section: Introductionmentioning
confidence: 99%