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2005 IEEE International Conference on Multimedia and Expo
An Extended Motion-Estimation Architecture Applied to Shape Recognition
Amsterdam, Netherlands
July 06-July 06
ISBN: 0-7803-9331-7
J. Schlessman, Princeton University Department of Electrical Engineering, jschless@princeton.edu
An architecture for shape recognition is presented, with emphasis on low-latency and power efficiency. This architecture is an extension of an existing architecture used for motion estimation. A number of algorithms were mapped to this architecture. Bounds related to power are given per frame for memory access rates. Face detection within CIPR CIF sequences was used as a target application, with feasible frame rates of 30fps attained. Power results for this extended architecture correlate with power consumption of the existing architecture.
Citation:
J. Schlessman, S. Saha, W. Wolf, S.S. Bhattacharya, "An Extended Motion-Estimation Architecture Applied to Shape Recognition," icme, pp.1504-1507, 2005 IEEE International Conference on Multimedia and Expo, 2005
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