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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/2001
Title: An improved fast feature-based block motion estimation
Authors: Fok, Yiu-hung
Au, Oscar C.
Keywords: Computational complexity
Feature extraction
Image matching
Motion estimation
Image sampling
Image sequences
Issue Date: Nov-1994
Citation: Proceedings of 1st International Conference on Image Processing. Austin, TX, USA, 13-16 November 1994, IEEE Comput. Soc. Press. Part vol. 3, 1994, p. 741-5 vol. 3. Los Alamitos, CA, USA
Abstract: A fast block matching algorithm in the feature domain was proposed by Fok and Au which achieves a computation reduction factor of N/2 with search block size of NxN. This paper presents an improved fast block matching algorithm in the integral projections feature domain. This algorithm is based on the fast block matching algorithm in the feature domain and a new motion field sub-sampling scheme. By utilizing the properties of the features and the motion field sub-sampling scheme, with a search block size of NxN, the improved algorithm can achieve a computation reduction factor of N while retaining close-to-optimal performance in the mean absolute difference (MAD) sense.
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URI: http://hdl.handle.net/1783.1/2001
Appears in Collections:ECE Conference Papers

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