2 September 2009 Motion vector search window prediction in memory-constrained systems
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Proceedings Volume 7443, Applications of Digital Image Processing XXXII; 74430E (2009); doi: 10.1117/12.829404
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States
Abstract
The problem of accurate motion vector (MV) prediction with a small search window size for memory-constrained systems is studied in this work. The spatial and temporal correlations of MVs are first investigated. Then, two effective search window prediction algorithms are developed to determine the location, size, shape of a search window for each macroblock. The trade-off between the search window size/shape and distortion is analyzed. Finally, the efficiency of the proposed algorithms is demonstrated by experimental results.
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Chung-Cheng Lou, Szu-Wei Lee, C.-C. Jay Kuo, "Motion vector search window prediction in memory-constrained systems", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74430E (2 September 2009); doi: 10.1117/12.829404; https://doi.org/10.1117/12.829404
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KEYWORDS
Algorithm development

Computer programming

Motion estimation

Video coding

Data modeling

Detection and tracking algorithms

Distortion

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