TY - GEN
T1 - Block-based motion vector smoothing for periodic pattern region
AU - Sohn, Young Wook
AU - Kang, Moon Gi
PY - 2007
Y1 - 2007
N2 - When finding true motion vectors in video sequences, multiple local minima areas such as periodic pattern cause severe motion errors. There have been efforts to reduce motion errors in the region, where they use exhaustive full-search motion estimation scheme to analyze or find a solution for the region. To find robust motion vectors in the periodic pattern region using non-exhaustive motion estimator, we propose a recursive motion vector smoothing method. Recursively averaged vectors are used for periodic pattern region and the input vectors from a conventional search method are used for other regions, controlled by a weighting parameter. Properties of periodic pattern is considered in calculating the parameter to adaptively weight on the input or the mean vectors. Experimental results show motion vector improvements in the periodic pattern region with the input vectors from non-exhaustive search method.
AB - When finding true motion vectors in video sequences, multiple local minima areas such as periodic pattern cause severe motion errors. There have been efforts to reduce motion errors in the region, where they use exhaustive full-search motion estimation scheme to analyze or find a solution for the region. To find robust motion vectors in the periodic pattern region using non-exhaustive motion estimator, we propose a recursive motion vector smoothing method. Recursively averaged vectors are used for periodic pattern region and the input vectors from a conventional search method are used for other regions, controlled by a weighting parameter. Properties of periodic pattern is considered in calculating the parameter to adaptively weight on the input or the mean vectors. Experimental results show motion vector improvements in the periodic pattern region with the input vectors from non-exhaustive search method.
UR - http://www.scopus.com/inward/record.url?scp=37849026516&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-74260-9_44
DO - 10.1007/978-3-540-74260-9_44
M3 - Conference contribution
AN - SCOPUS:37849026516
SN - 9783540742586
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 491
EP - 500
BT - Image Analysis and Recognition - 4th International Conference, ICIAR 2007, Proceedings
PB - Springer Verlag
T2 - 4th International Conference on Image Analysis and Recognition, ICIAR 2007
Y2 - 22 August 2007 through 24 August 2007
ER -