It is a very important issue to quickly retrieve semantic information from a vast multimedia database. In this paper, we propose a statistic-based algorithm to retrieve the videos that contain the requested object motion from video database. In order to speed up our algorithm, we only utilize the local motion embedded in the region-of-interest as the query to retrieve data from MPEG bitstreams. Experimental results demonstrate that our fast video retrieval algorithm is powerful in terms of accuracy and efficiency. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Chen, J. F., Liao, H. Y. M., & Lin, C. W. (2005). Fast video retrieval via the statistics of motion within the regions-of-interest. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 381–387). Springer Verlag. https://doi.org/10.1007/11553939_55
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