Motion trajectory based video indexing and retrieval
نویسندگان
چکیده
This paper presents a technique to efficiently index and retrieve video clips in terms of motion-trajectory-based similarity. We describe the motion trajectory in three representations: the horizontal and vertical movements of the trajectory, and the motion trail that indicates shape of the trajectory. Each representation is approximated by a polynomial function. We index the polynomial coefficients and combine different spatio-temporal characteristics to provide flexible retrieval processes. A unified framework is also proposed to deal with various query types: queryby-example, query-by-sketch, and query-by-specification.
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تاریخ انتشار 2002