Abstract
Typical video search is based on queries involving a single shot. We generalize this problem by allowing queries that involve a video clip. We propose two schemes for query by video clip. In the first scheme, retrieval based on key frames where the database and query video are segmented into shots which are represented via key frames. For every query key frame, a similarity value (using color, texture, and motion) is associated with the key frames in the database video clip. Boundaries marking highly similar consecutive shots are then used to generate the set of retrieved video sub-clips. In the second scheme, in retrieval using sub-sampled frames, we uniformly sub-sample the query clip as well as the database video. The retrieval is based on matching color and texture features of the sub-sampled frames. Initial experiments on two video databases show promising results.
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