Query by Few Video Examples Using Rough Set Theory and Partially Supervised Learning
In this paper, we develop a video retrieval method based on Query-By-Example (QBE) approach, where a user represents a query by providing example shots. QBE then retrieves shots similar to example shots in terms of color, edge, motion, etc. We consider QBE as effective because the query is represented by features in example shots without the ambiguity of semantic contents. In addition, QBE can perform retrieval for any queries as long as the user can provide example shots.
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