Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs

IEEE Transactions on Multimedia, pp. 704-716, 2019.

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Abstract:

We present a novel framework for finding complex activities matching user-described queries in cluttered surveillance videos. The wide diversity of queries coupled with the unavailability of annotated activity data limits our ability to train activity models. To bridge the semantic gap, we propose letting users describe an activity as a s...More

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