Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Explicit and implicit concept-based video retrieval with bipartite graph propagation model
Proceedings of the international conference on Multimedia
Towards textually describing complex video contents with audio-visual concept classifiers
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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Multimedia event detection has drawn a lot of attention in recent years. Given a recognized event, in this paper, we conduct a pilot study of the multimedia event recounting problem, which answers the question why this video is recognized as this event, i.e. what evidences this decision is made on. In order to provide a semantic recounting of the multimedia event, we adopt a concept-based event representation for learning a discriminative event model. Then, we present a recounting approach that exactly recovers the contribution of semantic evidence to the event classification decision. This approach can be applied on any additive discriminative classifiers. The promising result is shown on the MED11 dataset that contains 15 events in thousands of YouTube like videos.