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Information & computer science publications October 1, 2012 Conference Paper

Supervised acoustic concept extraction for multimedia event detection

SRI International October 1, 2012

Citation

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S. Pancoast, M. Akbacak, and M. Hewlett Sanchez, “Supervised acoustic concept extraction for multimedia event detection,” in Proc. ACM International Workshop on Audio and Multimedia Methods for Large-scale Video Analysis, 2012, pp. 9–14.

Abstract

Because of the popularity of online multimedia videos, there has been much interest in recent years in acoustic concept detection and classification for the improvement of online video search. In this paper, we present our acoustic concept annotation effort in user-submitted quality videos. We decide on the acoustic concept categories so that their labels can be used as low-level features to distinguish higher-level video events in a multimedia event detection (MED) task. Using thorough acoustic concept annotations, we train acoustic concept models and use these to generate features for a MED task in the form of what we refer to as a segmental GMM-based co-occurrence feature vector.

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Information & computer science publications, Publication Conference Paper

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