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Searching informative concept banks for video event detection (2013)
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| Venue: | In Proceedings of the ACM International Conference on Multimedia Retrieval |
| Citations: | 8 - 3 self |
BibTeX
@INPROCEEDINGS{Mazloom13searchinginformative,
author = {Masoud Mazloom and Efstratios Gavves and Cees G. M. Snoek},
title = {Searching informative concept banks for video event detection},
booktitle = {In Proceedings of the ACM International Conference on Multimedia Retrieval},
year = {2013}
}
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Abstract
An emerging trend in video event detection is to learn an event from a bank of concept detector scores. Different from existing work, which simply relies on a bank containing all available detectors, we propose in this paper an algorithm that learns from examples what concepts in a bank are most informative per event. We model finding this bank of informative concepts out of a large set of concept detectors as a rare event search. Our proposed approximate solution finds the optimal concept bank using a cross-entropy optimization. We study the behavior of video event detection based on a bank of informative concepts by performing three experiments on more than 1,000 hours of arbitrary internet video from the TRECVID multimedia event detection task. Starting from a concept bank of 1,346 detectors we show that 1.) some concept banks are more informative than others for specific events, 2.) event detection using an automatically obtained informative concept bank is more robust than using all available concepts, 3.) even for small amounts of training examples an informative concept bank outperforms a full bank and a bag-of-word event representation, and 4.) we show qualitatively that the informative concept banks make sense for the events of interest, without being programmed to do so. We conclude that for concept banks it pays to be informative.
Keyphrases
informative concept bank video event detection concept bank informative concept concept detector score approximate solution full bank available concept available detector rare event search specific event trecvid multimedia event detection task large set cross-entropy optimization arbitrary internet video event detection optimal concept bank bag-of-word event representation small amount training example concept detector
