Automatic evaluation method for rushes summary content

Authors:
Emilie Dumont;Bernard Mérialdo
Affiliations:
Département Communications Multimédia, Institut Eurécom, Sophia-Antipolis cedex, France;Département Communications Multimédia, Institut Eurécom, Sophia-Antipolis cedex, France
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

During the last years, the developpment of rushes video summarization systems has greatly increased thanks to the international evaluation campaign TRECVID. In this paper, we propose an automation of the manual TRECVID evaluation using machine learning techniques. We train an automatic assessor to perform evaluation on summary content and we show a high correlation between the manual evaluation performed in TRECVID 2008 and our automatic assessor.