An integrated framework for the management of video collection

Authors:
Nicolas Moënne-Loccoz;Bruno Janvier;Stéphane Marchand-Maillet;Eric Bruno
Affiliations:
Computer Science Department, Viper group - CVMlab - University of Geneva, Geneva 4, Switzerland;Computer Science Department, Viper group - CVMlab - University of Geneva, Geneva 4, Switzerland;Computer Science Department, Viper group - CVMlab - University of Geneva, Geneva 4, Switzerland;Computer Science Department, Viper group - CVMlab - University of Geneva, Geneva 4, Switzerland
Venue:
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
Year:
2004

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Abstract

Video document retrieval is now an active part of the domain of multimedia retrieval. However, unlike for other media, the management of a collection of video documents adds the problem of efficiently handling an overwhelming volume of temporal data. Challenges include balancing efficient content modeling and storage against fast access at various levels. In this paper, we detail the framework we have built to accommodate our developments in content-based multimedia retrieval. We show that not only our framework facilitates the developments of processing and indexing algorithms but it also opens the way to several other possibilities such as rapid interface prototyping or retrieval algorithms benchmarking. In this respect, we discuss our developments in relation to wider contexts such as MPEG-7 and The TREC Video Track.