A conceptual framework for automatic text-based indexing and retrieval in digital video collections

Authors:
Mohammed Belkhatir;Mbarek Charhad
Affiliations:
Monash University, School of Information Technology;FSM, Computer Science Department, Tunisia
Venue:
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Year:
2007

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Abstract

The growing need for 'intelligent' video retrieval systems leads to new architectures combining multiple characterizations of the video content that rely on expressive frameworks while providing fully-automated indexing and retrieval processes. As a matter of fact, addressing the problem of combining modalities for video indexing and retrieval is of huge importance and the only solution for achieving significant retrieval performance. This paper presents a multi-facetted conceptual framework integrating multiple characterizations of the visual and audio contents for automatic video retrieval. It relies on an expressive representation formalism handling high-level video descriptions and a full-text query framework in an attempt to operate video indexing and retrieval beyond trivial low-level processes, keyword-annotation frameworks and state-to-the art architectures loosely-coupling visual and audio descriptions.