MPEG-7-based description infrastructure for an audiovisual content analysis and retrieval system

Werner Bailer; Peter Schallauer; Michael Hausenblas; Georg Thallinger

doi:10.1117/12.586884

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17 January 2005 MPEG-7-based description infrastructure for an audiovisual content analysis and retrieval system

Werner Bailer, Peter Schallauer, Michael Hausenblas, Georg Thallinger

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Proceedings Volume 5682, Storage and Retrieval Methods and Applications for Multimedia 2005; (2005) https://doi.org/10.1117/12.586884
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

We present a case study of establishing a description infrastructure for an audiovisual content-analysis and retrieval system. The description infrastructure consists of an internal metadata model and access tool for using it. Based on an analysis of requirements, we have selected, out of a set of candidates, MPEG-7 as the basis of our metadata model. The openness and generality of MPEG-7 allow using it in broad range of applications, but increase complexity and hinder interoperability. Profiling has been proposed as a solution, with the focus on selecting and constraining description tools. Semantic constraints are currently only described in textual form. Conformance in terms of semantics can thus not be evaluated automatically and mappings between different profiles can only be defined manually. As a solution, we propose an approach to formalize the semantic constraints of an MPEG-7 profile using a formal vocabulary expressed in OWL, which allows automated processing of semantic constraints. We have defined the Detailed Audiovisual Profile as the profile to be used in our metadata model and we show how some of the semantic constraints of this profile can be formulated using ontologies. To work practically with the metadata model, we have implemented a MPEG-7 library and a client/server document access infrastructure.

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Werner Bailer, Peter Schallauer, Michael Hausenblas, and Georg Thallinger "MPEG-7-based description infrastructure for an audiovisual content analysis and retrieval system", Proc. SPIE 5682, Storage and Retrieval Methods and Applications for Multimedia 2005, (17 January 2005); https://doi.org/10.1117/12.586884

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