Improving access to multimedia using multi-source hierarchical meta-data

Authors:
Trevor P. Martin;Yun Shen
Affiliations:
Artificial Intelligence Group, Dept of Engineering Maths, University of Bristol, UK;Artificial Intelligence Group, Dept of Engineering Maths, University of Bristol, UK
Venue:
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
Year:
2005

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Abstract

Efficient retrieval of multi-media content depends on the availability of adequate meta-data to indicate the nature of the content. Such meta-data often contains useful hierarchical categorisation but is frequently not consistent between different sources. We outline a method to identify equivalent instances which are described by different meta-data schemata, and to find correspondences between hierarchies, which may be used to improve instance matching. Some successful initial tests of the method on large movie databases are reported.