Multimedia applications

Authors:
Duminda Wijesekera;Daniel Barbará
Affiliations:
Assistant Professor of Information and Software Engineering, George Mason University, Fairfax, Virginia;Professor, Department of Information and Software Engineering, George Mason University, Fairfax, Virginia
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

As multimedia proliferate throughout the computing domain, ever more documents are being made using semantically rich audiovisual media. Consequently, mining knowledge hidden in multimedia documents is a complex task that involves fusing data from many media and depends upon basic capabilities of identifying basic features in audio and video streams. Existing work in this area mines for cinematic structures, interesting audiovisual sequences and spatiotemporal rules, and medical imaging.