Enabling video annotation using a semantic database extended with visual knowledge
نویسندگان
چکیده
A semantic database has been extended with visual information to enable video annotation. This paper describes a lexical database, WordNet. We show its limitations with respect to describing visual characteristics, and describe an extension to WordNet that contains specific visual information. Having such a semantic database makes video annotation possible for Broadcast News: a domain that can cover any topic and involve a wide variety of events, objects and scenes. Combining basic visual analysis techniques and a semantic database containing visual descriptions avoids the problem developing large numbers of specific object and event detectors. Such a semantic database can be of great value for the analysis of multi-modal information. As far as we know, such a database has not been developed before.
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تاریخ انتشار 2003