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Video content annotation using visual analysis and a large semantic knowledgebase

Abstract:

We present a novel approach to automatically annotating broadcast video. To manage the enormous variety of objects, events and scenes in video problem domains such as news video, we couple generic image analysis with a semantic database, WordNet, containing huge amounts of real-world information. Object and event recognition are performed by searching WordNet for concepts jointly supported by image evidence and topic context derived from the video transcript. No object- or event-specific trai...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
Journal:
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume:
2
Publication date:
2003-01-01
ISSN:
1063-6919
Language:
English
Pubs id:
pubs:439074
UUID:
uuid:b82964e6-356a-4d40-8ed4-6cdc2d2152df
Local pid:
pubs:439074
Source identifiers:
439074
Deposit date:
2014-02-08

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