Journal article
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...
Expand abstract
Actions
Authors
Bibliographic Details
- Journal:
- Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- Volume:
- 2
- Publication date:
- 2003-01-01
- ISSN:
-
1063-6919
Item Description
- 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
Terms of use
- Copyright date:
- 2003
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record