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Indexing Large Online Multimedia Repositories Using Semantic Expansion and Visual Analysis
July-Sept. 2012 (vol. 19 no. 3)
pp. 53-61
Xavier Sevillano, La Salle—Universitat Ramon Lull, Spain
Tomas Piatrik, Queen Mary University of London
Krishna Chandramouli, Queen Mary University of London
Qianni Zhang, Queen Mary University of London
Ebroul Izquierdo, Queen Mary University of London
The proposed framework automatically predicts user tags for online videos from their visual features and associated textual metadata, which is semantically expanded using complementary textual resources.
Index Terms:
Indexing,Internet,Videos,Electronic publishing,Tagging,Feature extraction,Prediction models,Visualization,Semantics,MediaEval,multimedia,large-scale multimedia data,indexing,tagging,geotagging,semantic expansion,visual similarity,bag-of-articles
Citation:
Xavier Sevillano, Tomas Piatrik, Krishna Chandramouli, Qianni Zhang, Ebroul Izquierdo, "Indexing Large Online Multimedia Repositories Using Semantic Expansion and Visual Analysis," IEEE Multimedia, vol. 19, no. 3, pp. 53-61, July-Sept. 2012, doi:10.1109/MMUL.2012.28
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