Semi-supervised cross feature learning for semantic concept detection in videos

For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficiency of labeled training samples. Multi-view semi-supervised learning algorithms such as co-training may help by incorporati...

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Bibliographic Details
Published in2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1; pp. 657 - 663 vol. 1
Main Authors Rong Yan, Naphade, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
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