Semantic-gap-oriented active learning for multilabel image annotation

User interaction is an effective way to handle the semantic gap problem in image annotation. To minimize user effort in the interactions, many active learning methods were proposed. These methods treat the semantic concepts individually or correlatively. However, they still neglect the key motivatio...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 4 vom: 21. Apr., Seite 2354-60
1. Verfasser:	Tang, Jinhui (VerfasserIn)
Weitere Verfasser:	Zha, Zheng-Jun, Tao, Dacheng, Chua, Tat-Seng
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2012
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Letter Research Support, Non-U.S. Gov't