Semantic-Gap-Oriented Active Learning For Multilabel Image Annotation

IEEE-Inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
Ieee Transactions On Image Processing, 2012, 21 (4), pp. 2354 - 2360
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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.
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