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Tags associated with social images are valuable information source for superior image search and retrieval experiences. Due to the nature of tagging, many tags associated with images are not visually descriptive. Consequently, presence of these noisy tags may reduce the effectiveness of tags' role in image retrieval. To address this problem, the authors demonstrate iAVATAR (interActive VisuAl representative TAgs Relationship) system that uses the notion of Normalized Image Tag Clarity (NITC) to find visual-representative tags. A visual-representative tag effectively describes the visual content of the images.
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