(Un)Tagged Social Image Retrieval
- Authors: Xirong Li1, Cees G.M. Snoek2, Marcel Worring3
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View Affiliations Hide Affiliations1 Renmin University of China 2 University of Amsterdam 3 University of Amsterdam
- Source: Internet Multimedia Search and Mining , pp 111-129
- Publication Date: September 2013
- Language: English
(Un)Tagged Social Image Retrieval, Page 1 of 1
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Social image retrieval is increasingly important for managing and accessing the rapidly growing social-tagged images. In this chapter, we address social image retrieval from two directions which tackle the subjectiveness and the incompleteness of social tagging, respectively. To make subjective social tagging objective, we introduce a simple and effective neighbor voting algorithm to estimate the relevance of a tag with respect to the visual content it is describing. To build a concept index for untagged or incompletely tagged images, we study a new learning scenario where concept detectors are trained with negative examples created by social tagging, rather than by traditional expert labeling. Empirical studies on realistic subsets of Flickr data demonstrate the potential of the proposed algorithms for searching (un)tagged social images.
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