IIIT Hyderabad Publications |
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Image Annotation in Presense of Noisy LablesAuthors: Chandrasekhar V,Shailesh Kumar,C V Jawahar Conference: PReMI 2013 Date: 2013-12-10 Report no: IIIT/TR/2013/111 AbstractLabels associated with social images are valuable source of information for tasks of image annotation, understanding and retrieval. These labels are often found to be noisy, mainly due to the collabo- rative tagging activities of users. Existing methods on annotation have been developed and veried on noise free labels of images. In this paper, we propose a novel and generic framework that exploits the collective knowledge embedded in noisy label co-occurrence pairs to derive robust annotations. We compare our method with a well-known image annota- tion algorithm and show its superiority in terms of annotation accuracy on benchmark Corel5K and ESP datasets in presence of noisy labels. Full paper: pdf Centre for Visual Information Technology |
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