The MIR Flickr Retrieval Evaluation Proposal Based on User Tags and Textual Passwords( Vol-3,Issue-4,April 2017 ) |
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Author(s): Pavan Gujjar Panduranga Rao, Dr. P. Srinivasa Rao , Dr. G. Lavanya Devi |
Total View : 972 Downloads : 164 Page No: 343-349 DOI: 10.24001/ijaems.3.4.10 |
Keywords: |
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Content-based image retrieval (CBIR), relevance feedback, image collections, benchmarking, Graphical Password Authentication. |
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Abstract: |
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In most well known image retrieval test sets, the imagery typically cannot be freely distributed or is not representative of a large community of users. In this paper we present a collection for the MIR community comprising 69,000 images from the Flickr website which are redistributable for research purposes and represent a real community of users both in the image content and image tags. We have extracted the tags and EXIF image meta data, and also make all of these publicly available. In addition we discuss several challenges for benchmarking retrieval and classification methods and applications. |
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