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International Journal of Advanced Engineering, Management and Science


The MIR Flickr Retrieval Evaluation Proposal Based on User Tags and Textual Passwords

( Vol-3,Issue-4,April 2017 )

Author(s): Pavan Gujjar Panduranga Rao, Dr. P. Srinivasa Rao , Dr. G. Lavanya Devi



Total View : 619
Downloads : 10
Page No: 343-349
ijaems crossref doiDOI: 10.24001/ijaems.3.4.10

Keywords:

Content-based image retrieval (CBIR), relevance feedback, image collections, benchmarking, Graphical Password Authentication.

Abstract:

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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