Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/100
Title: | CBIR with RF: Which technique for which image | Authors: | Belattar, Khadidja Mostefai, Sihem |
Affiliations: | Faculty of Information and Communication Technology (ICT) Faculty of Information and Communication Technology (ICT) |
Keywords: | Content Based Image Retrieval;Relevance Feedback;heuristic approaches;learning algorithms | Issue Date: | 30-Jan-2014 | Publisher: | IEEE | Conference: | 3rd International Symposium ISKO-Maghreb | Abstract: | In the current decade, we are witnessing a great interest in Content Based Image Retrieval (CBIR) together with a wealth of promising technologies, paved for a large number of new mechanisms and systems. In terms of mechanisms, a strong trend towards the employment of diverse Relevance Feedback (RF) approaches in CBIR systems to capture image(s) of interest has emerged. However, the need to select a particular technique in a given application domain depends on the nature of images in the collection at hand. So our paper mainly reviews and compares different approaches of CBIR using RF. Its ultimate goal is to present information about image database aspects and image features setting so as to support the selection of the appropriate CBIR with RF Techniques. |
URI: | http://dspace.univ-constantine2.dz/handle/123456789/100 | DOI: | 10.1109/ISKO-Maghreb.2013.6728129 |
Appears in Collections: | Conference Paper |
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Ammancsit2013_submission_173.PDF | 291.56 kB | Adobe PDF | View/Open |
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