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IMAGE RETRIEVAL: A STATE OF THE ART APPROACH FOR CBIR

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Author(s): AMANDEEP KHOKHER | DR. RAJNEESH TALWAR

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 3;
Issue: 8;
Start page: 6698;
Date: 2011;
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Keywords: Image retrieval | feature extraction | similarity measures | Euclidean distance | Content-based image retrieval.

ABSTRACT
The emergence of multimedia, the availability of large image archives, and the rapid growth of the World Wide Web Web (WWW) have attracted significant research efforts in providing tools for effective retrieval and management of visual data. A major approach directed towards achieving this goal is to use visual contents ofthe image data to segment, index and retrieve relevant images from the image database. The commonest approaches use the so-called Content-Based Image Retrieval (CBIR) systems. The goal of these systems is to operate on collections of images and, in response to visual queries, extract similar images. The application potential of CBIR for fast and effective retrieval of images is enormous, expanding the use of computer technology to a management tool.
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