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Content Based Image Retrieval System
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Author(s): Mohd Omar (Maulana Azad National Urdu University, India), Khaleel Ahmad (Maulana Azad National Urdu University, India)and M.A. Rizvi (NITTTR, India)
Copyright: 2016
Pages: 18
Source title:
Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing
Source Author(s)/Editor(s): Ganesh Chandra Deka (Regional Vocational Training Institute (RVTI) for Women, India), G.M. Siddesh (Ramaiah Institute of Technology, India), K. G. Srinivasa (M S Ramaiah Institute of Technology, Bangalore, India)and L.M. Patnaik (IISc, Bangalore, India)
DOI: 10.4018/978-1-4666-8853-7.ch017
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Abstract
In a world of virtualization, where we are having a larger source of images and descriptions available to modern world and based on their requirement it has been utilized from stored information, data center or cloud to larger audience, but at same time rising number of images requires good tools to store the data and retrieve data. Along with this there is a major importance of Quick search and retrieval tools for these growing images to retrieve information quickly and accurately. High demand for automated or computer assisted classification, query and retrieval methods is required to access huge image databases because such method will try to overcome the drawback of higher cost of manual classification and retrieval of relevant image. Scope as researchers to develop automated methods in image features for indexing and retrieval of images related to texture, feature and color is in demand.
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