NDLI: A novel approach for content based image retrieval in context of combination S C techniques

Content Provider	IEEE Xplore Digital Library
Author	Khodaskar, A.A. Ladhake, S.A.
Copyright Year	2015
Description	Author affiliation: Comput. Sci. & Eng., SIPNA COET, Amravati, India (Khodaskar, A.A.; Ladhake, S.A.)
Abstract	This paper presents content based image retrieval (CBIR) system using immense power of combination of soft computing techniques such as artificial neural network, fuzzy logic and support vector machine. Traditional content based image retrieval system are retrieved images using low level visual features, hence, suffer from semantic gap. There is need to reduce semantic gap and improve accuracy of CBIR even though size of image databases increase rapidly, because accuracy and efficiency of content-based image retrieval system is extremely important in any real world application. Proposed innovative framework for content-based image retrieval based on combination of three soft computing techniques enormously improves accuracy of image retrieval. A user gives input to the system in the form of specified query image and system return set of relevant images. Proposed system employs relevance feedback based on SVM that intelligently classify images relevant or irreverent to given query image. Performance of proposed content based image retrieval system pragmatically evaluated in term of precision, recall and accuracy.
Starting Page	1
Ending Page	6
File Size	2997217
Page Count	6
File Format	PDF
ISBN	9781479968046
e-ISBN	9781479968053
DOI	10.1109/ICCCI.2015.7218060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Support vector machines Image color analysis Artificial Neural Network Content based Image Retrieval Image retrieval Artificial neural networks Feature extraction Support vector machine Soft Computing techniques
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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