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General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

IJMLC 2017 Vol.7(3): 44-48 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2017.7.3.618

Improved Content-Based Image Retrieval via Discriminant Analysis

Smarajit Bose, Amita Pal, Disha Chakrabarti, and Taranga Mukherjee
Abstract—The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases, a specified number of images similar in visual and semantic content to a so- called query image. To bridge the semantic gap that exists between the representation of an image by low-level features (namely, colour, shape, texture) and its high-level semantic content as perceived by humans, CBIR systems typically make use of the relevance feedback (RF) mechanism. RF iteratively incorporates user-given inputs regarding the relevance of retrieved images, to improve retrieval efficiency. One approach is to vary the weights of the features dynamically via feature reweighting. In this work, a novel approach has been proposed for improving the retrieval accuracy of CBIR system which incorporates RF based on feature reweighting using discriminant analysis. Results of a number of experiments have been presented to illustrate the significant improvement is retrieval accuracy with the proposed approach.

Index Terms—Content-based image retrieval, Discriminant Analysis, Feature reweighting, Relevance feedback.

Smarajit Bose and Amita Pal are with the Interdisciplinary Statistical Research Unit, Applied Statistics Division, Indian Statistical Institute, Kolkata, India (e-mail: {smarajit,pamita}@isical.ac.in).
Disha Chakrabarti is with Tata Consultancy Services, Kolkata, India (e-mail: disha.chakrabarti@gmail.com).
Taranga Mukherjee is with the Department of Statistics, University of Calcutta, Kolkata, India (e-mail: tm.custat@gmail.com).


Cite: Smarajit Bose, Amita Pal, Disha Chakrabarti, and Taranga Mukherjee, "Improved Content-Based Image Retrieval via Discriminant Analysis," International Journal of Machine Learning and Computing vol. 7, no. 3, pp. 44-48, 2017.

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