The Study of Approaches of Content Based Image Retrieval

8 Pages Posted: 31 Dec 2019 Last revised: 27 Jul 2020

See all articles by Reshma Narayan

Reshma Narayan

VTU RRC

Dr Venkatesh T

Ghousia

Satheesh Chandra Reddy

S J C Institute of Technology

Lakshmi Narayan

BGS Polytechnic,

Anantha Murthy

AVP,Bank of America,

Date Written: May 17, 2019

Abstract

In a content-based image retrieval system (CBIR), the most issue is to extract the image features that effectively represent the image contents as more information. Such an extraction needs a detailed analysis of retrieval performance of image options and in order to increase the retrieval efficiency of an image, there are various algorithms represented in a content based image retrieval process and such algorithms are explained here and this paper attempts to provide a very effective survey of the recent technical approaches in the current world of image retrieval. The recent publications are included in this literature survey covering all the aspects of the research in the content based image retrieval, including the images that has low image feature extractions and also tells the effective categorization of the image retrieval.

Keywords: CBIR, image retrieval, image descriptors, color, shape, text

Suggested Citation

Narayan, Reshma and T, Dr Venkatesh and Reddy, Satheesh Chandra and Narayan, Lakshmi and Murthy, Anantha, The Study of Approaches of Content Based Image Retrieval (May 17, 2019). Proceedings of the Second International Conference on Emerging Trends in Science & Technologies For Engineering Systems (ICETSE-2019), Available at SSRN: https://ssrn.com/abstract=3507930 or http://dx.doi.org/10.2139/ssrn.3507930

Reshma Narayan (Contact Author)

VTU RRC

VTU RRC, Students
India

Dr Venkatesh T

Ghousia

ramanagar
India

Satheesh Chandra Reddy

S J C Institute of Technology

B.B. Road
Chikkaballapur, 562 101
India

Lakshmi Narayan

BGS Polytechnic,

Chikkaballapur
India

Anantha Murthy

AVP,Bank of America,

texas
American Samoa

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