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Content-Based Image Retrieval: An Assessment

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Content-Based Image Retrieval: An Assessment


Santosh Kumar Swarnkar | Prof. Avinash Sharma

https://doi.org/10.31142/ijtsrd21708



Santosh Kumar Swarnkar | Prof. Avinash Sharma "Content-Based Image Retrieval: An Assessment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3, April 2019, pp.154-156, URL: https://www.ijtsrd.com/papers/ijtsrd21708.pdf

The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval. With the ignorance of visual content as a ranking clue, methods with text search techniques for visual retrieval may suffer inconsistency between the text words and visual content. Content-based image retrieval (CBIR), which makes use of the representation of visual content to identify relevant images, has attracted sustained attention in recent two decades. Such a problem is challenging due to the intention gap and the semantic gap problems. Numerous techniques have been developed for content-based image retrieval in the last decade. The purpose of this paper is to categorize and evaluate those algorithms proposed during the period of 2003 to 2016. We conclude with several promising directions for future research.

content-based image retrieval, visual representation, indexing, similarity measurement, spatial context, search re-ranking


IJTSRD21708
Volume-3 | Issue-3, April 2019
154-156
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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