doi: 10.7763/IJFCC.2012.V1.97
Comparative Study on Content Based Image Retrieval
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Rajani N.
2
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- 1 Dept of computer science, RVCE, Banglore.
- 2 M. Tech (Digital comm and working),SJBIT, Banglore Rajani N’s
Abstract
Content-based image retrieval (CBIR) is a technology that in principle helps to organize digital picture archives by their visual content. Anything ranging from an image similarity function to a robust image annotation engine falls under the purview of CBIR. In all current approaches the one problem is the visual similarity for judging semantic similarity which is problematic between low level content and high level concepts due to the semantic gap. In order to improve the retrieval accuracy of CBIR systems, research focus has been shifted from designing sophisticated low-level feature extraction algorithms to reduce the ‘semantic gap’ between the visual features and the richness of human semantics. This paper attempts to provide a comprehensive survey of the recent technical achievements in feature extraction for image retrieval.
Keywords
- CBIR
- colour
- texture and shape
How to Cite
Sowmya Rani, Rajani N., and Swathi Reddy, "Comparative Study on Content Based Image Retrieval," International Journal of Future Computer and Communication, vol. 1, no. 4, pp. 366-368, 2012. https://doi.org/ 10.7763/IJFCC.2012.V1.97
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).