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B. Xu et al., “Efficient manifold ranking for image retrieval,” in Proc. 34th Int. ACM SIGIR, New York, NY, USA, 2011, pp. 525-534.

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Article

An Efficient Scalable Graph Based Ranking Model for Content Based Image Retrieval

1Department of C.S.E, K.S.R.M College of Engineering, Kadapa, Y.S.R. District., A.P, India


Journal of Computer Sciences and Applications. 2016, Vol. 4 No. 3, 52-58
DOI: 10.12691/jcsa-4-3-1
Copyright © 2016 Science and Education Publishing

Cite this paper:
V. Lokeswara Reddy. An Efficient Scalable Graph Based Ranking Model for Content Based Image Retrieval. Journal of Computer Sciences and Applications. 2016; 4(3):52-58. doi: 10.12691/jcsa-4-3-1.

Correspondence to: V.  Lokeswara Reddy, Department of C.S.E, K.S.R.M College of Engineering, Kadapa, Y.S.R. District., A.P, India. Email: VL_REDDY@YAHOO.COM

Abstract

As the multimedia system technologies have become more popular, users do not satisfied with the standard retrieval techniques, thus today the content based image retrieval is becoming source of exact and for quick retrieval. The last decade has witnessed great interest in research on content based image retrieval. In this paper a graph based ranking model has been proposed and successfully applied to content-based image retrieval, due to its outstanding ability to find underlying geometrical structure of the given image database. The Admin have control to add, delete and modify the image database and therefore the user will search the image that need to be accessed and later the graph is generated based on user search. Experimental results show that the proposed technique has high accuracy than other conventional methods for generating the graph.

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