International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

OPEN ACCESS
4.0
CiteScore

IJIET 2012 Vol.4(2): 217-219
doi: 10.7763/IJCTE.2012.V4.454

Improved CBIR through Combined Indexing Technique

Sihem Mostefai , Sunitha Jeyasekhar

  • Information Technology, Department, College of Computer and Information Sciences, King Saud University, Riyadh, SaudiArabia

Abstract

Multimedia databases get larger and larger in our days. There are various aspects that affect the demand for efficient database techniques to manage the flood of multimedia data, namely the increasing number of objects, the increasing complexity of objects. Whereas traditional indexing structures cope with large numbers of simple objects, complex multimedia objects require more sophisticated indexing techniques. In this paper we discuss the current state-of-the-art of various indexing technique as seen from content-based image retrieval point of view and proposed a novel approach named Hierarchical Hash Grid Indexing structure which has excellent performance and capable of handling huge number of images with less response time.

Keywords

  • Indexing Technique
  • Content Based Image Retrieval
  • Hierarchical Hash Grid indexing
454-A159

How to Cite

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Sihem Mostefai and Sunitha Jeyasekhar, "Improved CBIR through Combined Indexing Technique," International Journal of Computer Theory and Engineering, vol. 4, no. 2, pp. 217-219, 2012. https://doi.org/10.7763/IJCTE.2012.V4.454

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).

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