General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2012 Vol.4(2): 217-219 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.454

Improved CBIR through Combined Indexing Technique

Sihem Mostefai and Sunitha Jeyasekhar

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.

Index Terms—Indexing Technique, Content Based Image Retrieval, Hierarchical Hash Grid indexing.

Authors are with Information Technology, Department, College of Computer and Information Sciences, King Saud University, Riyadh, SaudiArabia (smostefai@ksu.edu.sa, sjeyasekhar@ksu.edu.sa)

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Cite: 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.


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