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Proceedings Paper

Content-based image retrieval
Author(s): Yasir Zaheer
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Paper Abstract

Large collection of information is being created in many areas of modern life on daily basis. This information exists in many forms from plain text to high resolution multimedia. Today computers are many times faster than human in text based searching using keywords and indexing but the story is totally different in case of multimedia. In context of image retrieval, acquiring storing, sorting and transmitting photos is now trivial, but it is significantly harder to manipulate, index, sort, filter or search through them. The research presents an overview of different techniques used in contentbased image retrieval (CBIR) systems and what are some of the proposed ways of querying such searches that are useful when specific keywords for the object are not known. Advances, applications and problems in content-based image retrieval are also discussed. Moreover a system is also developed for content based image retrieval and tested with two database containing 1,000 and 10,000 images respectively.

Paper Details

Date Published: 26 February 2010
PDF: 10 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462E (26 February 2010); doi: 10.1117/12.853482
Show Author Affiliations
Yasir Zaheer, National Univ. of Computer and Emerging Sciences (Pakistan)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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