NDLI: Recursive algorithms content search in multimedia databases with endoscopic images

Content Provider	IEEE Xplore Digital Library
Author	Garaiman, D. Garaiman, D.
Copyright Year	2009
Description	Author affiliation: University of Craiova, A. I. Cuza 13, 200585 , Craiova, Romania (Garaiman, D.) \|\| University of Medicine and Pharmacy of Craiova, Petru-Rares 2, 200349 Craiova, Romania (Garaiman, D.)
Abstract	This is a comparative study for recursive algorithms in two content search steps in multimedia databases with endoscopic images. The performance of the search has been measured according to four parameters: reapel, precision, the quality of retrieval and the cost of retrieval. The algorithms are based two methods of deciding the similarities between the models of images: Minkowsky distance and correlated measure Pearson. The models of representing the images in multimedia data base used here are: the normalized color histogram and texture or granulation. The data base which contained the models is indexed according to a linier cluster type. The color space of the images are RGB reduced to 125 and 256 colors and HSV reduced to 162 and 256 colors. The study was realized in a data base containing 310 images grouped in 30 categories. The results are presented both in tables and graphs.
Starting Page	471
Ending Page	475
File Size	256721
Page Count	5
File Format	PDF
ISBN	9781424453146
DOI	10.1109/IMCSIT.2009.5352801
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-12
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multimedia databases
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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