DocumentCode :
3282035
Title :
Compressed Domain Image Retrieval Using Thumbnails of Images
Author :
Khapli, Vidya R. ; Bhalchandra, Anjali S.
Author_Institution :
K.K. Wagh Women´´s Polytech., Nashik, India
fYear :
2009
fDate :
23-25 July 2009
Firstpage :
392
Lastpage :
396
Abstract :
The emergence of multimedia, the availability of a large digital archives, and the rapid growth of World Wide Web (WWW) have recently attracted research efforts in providing tools for effective retrieval of image database. Content based image retrieval (CBIR) has emerged as a promising approach for image retrieval in last decade. To reduce the storage and transmission requirements in image applications, images are compressed while maintaining acceptable visual quality. In this paper, a unique approach which emphasizes the compressed-domain solutions to image retrieval is explored. A reduced complexity approach for efficient retrieval of images using VQ on thumbnails of images is presented. A VQ codebook is used to represent the image. The similarity is computed in terms of MSE between the thumbnail of query image and all the image thumbnails in the database. The system is tested for various thumbnail sizes. UCID database is used for testing the system.
Keywords :
content-based retrieval; data compression; image coding; image retrieval; mean square error methods; vector quantisation; visual databases; MSE; UCID database; VQ codebook; compressed domain image retrieval; content based image retrieval; image database; image thumbnail; visual quality; Availability; Content based retrieval; Image coding; Image databases; Image retrieval; Image storage; Multimedia databases; System testing; Web sites; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Communication Systems and Networks, 2009. CICSYN '09. First International Conference on
Conference_Location :
Indore
Print_ISBN :
978-0-7695-3743-6
Type :
conf
DOI :
10.1109/CICSYN.2009.96
Filename :
5231897
Link To Document :
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