NDLI: Image Indexing and Retrieval in Compressed Domain Using Color Clusters

Content Provider	IEEE Xplore Digital Library
Author	Bajaj, M. Lay, J.A.
Copyright Year	2007
Description	Author affiliation: Electron. & Commun. Eng. Dept., Netaji Subhas Inst. of Technol., New Delhi (Bajaj, M.)
Abstract	A compressed domain color-based image indexing method that avoids overheads associated with full decompression and color space transformation by operating in the YCbCr space has been presented. The proposed method performs a hard segmentation of the color space into predefined clusters based on perceptual similarity. A three dimensional color descriptor is generated by extracting the average intensity value of the Y, Cb and Cr components for each 8times8 DCT block. Each blocks descriptor is subsequently allocated to its corresponding cluster, whose centroid is updated using a weighted mean. The similarity measure is evaluated using a compact four dimensional feature vector from each cluster, which consists of the quantized centroid coordinates and the percentage contribution to the image composition by the cluster. Retrieval is performed by comparing the feature attributes of the clusters having significant membership in the query image, to those with the database images; the obtained matches are then integrated to evaluate the final ranking. The experimental results of the proposed model on a database of 7380 images are reported
Starting Page	271
Ending Page	274
File Size	328185
Page Count	4
File Format	PDF
ISBN	1424407079
DOI	10.1109/CIISP.2007.369180
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color indexing Image retrieval Information retrieval Spatial databases Image segmentation Image coding Coordinate measuring machines Image databases DCT content based retrieval Chromium Discrete cosine transforms compressed domain Indexing
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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