Title :
Image Indexing and Retrieval in Compressed Domain Using Color Clusters
Author :
Bajaj, Meekal ; Lay, Jose A.
Author_Institution :
Electron. & Commun. Eng. Dept., Netaji Subhas Inst. of Technol., New Delhi
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
Keywords :
content-based retrieval; data compression; database indexing; discrete cosine transforms; feature extraction; image coding; image colour analysis; image retrieval; image segmentation; pattern clustering; visual databases; 3D color descriptor; 4D feature vector; YCbCr color space; centroid coordinate quantization; color clusters; color space segmentation; color space transformation; content based retrieval; database image; discrete cosine transform; feature attributes; image composition; image compression; image indexing; image retrieval; perceptual similarity; query image; Chromium; Coordinate measuring machines; Discrete cosine transforms; Image coding; Image databases; Image retrieval; Image segmentation; Indexing; Information retrieval; Spatial databases; Color indexing; DCT; compressed domain; content based retrieval;
Conference_Titel :
Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0707-9
DOI :
10.1109/CIISP.2007.369180