Image Indexing and Retrieval in Compressed Domain Using Color Clusters

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

[1]  Hossein Nezamabadi-pour,et al.  Object-Based Image Indexing and Retrieval in DCT Domain using Clustering Techniques , 2007 .

[2]  James Ze Wang,et al.  SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[4]  B. S. Manjunath,et al.  Color and texture descriptors , 2001, IEEE Trans. Circuits Syst. Video Technol..

[5]  Ling Guan,et al.  Image retrieval based on energy histograms of the low frequency DCT coefficients , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[6]  G Micieli,et al.  CD Rom. , 1996, Emergency nurse : the journal of the RCN Accident and Emergency Nursing Association.

[7]  Markus A. Stricker,et al.  Similarity of color images , 1995, Electronic Imaging.

[8]  Shih-Fu Chang,et al.  Single color extraction and image query , 1995, Proceedings., International Conference on Image Processing.

[9]  Gregory K. Wallace,et al.  The JPEG still picture compression standard , 1991, CACM.

[10]  Chong-Wah Ngo,et al.  Exploiting image indexing techniques in DCT domain , 1998, Pattern Recognit..

[11]  James Ze Wang,et al.  SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Jianmin Jiang,et al.  Direct content access and extraction from JPEG compressed images , 2002, Pattern Recognit..

[13]  Jianmin Jiang,et al.  Web-based image indexing and retrieval in JPEG compressed domain , 2004, Multimedia Systems.

[14]  B. S. Manjunath,et al.  An efficient color representation for image retrieval , 2001, IEEE Trans. Image Process..