International Journal of Computer Vision
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
On convergence properties of the em algorithm for gaussian mixtures
Neural Computation
Application of bilateral filtering and Gaussian mixture modeling for the retrieval of paintings
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Effective color image retrieval based on the gaussian mixture model
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Image retrieval based on Gaussian mixture approach to color localization
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
| Hi-index | 0.00 |
With the explosive growth of the World Wide Web and rapidly growing number of available digital color images, much research effort is devoted to the development of efficient content-based image retrieval systems. In this paper we propose to apply the Gaussian Mixture Model for color image indexing. Using the proposed approach, the color histograms are being modelled as a sum of Gaussian distributions and their parameters serve as signatures, which provide for fast and efficient color image retrieval. The results of the performed experiments show that the proposed approach is robust to color image distortions introduced by lossy compression artifacts and therefore it is well suited for indexing and retrieval of Internet based collections of color images stored in lossy compression formats.