TY - GEN
T1 - Gaussian mixture model based retrieval technique for lossy compressed color images
AU - Luszczkiewicz, Maria
AU - Smolka, Bogdan
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/37849043172
U2 - 10.1007/978-3-540-74260-9_59
DO - 10.1007/978-3-540-74260-9_59
M3 - Conference contribution
AN - SCOPUS:37849043172
SN - 9783540742586
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 662
EP - 673
BT - Image Analysis and Recognition - 4th International Conference, ICIAR 2007, Proceedings
PB - Springer Verlag
T2 - 4th International Conference on Image Analysis and Recognition, ICIAR 2007
Y2 - 22 August 2007 through 24 August 2007
ER -