Title :
MST for lossy compression of image sets
Author :
Nielsen, Clinton ; Li, Xiaobo
Author_Institution :
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta.
Abstract :
Summary form only given. This paper presents an algorithm for organizing and compressing groups of similar images using a minimum spanning tree (MST). Called IsMST, it supports content based image retrieval (CBIR) and facilitates better compression performance that is attained using JPEG2000 on each image individually. Preliminary experimental results show that the gains in compression and accuracy of the data organization of the data sets using IsMST are encouraging
Keywords :
content-based retrieval; data compression; image coding; image retrieval; JPEG2000; content based image retrieval; data organization; image set compression; minimum spanning tree; Compression algorithms; Content based retrieval; Data structures; Histograms; Image coding; Image databases; Image retrieval; Information retrieval; Redundancy; Transform coding;
Conference_Titel :
Data Compression Conference, 2006. DCC 2006. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-7695-2545-8
DOI :
10.1109/DCC.2006.48
