Title :
Tree-structure lossless coding using intervector angle
Author_Institution :
Dept. of Math. & Comput. Sci., Shimane Univ., Matsue
Abstract :
In this paper, we propose tree structure lossless coding, by which compression data are arranged in a tree structure. Current compression methods show improved performance by producing a pair of target data. The main methods include joint stereo coding (: JSC) [1]. This study is intended to achieve better compression performance by selecting an optimum data pair and implementing a pairing mechanism of JSC to a tree structure algorithm.
Keywords :
data compression; tree codes; compression data; compression methods; intervector angle; joint stereo coding; tree-structure lossless coding; Biological information theory; Broadband communication; Computer science; Data engineering; Entropy coding; Internet; Mathematics; Performance loss; Signal resolution; Tree data structures;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761612