DocumentCode
588792
Title
A Spatio-temporal Data Compression Algorithm
Author
Lei Wang ; Yiming Guo ; Chen Chen ; Yaowei Yan
Author_Institution
Dept. of Comput., Huazhong Univ. of Sci. & Tech, Wuhan, China
fYear
2012
fDate
2-4 Nov. 2012
Firstpage
421
Lastpage
424
Abstract
This paper introduces a new line-simplification algorithm to compress spatio-temporal data. Line-simplification is an effective method, which is generally applied in compressing linear features data by throwing away some redundant spatiotemporal points to preserve the shape of original line. We evaluate our algorithm´s performance by comparing with some other line-simplification algorithms. By comprehensive analysis of experiments data, we find that our algorithm get a good result in compression ratio. Also, this algorithm costs less compression time and attains an excellent reconstruction in some situations.
Keywords
data compression; redundancy; spatiotemporal phenomena; compression ratio; compression time; experiments data comprehensive analysis; line-simplification algorithm; linear features data compression; redundant spatio-temporal data compression algorithm; shape preservation; Accuracy; Algorithm design and analysis; Approximation algorithms; Classification algorithms; Data compression; Heuristic algorithms; Standards; data compression; line simplification; lossy compression; spatio-temporal data;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-3093-0
Type
conf
DOI
10.1109/MINES.2012.47
Filename
6405713
Link To Document