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
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;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.47