• 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