• DocumentCode
    2226937
  • Title

    Application of approximate string matching in video retrieval

  • Author

    Jian, Yin ; Xiu, Yu ; Meng, Dong

  • Author_Institution
    Sch. of Inf. Eng., Shandong Univ. at Weihai, Weihai, China
  • Volume
    4
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    How to effectively organize and manage vast amounts of video data on the Internet, and easily find the information people want is now one of the hotspots. Content-based video retrieval is an important means of managing video database, the efficiency of video retrieval has a direct impact on the efficiency of database management. For the video is unstructured data, the traditional video retrieval cannot be as quick and efficient as text retrieval. In this article, firstly make the unstructured video data into curve, mark the feature string of it, and then do the approximate string matching, to achieve fast and efficient retrieval of video. Experiments show that the method has a good effect.
  • Keywords
    content-based retrieval; string matching; video databases; video retrieval; video signal processing; data structure; database management; string matching approximation; text retrieval; video data; video database; video retrieval; Motion pictures; Robustness; approximate string matching; key frame; quantitative characteristics; video retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579482
  • Filename
    5579482