• DocumentCode
    2346605
  • Title

    Key Frames Extraction Algorithm Based on GA

  • Author

    Liu, Liujun ; Wang, Xiaohong ; Zhou, Shizheng

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Commun. Univ. of China, Beijing, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    808
  • Lastpage
    811
  • Abstract
    The key frame is a set of discrete frames which contain the most important information in the video. It can greatly reduce the time of video library retrieval by extracting key frames according to an efficient algorithm, and some important information can also be embedded in the key frames to protect the video copyright. In this paper, I propose a new key frame extraction algorithm based on GA (Genetic Algorithm). In this algorithm, a part of frames are thought of as a population, by a series of genetic evolution we can select out the excellent unit as the key frames. The result shows that in a group the frame which greatly differs with others should be selected out as key frame. The algorithm based on GA can select out frames which has more expressive force than traditional algorithm in proper time.
  • Keywords
    feature extraction; genetic algorithms; video signal processing; GA; genetic algorithm; genetic evolution; key frames extraction algorithm; Algorithm design and analysis; Color; Data mining; Genetic algorithms; Genetics; Partitioning algorithms; Streaming media; GA; color distances; key frame extraction; partitioning a video sequence into shots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.160
  • Filename
    5957780