• DocumentCode
    2948965
  • Title

    Multiscale Browsing through Video Collections in Smartphones Using Scalable Storyboards

  • Author

    Herranz, Luis

  • Author_Institution
    Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China
  • fYear
    2012
  • fDate
    9-13 July 2012
  • Firstpage
    278
  • Lastpage
    283
  • Abstract
    This paper explores how multiscale browsing can be integrated with smart phone interfaces to provide enhanced navigation through video collections. We propose a system that allows the user to interactively change the scale of the storyboards, so the user can easily adjust the amount of information provided by them. Three different methods to select key frames are studied, including an efficient method that analyzes the video and creates a scalable description, with very little computational cost. Then, storyboards of any length can be retrieved on demand without any further analysis, which is very convenient to provide fast multiscale navigation. Experimental evaluations show how this method improves the utility of the summaries and enhances user experience.
  • Keywords
    smart phones; user interfaces; video signal processing; key frame selection; multiscale browsing; multiscale navigation; scalable storyboards; smart phone interfaces; video collections; Algorithm design and analysis; Browsers; Clustering algorithms; Computers; Navigation; Semantics; Smart phones; scalable summary; smartphones; storyboard; user interface; video browsing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2012 IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-2027-6
  • Type

    conf

  • DOI
    10.1109/ICMEW.2012.54
  • Filename
    6266268