• DocumentCode
    1900612
  • Title

    Video shot boundary detection: A review

  • Author

    SenGupta, Ananya ; Thounaojam, Dalton Meitei ; Manglem Singh, Kh ; Roy, Sudipta

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol. Silchar, Silchar, India
  • fYear
    2015
  • fDate
    5-7 March 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Due to huge growth in multimedia and technology, it is very important to go through the point of interest rather than accessing the entire video. For efficient indexing and retrieving the interest points, content based video retrieval is used. The first step toward CBVR is shot boundary detection. It is necessary to partition the video into shots for easy indexing and retrieval of video. Therefore, segmentation plays an important role in digital media processing, pattern recognition, and computer vision. In this paper, we present different approaches to shot boundary detection problem.
  • Keywords
    computer vision; image segmentation; indexing; video retrieval; CBVR; computer vision; content based video retrieval; digital media processing; image segmentation; pattern recognition; video indexing; video retrival; video shot boundary detection problem; Color; Histograms; Image edge detection; Kalman filters; Standards; Transform coding; Shot boundary detection; cut; dissolve; fades; wipes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6084-2
  • Type

    conf

  • DOI
    10.1109/ICECCT.2015.7226084
  • Filename
    7226084