• DocumentCode
    3707417
  • Title

    A multi-view video synopsis framework

  • Author

    Ansuman Mahapatra;Pankaj K Sa;Banshidhar Majhi

  • Author_Institution
    Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela - 769 008, Odisha, India
  • fYear
    2015
  • Firstpage
    1260
  • Lastpage
    1264
  • Abstract
    In this paper, a simple framework for multi-view video synopsis is introduced by combining both the benefits of video summarization and video synopsis. While video summarization includes the important actions of an original video, video synopsis, on the other hand, simultaneously displays multiple objects from different intervals of time. To create a multi-view video synopsis, the objects in the field-of-views of all the cameras are shown in a common background plane. All the moving objects are detected, prioritized based on their actions, and only important objects are included in the final synopsis video. The proposed framework is evaluated using two datasets and is compared with existing techniques, which shows a significant reduction in synopsis length with the proper inclusion of important objects.
  • Keywords
    "Cameras","Kernel","Positron emission tomography","Feature extraction","Surveillance","Optimization","Quality assessment"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIP.2015.7351002
  • Filename
    7351002