• DocumentCode
    3597077
  • Title

    Hierarchical summarization for easy video applications

  • Author

    Sudhakar, Nithya ; Chandran, Sharat

  • Author_Institution
    Dept. of Comput. Sci. & Eng., IIT Bombay, Mumbai, India
  • fYear
    2015
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    With growing use of videos, demand on retrieval video applications has become intense. Most existing methods that analyze the semantics of a video build specific models; for example, ones that aim at event detection, or targeted video albumization. These might be called as application specific works and useful in their own right. In this paper, however, we propose a video abstraction framework that unifies the creation of various applications, rather than the application itself. Specifically, we present a dictionary summarization of a video that provides abstractions at various hierarchical levels such as pixels, frames, shots, and the complete video. We illustrate the usability of our model with four different “apps”.
  • Keywords
    video coding; dictionary summarization; easy video applications; hierarchical summarization; retrieval video applications; video abstraction framework; Buildings; Computational modeling; Dictionaries; Feature extraction; Motion pictures; Semantics; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision Applications (MVA), 2015 14th IAPR International Conference on
  • Type

    conf

  • DOI
    10.1109/MVA.2015.7153135
  • Filename
    7153135