Parsing News Video Using Integrated Audio-Video Features

  • S. Kalyan Krishna
  • Raghav Subbarao
  • Santanu Chaudhury
  • Arun Kumar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

In this paper we have proposed a scheme for parsing News video sequences into their semantic components using integrated aural and visual features. We have explored use of the Token Passing Algorithm with HMM for simultaneous segmentation and characterization of the components. Experimentation with about 100 sequences have shown impressive results.

Keywords

Video Sequence Visual Feature News Video Audio Feature Semantic Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • S. Kalyan Krishna
    • 1
  • Raghav Subbarao
    • 1
  • Santanu Chaudhury
    • 1
  • Arun Kumar
    • 2
  1. 1.Department of Electrical Engg.I.I.TNew DelhiIndia
  2. 2.Centre for Applied Research in ElectronicsI.I.TNew DelhiIndia

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