Parsing news video using integrated audio-video features

Authors:
S. Kalyan Krishna;Raghav Subbarao;Santanu Chaudhury;Arun Kumar
Affiliations:
Department of Electrical Engg., I.I.T, New Delhi, India;Department of Electrical Engg., I.I.T, New Delhi, India;Department of Electrical Engg., I.I.T, New Delhi, India;Centre for Applied Research in Electronics, I.I.T, New Delhi, India
Venue:
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Year:
2005

Citing 2
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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.