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ECIR
2009
Springer

Split and Merge Based Story Segmentation in News Videos

10 years 10 months ago
Split and Merge Based Story Segmentation in News Videos
Abstract. Segmenting videos into smaller, semantically related segments which ease the access of the video data is a challenging open research. In this paper, we present a scheme for semantic story segmentation based on anchor person detection. The proposed model makes use of a split and merge mechanism to find story boundaries. The approach is based on visual features and text transcripts. The performance of the system was evaluated using TRECVid 2003 CNN and ABC videos. The results show that the system is in par with state-of-the-art classifier based systems.
Anuj Goyal, P. Punitha, Frank Hopfgartner, Joemon
Added 08 Mar 2010
Updated 08 Mar 2010
Type Conference
Year 2009
Where ECIR
Authors Anuj Goyal, P. Punitha, Frank Hopfgartner, Joemon M. Jose
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