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Multimodal topic segmentation and classification of news video

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3 Author(s)
Raaijmakers, S. ; Inst. of Appl. Phys. & MediaMill, Netherlands Organ. for Appl. Sci. Res., Amsterdam, Netherlands ; den Hartog, J. ; Baan, J.

In this paper we describe a model for multimodal topic segmentation and classification of Dutch news video. A focal topic of interest for the research reported here is the interaction between three different modalities (visual, auditory and textual information) in an integrated model for video analysis. We present a fully automated sequential feedback model for video analysis, where linguistic analysis is combined with visual information for the purposes of both segmentation and classification.

Published in:

Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on  (Volume:2 )

Date of Conference:

2002