Multimodal topic segmentation and classification of news video

Author

Raaijmakers, S. ; Den Hartog, Jurgen ; Baan, Jan

Author_Institution

Inst. of Appl. Phys. & MediaMill, Netherlands Organ. for Appl. Sci. Res., Amsterdam, Netherlands

Volume

2

fYear

2002

fDate

2002

Firstpage

33

Abstract

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.

Keywords

feedback; information retrieval; multimedia databases; pattern classification; text analysis; video signal processing; Dutch news video; auditory information; automated sequential feedback model; integrated model; linguistic analysis; multimodal topic segmentation; news video classification; textual information; video analysis; visual information; Cameras; Detectors; Feedback; Hidden Markov models; Histograms; Image segmentation; Information analysis; Machine assisted indexing; Physics; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on

Print_ISBN

0-7803-7304-9

Type

conf

DOI

10.1109/ICME.2002.1035367

Filename

1035367