Multimodal topic segmentation and classification of news video

被引：0

作者：

Raaijmakers, S ^{[1
]}

den Hartog, J ^{[1
]}

Baan, J ^{[1
]}

机构：

[1] TNO, Netherlands Org Appl Sci Res, Inst Appl Phys & MediaMill, Delft, Netherlands

来源：

IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL I AND II, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：A33 / A36

页数：4

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