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

共 9 条

[1] Statistical models for text segmentation
Beeferman, D
Berger, A
Lafferty, J
[J]. MACHINE LEARNING, 1999, 34 (1-3) : 177 - 210
[2] GREIFF W, 2001, ACM MULTIMEDIA 2001
[3] HANJALIC A, 2001, IS T SPIE ELECT IMAG
[4] Hearst MA, 1997, COMPUT LINGUIST, V23, P33
[5] Jasinschi RS, 2001, 2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS, P366, DOI 10.1109/ICIP.2001.958127
[6] MAYBURY M, 1996, ACM INT C MULT BOST
[7] PEVZNER L, 2002, IN PRESS COMPUTATION
[8] Constructing table-of-content for videos
Rui, Y
Huang, TS
Mehrotra, S
[J]. MULTIMEDIA SYSTEMS, 1999, 7 (05) : 359 - 368
[9] WILCOX L, 1998, HICCS, P259

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