基于封闭字幕文本的新闻视频自动分割与分类

IEEE International Conference on Multimedia and Expo, 2001. ICME 2001. Pub Date : 2001-08-22 DOI:10.1109/ICME.2001.1237850

Weiyu Zhu, C. Toklu, S. Liou

{"title":"基于封闭字幕文本的新闻视频自动分割与分类","authors":"Weiyu Zhu, C. Toklu, S. Liou","doi":"10.1109/ICME.2001.1237850","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel statistical approach, called the weighted voting method, for automatic news video story categorization based on the closed captioned text. News video is initially segmented into stories using the demarcations in the closed captioned text, then a set of","PeriodicalId":405589,"journal":{"name":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"59","resultStr":"{\"title\":\"Automatic news video segmentation and categorization based on closed-captioned text\",\"authors\":\"Weiyu Zhu, C. Toklu, S. Liou\",\"doi\":\"10.1109/ICME.2001.1237850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a novel statistical approach, called the weighted voting method, for automatic news video story categorization based on the closed captioned text. News video is initially segmented into stories using the demarcations in the closed captioned text, then a set of\",\"PeriodicalId\":405589,\"journal\":{\"name\":\"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"59\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICME.2001.1237850\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2001.1237850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 59

摘要

在本文中，我们提出了一种新的统计方法，称为加权投票法，用于基于封闭字幕文本的新闻视频故事自动分类。新闻视频最初使用封闭字幕文本中的边界分割成故事，然后使用一组

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Automatic news video segmentation and categorization based on closed-captioned text

In this paper, we present a novel statistical approach, called the weighted voting method, for automatic news video story categorization based on the closed captioned text. News video is initially segmented into stories using the demarcations in the closed captioned text, then a set of

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.

自引率

0.00%

发文量