{"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}
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
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