{"title":"语义感知自动视频编辑","authors":"S. Bocconi","doi":"10.1145/1027527.1027753","DOIUrl":null,"url":null,"abstract":"One of the challenges of multimedia applications is to provide user-tailored access to information encoded in different media. Particularly, previous research has not yet fully explored how to automatically compose different video segments according to a communicative goal. We propose a rhetoric-based method to support the selection and automatic editing of user-requested content from video footage. The method is applied to the domain of video documentaries to create biased sequences about a user selected subject.","PeriodicalId":292207,"journal":{"name":"MULTIMEDIA '04","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Semantic-aware automatic video editing\",\"authors\":\"S. Bocconi\",\"doi\":\"10.1145/1027527.1027753\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the challenges of multimedia applications is to provide user-tailored access to information encoded in different media. Particularly, previous research has not yet fully explored how to automatically compose different video segments according to a communicative goal. We propose a rhetoric-based method to support the selection and automatic editing of user-requested content from video footage. The method is applied to the domain of video documentaries to create biased sequences about a user selected subject.\",\"PeriodicalId\":292207,\"journal\":{\"name\":\"MULTIMEDIA '04\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MULTIMEDIA '04\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1027527.1027753\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MULTIMEDIA '04","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1027527.1027753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One of the challenges of multimedia applications is to provide user-tailored access to information encoded in different media. Particularly, previous research has not yet fully explored how to automatically compose different video segments according to a communicative goal. We propose a rhetoric-based method to support the selection and automatic editing of user-requested content from video footage. The method is applied to the domain of video documentaries to create biased sequences about a user selected subject.
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