{"title":"基于结构和语义分析的展示内容档案场景提取方法","authors":"D. Kitayama, Akiko Otani, K. Sumiya","doi":"10.1109/C5.2009.22","DOIUrl":null,"url":null,"abstract":"It has become easier for users to view presentation content consisting of synchronized heterogeneous media such as videos and slides. Users simply retrieve the stored content they wish to view. In most cases users are interested in viewing a specific portion of the content. Scenes extracted from a presentation, however, often do not help the user understand the content, even when those scenes contain the query key word. A method is needed for extracting viewing intervals from content which are meaningful to the user. In this paper, we propose a method to extract scenes according to their relation. These relations are decided at the point of change between scenes. In this paper we describe our method and subject it to evaluation.","PeriodicalId":166121,"journal":{"name":"2009 Seventh International Conference on Creating, Connecting and Collaborating through Computing","volume":"28 7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A Scene Extracting Method Based on Structural and Semantic Analysis of Presentation Content Archives\",\"authors\":\"D. Kitayama, Akiko Otani, K. Sumiya\",\"doi\":\"10.1109/C5.2009.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It has become easier for users to view presentation content consisting of synchronized heterogeneous media such as videos and slides. Users simply retrieve the stored content they wish to view. In most cases users are interested in viewing a specific portion of the content. Scenes extracted from a presentation, however, often do not help the user understand the content, even when those scenes contain the query key word. A method is needed for extracting viewing intervals from content which are meaningful to the user. In this paper, we propose a method to extract scenes according to their relation. These relations are decided at the point of change between scenes. In this paper we describe our method and subject it to evaluation.\",\"PeriodicalId\":166121,\"journal\":{\"name\":\"2009 Seventh International Conference on Creating, Connecting and Collaborating through Computing\",\"volume\":\"28 7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Seventh International Conference on Creating, Connecting and Collaborating through Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/C5.2009.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Seventh International Conference on Creating, Connecting and Collaborating through Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/C5.2009.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Scene Extracting Method Based on Structural and Semantic Analysis of Presentation Content Archives
It has become easier for users to view presentation content consisting of synchronized heterogeneous media such as videos and slides. Users simply retrieve the stored content they wish to view. In most cases users are interested in viewing a specific portion of the content. Scenes extracted from a presentation, however, often do not help the user understand the content, even when those scenes contain the query key word. A method is needed for extracting viewing intervals from content which are meaningful to the user. In this paper, we propose a method to extract scenes according to their relation. These relations are decided at the point of change between scenes. In this paper we describe our method and subject it to evaluation.