{"title":"Video acquisition on live hypermedia","authors":"T. Satou, M. Sakauchi","doi":"10.1109/MMCS.1995.484922","DOIUrl":null,"url":null,"abstract":"Live hypermedia is a new type of hypermedia which can acquire a desired set of video scenes from television broadcasting programs using the video scene recognition techniques. Information nodes and links between them care dynamically determined corresponding to the structure of the recognition models. In this paper, a state-transition type expression is proposed to describe flexible and compound models for recognition on live hypermedia. The system can detect not only TV program categories but also their contents. The state transition type model is evaluated in these aspects: retrieval efficiency, code reusability, and computing time during recognition. These experimental results reveal flexibility and effectiveness of our approach.","PeriodicalId":423754,"journal":{"name":"Proceedings of the International Conference on Multimedia Computing and Systems","volume":"185 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1995.484922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Live hypermedia is a new type of hypermedia which can acquire a desired set of video scenes from television broadcasting programs using the video scene recognition techniques. Information nodes and links between them care dynamically determined corresponding to the structure of the recognition models. In this paper, a state-transition type expression is proposed to describe flexible and compound models for recognition on live hypermedia. The system can detect not only TV program categories but also their contents. The state transition type model is evaluated in these aspects: retrieval efficiency, code reusability, and computing time during recognition. These experimental results reveal flexibility and effectiveness of our approach.
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