{"title":"基于隐马尔可夫模型的视频摘要","authors":"Chung-Lin Huang, Chih-Yu Chang","doi":"10.1109/ITCC.2001.918841","DOIUrl":null,"url":null,"abstract":"This paper proposes a system to analyze and summarize the video shots of the baseball game TV program into fifteen categories. The system consists of three modules: feature extraction, Hidden Markov Model (HMM) training, and video shot categorization.","PeriodicalId":318295,"journal":{"name":"Proceedings International Conference on Information Technology: Coding and Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Video summarization using hidden Markov model\",\"authors\":\"Chung-Lin Huang, Chih-Yu Chang\",\"doi\":\"10.1109/ITCC.2001.918841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a system to analyze and summarize the video shots of the baseball game TV program into fifteen categories. The system consists of three modules: feature extraction, Hidden Markov Model (HMM) training, and video shot categorization.\",\"PeriodicalId\":318295,\"journal\":{\"name\":\"Proceedings International Conference on Information Technology: Coding and Computing\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Conference on Information Technology: Coding and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITCC.2001.918841\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Conference on Information Technology: Coding and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2001.918841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a system to analyze and summarize the video shots of the baseball game TV program into fifteen categories. The system consists of three modules: feature extraction, Hidden Markov Model (HMM) training, and video shot categorization.