{"title":"一种新的渐进式视频过渡检测方法","authors":"K. I. Koumousis, V. Fotopoulos, A. Skodras","doi":"10.1109/PCi.2012.85","DOIUrl":null,"url":null,"abstract":"In this paper the problem of shot boundary detection for gradual transitions within video sequences is treated using statistical tests in conjunction with the Iterative Self Organizing Data Analysis (ISODATA) classification algorithm for consecutive video frames. The confusion matrix from the classification results is formed in order to calculate the kappa coefficient and from this to identify the transition. Experimental and comparative results with recently proposed methods are promising.","PeriodicalId":131195,"journal":{"name":"2012 16th Panhellenic Conference on Informatics","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A New Approach to Gradual Video Transition Detection\",\"authors\":\"K. I. Koumousis, V. Fotopoulos, A. Skodras\",\"doi\":\"10.1109/PCi.2012.85\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the problem of shot boundary detection for gradual transitions within video sequences is treated using statistical tests in conjunction with the Iterative Self Organizing Data Analysis (ISODATA) classification algorithm for consecutive video frames. The confusion matrix from the classification results is formed in order to calculate the kappa coefficient and from this to identify the transition. Experimental and comparative results with recently proposed methods are promising.\",\"PeriodicalId\":131195,\"journal\":{\"name\":\"2012 16th Panhellenic Conference on Informatics\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 16th Panhellenic Conference on Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCi.2012.85\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 16th Panhellenic Conference on Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCi.2012.85","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Approach to Gradual Video Transition Detection
In this paper the problem of shot boundary detection for gradual transitions within video sequences is treated using statistical tests in conjunction with the Iterative Self Organizing Data Analysis (ISODATA) classification algorithm for consecutive video frames. The confusion matrix from the classification results is formed in order to calculate the kappa coefficient and from this to identify the transition. Experimental and comparative results with recently proposed methods are promising.
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