{"title":"A graph-theoretical clustering based anchorperson shot detection for news video indexing","authors":"G. Xinbo, Li Jie, Yang Bing","doi":"10.1109/ICCIMA.2003.1238109","DOIUrl":null,"url":null,"abstract":"Anchorperson shot detection is of significance for video shot semantic parsing and indexing information and clues extraction in content-based news video indexing and retrieval system. This paper presents a model-free anchorperson shot detection scheme based on the similarity among the anchorperson key frames throughout each news program. First, a news video is segmented into video shots with any effective video syntactic parsing algorithm. For each shot, a frame is extracted from the frame sequence as a representative key frame. Then the graph-theoretical clustering algorithm is performed on the key frames to identify the anchorperson frames. The anchorperson shots are further distinguished from other news video shots. The proposed scheme achieves a precision of 100% and a recall of over 97.69% in the anchorperson shot detection experiment of 217 news stories.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIMA.2003.1238109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
Anchorperson shot detection is of significance for video shot semantic parsing and indexing information and clues extraction in content-based news video indexing and retrieval system. This paper presents a model-free anchorperson shot detection scheme based on the similarity among the anchorperson key frames throughout each news program. First, a news video is segmented into video shots with any effective video syntactic parsing algorithm. For each shot, a frame is extracted from the frame sequence as a representative key frame. Then the graph-theoretical clustering algorithm is performed on the key frames to identify the anchorperson frames. The anchorperson shots are further distinguished from other news video shots. The proposed scheme achieves a precision of 100% and a recall of over 97.69% in the anchorperson shot detection experiment of 217 news stories.
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