Unsupervised and model-free news video segmentation
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員

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其它資訊
摘要Based on a simple temporal structural model of news program, this paper presents a practical solution to automatic news story segmentation by integrating syntactic and semantic methods. First, a syntactic segmentation method is used to detect the shot boundaries in order to partition video frames into video shots. Then a semantic segmentation method based on the graph-theoretical cluster analysis is developed to classify the video shots into anchorperson shots and news footage shots. Finally, a structural model of news video is used to complete the news-story segmentation. The proposed method obtains a precision of 90.45% and a recall of 95.83% in the segmentation experiment of 168 news stories from two Hong Kong news stations.
著者Gao XB, Tang X
會議名稱IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001)
會議開始日14.12.2001
會議地點KAUAI
會議國家/地區美國
詳細描述IEEE Workshop on Content-Based Access of Image and Video Libraries 2001
出版年份2001
月份1
日期1
出版社IEEE COMPUTER SOC
頁次58 - 64
國際標準書號0-7695-1354-9
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods; Engineering; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology

上次更新時間 2020-20-09 於 03:02