Title :
Unsupervised and model-free news video segmentation
Author :
Gao, Xinbo ; Tang, Xiaoou
Author_Institution :
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
Based on a simple temporal structural model of a news program, the 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 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
Keywords :
computational linguistics; content-based retrieval; edge detection; graph theory; image retrieval; image segmentation; video signal processing; Hong Kong news stations; anchorperson shots; automatic news story segmentation; graph-theoretical cluster analysis; model-free news video segmentation; news footage shots; news program; news-story segmentation; semantic segmentation method; shot boundary detection; simple temporal structural model; structural model; syntactic segmentation method; unsupervised news video segmentation; video frame partitioning; video shots; Cameras; Content based retrieval; Gunshot detection systems; Image retrieval; Image segmentation; Indexing; Proposals; TV; Testing; Video sequences;
Conference_Titel :
Content-Based Access of Image and Video Libraries, 2001. (CBAIVL 2001). IEEE Workshop on
Conference_Location :
Kauai, HI
Print_ISBN :
0-7695-1354-9
DOI :
10.1109/IVL.2001.990857
