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題名 A mask matching approach for video segmentation on compressed data
作者 陳良弼
Kuo,Tony C.T;Chen,Arbee L.P
貢獻者 資科系
關鍵詞 Video segmentation; Shot change detection; MPEG compressed data; Content-based retrieval; Video browsing
日期 2002
上傳時間 21-Aug-2014 14:54:33 (UTC+8)
摘要 Video segmentation provides an easy and efficient way for video retrieval and browsing. A frame is detected as a shot change frame if its content is very different from its previous frames. The process of segmenting videos into shots is usually time consuming due to the large number of frames in the videos. In this paper, we propose a new approach for segmenting videos into shots on MPEG coded video data. This approach detects shot changes by computing the shot change probability for each frame. The MPEG coded video data are only partially decoded such that the time for decoding and processing video data frame by frame and pixel by pixel can be avoided. A set of masks for different types of MPEG coded frames (I, P, and B frames) is defined for the computation of the shot change probability. Experiments based on various parameters are performed to show a 95% of detection rate in average. With further consideration on detecting the dissolve effect, the result is improved to reach an average 98% recall and 96% precision of the detection. A video indexing tool based on this approach was implemented. The results of detected shot changes are kept such that video retrieval and browsing can be provided.
關聯 Information Sciences: an International Journal (EI,SCI), special issue on Intelligent Multimedia Computing and Networking,169-191
資料類型 article
dc.contributor 資科系en_US
dc.creator (作者) 陳良弼zh_TW
dc.creator (作者) Kuo,Tony C.T;Chen,Arbee L.Pen_US
dc.date (日期) 2002en_US
dc.date.accessioned 21-Aug-2014 14:54:33 (UTC+8)-
dc.date.available 21-Aug-2014 14:54:33 (UTC+8)-
dc.date.issued (上傳時間) 21-Aug-2014 14:54:33 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/69134-
dc.description.abstract (摘要) Video segmentation provides an easy and efficient way for video retrieval and browsing. A frame is detected as a shot change frame if its content is very different from its previous frames. The process of segmenting videos into shots is usually time consuming due to the large number of frames in the videos. In this paper, we propose a new approach for segmenting videos into shots on MPEG coded video data. This approach detects shot changes by computing the shot change probability for each frame. The MPEG coded video data are only partially decoded such that the time for decoding and processing video data frame by frame and pixel by pixel can be avoided. A set of masks for different types of MPEG coded frames (I, P, and B frames) is defined for the computation of the shot change probability. Experiments based on various parameters are performed to show a 95% of detection rate in average. With further consideration on detecting the dissolve effect, the result is improved to reach an average 98% recall and 96% precision of the detection. A video indexing tool based on this approach was implemented. The results of detected shot changes are kept such that video retrieval and browsing can be provided.en_US
dc.format.extent 1495300 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Information Sciences: an International Journal (EI,SCI), special issue on Intelligent Multimedia Computing and Networking,169-191en_US
dc.subject (關鍵詞) Video segmentation; Shot change detection; MPEG compressed data; Content-based retrieval; Video browsingen_US
dc.title (題名) A mask matching approach for video segmentation on compressed dataen_US
dc.type (資料類型) articleen