標題: Visual tempo analysis for MTV-style home video authoring
作者: Wang, Shen-Zheng
Chen, Yung-Sheng
Lee, Shih-Hung
Kuo, C. -C. Jay
資訊工程學系
Department of Computer Science
公開日期: 2008
摘要: Automatic visual tempo analysis and adaptive shot detection are studied for MTV-style home video authoring. Based upon the significant variation caused by object and background independently, spatial and temporal analysis are integrated for region of interest(ROI) detection in video sequences. To further detect homogeneous shots, visual tempos are proposed to describe the variation. Then, an adaptive segmentation method is presented to automatically detect homogeneous shots using visual tempo cues. A baby video is used as an illustrative example, and the experimental results are encouraged.
URI: http://hdl.handle.net/11536/30698
ISBN: 978-0-7695-3119-9
期刊: CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 2, PROCEEDINGS
起始頁: 192
結束頁: 196
Appears in Collections:Conferences Paper