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 |