標題: | FAST AND ROBUST OBJECT SEGMENTATION APPROACH FOR MPEG VIDEOS |
作者: | Ahmad, Ashraf M. A. 資訊工程學系 Department of Computer Science |
關鍵字: | MPEG-1;Efficiency;Object Detection;Motion Vector;Motion Vector Selector |
公開日期: | 1-一月-2006 |
摘要: | In this paper we propose an efficient approach for Motion Vector (MV) based object detection in MPEG-1 video streams. Based on experimental results performed over the MPEG testing dataset and measuring performance using the standard recall and precision metrics for perceptual performance, and run time metric for efficiency performance. Our approach is remarkably superior to the alternative techniques. in addition to these results, we describe a user system interface that we developed, where users can maintain the configurations interactively. |
URI: | http://dx.doi.org/10.1007/1-4020-4179-9_108 http://hdl.handle.net/11536/151730 |
ISBN: | 978-1-4020-4179-2; 978-1-4020-4178-5 |
DOI: | 10.1007/1-4020-4179-9_108 |
期刊: | COMPUTER VISION AND GRAPHICS (ICCVG 2004) |
Volume: | 32 |
起始頁: | 746 |
結束頁: | 751 |
顯示於類別: | 會議論文 |