Video Classification by Feature Extraction Based on Rough Set
With the fast growth of video sources, efficient video classification and management is becoming more and more important. Video partitioning and video feature extraction are two of the key issues in video classification. Video stream has a great number of data and the video data is non-structures data,so video classification has been a difficulty in the field of video analysis for a long time. The approach firstly uses video segmentation to extract a set of video features and construct a video attribute database. Then the attribute reduction of rough set is used on the video attribute database to extract classification rule set.
video classification feature extraction reduction rough set
SONG Jian ZOU Muchun SUN Wei
School of network Lanzhou University of Technology Lanzhou, 730050, China
国际会议
厦门
英文
533-537
2006-07-27（万方平台首次上网日期，不代表论文的发表时间）