A novel key-frame extraction approach for both video summary and video index.
Existing key-frame extraction methods are basically video summary oriented; yet the index task of key-frames is ignored. This paper presents a novel key-frame extraction approach which can be available for both video summary and video index. First a dynamic distance separability algorithm is advanced to divide a shot into subshots based on semantic structure, and then appropriate key-frames are extracted in each subshot by SVD decomposition. Finally, three evaluation indicators are proposed to evaluate the performance of the new approach. Experimental results show that the proposed approach achieves good semantic structure for semantics-based video index and meanwhile produces video summary consistent with human perception.
Taiyuan University of Technology, No. 79 West Yingze Avenue, Taiyuan, Shanxi 030024, China.
Shaoshuai
S
Lei
Taiyuan University of Technology, No. 79 West Yingze Avenue, Taiyuan, Shanxi 030024, China.
Gang
G
Xie
Taiyuan University of Technology, No. 79 West Yingze Avenue, Taiyuan, Shanxi 030024, China.
Gaowei
G
Yan
D014743:Videotape Recording