A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index
Joint Authors
Lei, Shaoshuai
Xie, Gang
Yan, Gaowei
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Lei, Shaoshuai& Xie, Gang& Yan, Gaowei. 2014. A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050652
Modern Language Association (MLA)
Lei, Shaoshuai…[et al.]. A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1050652
American Medical Association (AMA)
Lei, Shaoshuai& Xie, Gang& Yan, Gaowei. A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050652
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050652