Computer Science ›› 2014, Vol. 41 ›› Issue (8): 286-288.doi: 10.11896/j.issn.1002-137X.2014.08.060

Previous Articles     Next Articles

Keyframe Extraction Based on Representative Evaluation of Contents

GU Yi-jun,XIE Yi and XIA Tian   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The keyframe extraction is a visual summary method.It enhances the accessibility to the visual content.Traditional methods extract keyframes through clustering.These methods don’t provide reliable descriptions of keyframe representative.This paper proposed a novel keyframe extraction method through a graph model representing the candidate keyframes and the correlations between them.The representative of candidate keyframe was calculated through propagating grade between correlated candidate keyframes iteratively.To support the calculation of the representative,the paper introduced a correlation calculation method according to how well the maximally stable colour regions of two frames match to each other.The experiments were conducted on several test videos and the results validated our keyframe extraction method.

Key words: Keyframe extraction,Correlation calculation,Video

[1] Zhuang Y,Rui Y,Huang T S.Video key frame extraction byunsupervised clustering and feedback adjustment[J].Journal of Computer Science and Technology,1999,14(3):283-287
[2] Zhao L,Qi W,Li S Z,et al.Key-frame extraction and shot retrieval using nearest feature line (NFL)[C]∥Proceedings of the 2000 ACM workshops on Multimedia.New York:ACM,2000:217-220
[3] Pan R,Tian Y,Wang Z.Key-Frame Extraction Algorithm Based on Entropy[C]∥2010 International Conference on E-Product E-Service and E-Entertainment (ICEEE).IEEE,2010:1-4
[4] Liu T,Zhang H J,Qi F.A novel video key-frame-extraction algorithm based on perceived motion energy model[J].IEEE Transactions on Circuits and Systems for Video Technology,2003,13(10):1006-1013
[5] Li C,Wu Y T,Yu S S,et al.Motion-focusing key frame extraction and video summarization for lane surveillance system[C]∥2009 16th IEEE International Conference on Image Processing (ICIP).Cairo:IEEE,2009:4329-4332
[6] Brin S,Page L.The anatomy of a large-scale hypertextual Web search engine[J].Computer Networks and ISDN Systems,1998,30(1):107-117
[7] Forssen P E.Maximally stable colour regions for recognition and matching[C]∥IEEE Conference on Computer Vision and Pattern Recognition,2007(CVPR’07).IEEE,2007:1-8
[8] Matas J,Chum O,Urban M,et al.Robust wide-baseline stereo from maximally stable extremal regions[J].Image and Vision Computing,2004,22(10):761-767
[9] Fischler M A,Bolles R C.Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J].Communications of the ACM,1981,24(6):381-395

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!