Video Matching by One-Dimensional PSNR Profile

Article Preview

Abstract:

This paper addresses a compact framework to matching video sequences through a PSNR-based profile. This simplify video profile is suitable to matching process when apply in disordered undersea videos. As opposed to using color and motion feature across the video sequence, we use the image quality of successive frames to be a feature of videos. We employ the PSNR quality feature to be a video profile rather than the complex contend-based analysis. The experimental results show that the proposed approach permits accurate of matching video. The performance is satisfactory on determine correct video from undersea dataset.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

174-178

Citation:

Online since:

December 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A. Basharat, Y. Zhai, M. Shah, Content based video matching using spatiotemporal volumes. Computer Vision and Image Understanding. Vol. 110, (2008), 360-377.

DOI: 10.1016/j.cviu.2007.09.016

Google Scholar

[2] J. Ke, Y. Zhan, X. Chen, M. Wang, The retrieval of motion event by associations of temporal frequent pattern growth. Future Generation Computer Systems. Vol. 29, (2013), 442-450.

DOI: 10.1016/j.future.2011.06.004

Google Scholar

[3] Q. Huynh-Thu, M. Ghanbari, Scope of validity of PSNR in image/video quality assessment. Electronics Letters. Vol. 44, (2008), 800-801.

DOI: 10.1049/el:20080522

Google Scholar

[4] W.H. Press, Numerical recipes in C : the art of scientific computing, 2nd ed., Cambridge University Press, Cambridge ; New York, (1992).

Google Scholar

[5] Y. Xilin, I.C. Octavia, Line-Based Recognition Using A Multidimensional Hausdorff Distance. IEEE transactions on pattern analysis and machine intelligence. Vol. 21, (1999), 901-916.

DOI: 10.1109/34.790430

Google Scholar