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International Journal of Digital Multimedia Broadcasting
Volume 2017, Article ID 6468502, 2 pages
https://doi.org/10.1155/2017/6468502
Editorial

Emergent Techniques and Applications for Big Visual Data

1School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
2Department of Electrical Engineering, University of Washington, Seattle, WA 98105, USA
3Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
4Department of Computer Engineering, Chonbuk National University, Jeonju 54596, Republic of Korea
5Department of Mathematics and Computer Sciences, University of Jena, 07743 Jena, Germany

Correspondence should be addressed to Zhijun Fang; nc.ude.seus@gnafjz

Received 20 August 2017; Accepted 20 August 2017; Published 31 October 2017

Copyright © 2017 Zhijun Fang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zhijun Fang, Jenq-Neng Hwang, Xiaoming Huo, Hyo-Jong Lee, and Joachim Denzler, “Emergent Techniques and Applications for Big Visual Data,” International Journal of Digital Multimedia Broadcasting, vol. 2017, Article ID 6468502, 2 pages, 2017. https://doi.org/10.1155/2017/6468502.