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Kongfeng Zhu

Address  

Kongfeng Zhu
Universität Konstanz
Informatik und Informationswissenschaft
Fach 697
78457 Konstanz
Germany

Room Z718
Phone +49 (0) 7531 88-2200
Fax +49 (0) 7531 88-4715
E-mail kongfeng.zhu@uni-konstanz.de
Homepage Google Scholar    LinkedIn

Vita

09/2014- present  

Postdoctoral Researcher at the Image and Video-Communications (IVC) group, IRCCyN UMR CNRS 6597, Polytech Nantes, France.

02/2010 - 08/2014  

PhD candidate in the PhD Program Digital Video Quality Assessment, at the University of Konstanz, Germany

09/2012 - 12/2012

Visiting Scholar at UD Vision Lab, at the University of Dayton, OH, US

07/2006 - 01/2010 Lecturer at the School of Electronic Science and Technology, of the Anhui University, PR China
08/2003 - 06/2006 Studies of Communication and Information Systems at the Shandong University, PR China
09/1999 - 07/2003 Studies of Electronic Science and Technology at the HuaiBei Normal University, PR China

Research Project

Digital Video Quality Assessment

Video Quality Measurement is about objective quality assessment of video sequences produced by different camcorders. The main goal is to develop some algorithms to measure video quality and to compare the performance of different camcorders in terms of perceptual quality. Among all the video quality aspects, we are specifically interested in color fidelity in the new xvYCC color space and perceptual distortion induced by the lossy video compression process.

This project is a joint one between the University of Konstanz and a company in Reichnau. Upon the completion of the project, we will have a prototype system to do the video quality assessment tasks for different kind of camcorders. It will be used by our industrial partner and may be then commercialized.

Selected Publications

PhD Thesis

2014 

Kongfeng Zhu, No-reference Video Quality Assessment and Applications, University of Konstanz, Germany, July 2014.

Conference Papers

2014 

Kongfeng Zhu, Marcus Barkowsky, Minmin Shen, Patrick Le Callet, Dietmar Saupe, Optimizing feature pooling and prediction models of VQA algorithms, accepted by IEEE International Conference on Image Processing, Paris, France, Oct. 2014.

2013 

Kongfeng Zhu, Keigo Hirakawa, Vijayan K. Asari, Dietmar Saupe, A no-reference video quality assessment based on Laplacian pyramids, IEEE International Conference on Image Processing, Melbourne, Australia, Sep. 2013.  Slides Code

2013  Kongfeng Zhu, Vijayan K. Asari, Dietmar Saupe, No-reference quality assessment of H.264/AVC encoded video based on natural scene features, Mobile Multimedia/Image Processing, Security, and Applications, SPIE Defense, Security, and Sensing, Vol. 8755(4), Baltimore, Maryland, USA, May 2013. Slides Code
2013  Kongfeng Zhu, Dietmar Saupe, Performance evaluation of HD camcorders: measuring texture distortions using Gabor filters and spatio-velocity CSF, Image Quality and System Performance X, IS&T/SPIE Electronic Imaging, Vol. 8653(9), Burlingame, CA, USA, Feb. 2013. Slides
2012  Kongfeng Zhu, Shujun Li, Dietmar Saupe, fileadmin/informatik/ag-saupe/Publications/Kongfeng_Zhu/spie2012.pdfAn objective method of measuring texture preservation for camcorder performance evaluation, Image Quality and System Performance IX, IS&T/SPIE Electronic Imaging, Vol. 8293, Burlingame, CA, USA, Jan. 2012. Slides
2005  Kongfeng Zhu, An Effective Focusing Algorithm Based on Non-uniform Sampling, IEEE VLSI 2005, 276-279.

Journal papers

2014   Kongfeng Zhu, Chengqing Li, Vijayan Asari, Dietmar Saupe, No-reference video quality assessment based on artifacts measurement and statistical analysis, accepted by IEEE Transactions on Circuits and Systems for Video Technology, 2014.
2009   Zhu Kongfeng, An Algorithm of Focusing Region Selection for Auto-focusing, Journal of Anhui University Natural Science Edition, Vol.33, No.2, 2009.
2006 Zhu Kongfeng, Jiang Wei, Foucsing Window Choice and Paremeters Determination in Automatic Focusing System, Acta Optical Sinica, Vol. 26, No.6, 2006.
2005 Zhu Kongfeng, Jiang Wei, A New Kind of Clarity-evaluation-function of an image, Infrared and Laser Engineering, Vol. 34,No. 4, 2005.