|09/2014- present|| |
Postdoctoral Researcher at the Image and Video-Communications (IVC) group, IRCCyN UMR CNRS 6597, Polytech Nantes, France.
|02/2010 - 08/2014|
|09/2012 - 12/2012|
|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|
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.
Kongfeng Zhu, No-reference Video Quality Assessment and Applications, University of Konstanz, Germany, July 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.
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.|
|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.|