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Hire Dr. Kongfeng (.

United States

Profile Summary

My research program concentrates on computer vision as a means of automatically evaluating the performance of electronic imaging systems. The basic idea is taking the imaging system as a black box, and analyzing the output image/video to assess the objective quality without reference. Feature extraction and machine learning are adopted to predict the quality of the output image/video as seen by an average human observer. The objective quality assessment naturally should have a strong correlation with the subjective assessment, but also should be fast, ecient and economical in applications.

Subject Matter Expertise

• ☆ Signal Processing
• ☆ Software Engineering
• ☆ Machine Learning
• ☆ Computer Vision
• ☆ Adoption

Services

• Consulting
• Data & AI
• Product Development

Work Experience

Postdoc

University of Nantes

September 2014 - August 2015

Education

PhD

University of Konstanz

February 2010 - August 2014

Certifications

• Certification details not provided.

Publications

CONFERENCE PAPER

Berger, Kongfeng and Koudota, Yao and Barkowsky, Marcus and Le Callet, Patrick(2015). Subjective quality assessment comparing UHD and HD resolution in HEVC transmission chains. Quality of Multimedia Experience (QoMEX), 2015 Seventh International Workshop on. p. 1--6.

Berger, Kai and Berger, Kongfeng and Le Callet, Patrick(2015). UHD image reconstruction by estimating interpolation error. Image Processing (ICIP), 2015 IEEE International Conference on. p. 4743--4747.

Zhu, Kongfeng and Barkowsky, Marcus and Shen, Minmin and Le Callet, Patrick and Saupe, Dietmar(2014). Optimizing feature pooling and prediction models of VQA algorithms. Image Processing (ICIP), 2014 IEEE International Conference on. p. 541--545.

Zhu, Kongfeng and Hirakawa, Keisuke and Asari, Vijayan and Saupe, Dietmar(2013). A no-reference video quality assessment based on Laplacian pyramids. Image Processing (ICIP), 2013 20th IEEE International Conference on. p. 49--53.

Zhu, Kongfeng and Asari, Vijayan and Saupe, Dietmar(2013). No-reference quality assessment of H. 264/AVC encoded video based on natural scene features. SPIE Defense, Security, and Sensing. p. 875505--875505.

Zhu, Kongfeng and Saupe, Dietmar(2013). Performance evaluation of HD camcorders: measuring texture distortions using Gabor filters and spatio-velocity CSF. IS&T/SPIE Electronic Imaging. p. 86530A--86530A.

Zhu, Kongfeng and Li, Shujun and Saupe, Dietmar(2012). An objective method of measuring texture preservation for camcorder performance evaluation. IS&T/SPIE Electronic Imaging. p. 829304--829304.

Zhu, Kongfeng and Jiang, Wei and Gao, Zan and Zhou, Xian and Zhang, Jin(2005). Using non-uniform sampling to make automatic focusing result correct. Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on. 2. p. 1264--1267.

Zhu, Kongfeng and Jiang, Wei and Wang, Duanfang and Zhou, Xian and Zhang, Jin(2005). An effective focusing algorithm based on non-uniform Sampling. VLSI Design and Video Technology, 2005. Proceedings of 2005 IEEE International Workshop on. p. 276--279.

JOURNAL ARTICLE

Van Wallendael, Glenn and Staelens, Nicolas and Masala, Enrico and Janowski, Lucjan and Berger, Kongfeng and Barkowsky, Marcus(2014). Dreamed about training, verifying and validating your QoE model on a million videos?. VQEG eLetter. 1. (2). p. 19--29.

Zhu, Kongfeng and Li, Chengqing and Asari, Vijayan and Saupe, Dietmar(2014). No-Reference Video Quality Assessment Based on Artifact Measurement and Statistical Analysis. IEEE Transactions on Circuits and Systems for Video Technology. 25. (4). IEEE

Zhu, Kongfeng(2009). An algorithm of focusing region selection for auto-focusing. JOURNAL OF ANHUI UNIVERSITY(NATURAL SCIENCES). 32. (2).

GAO, Zan and JIANG, Wei and ZHU, Kong-feng and ZHOU, Xian(2007). Auto focusing algorithm based on the gradient of edge. Systems Engineering and Electronics. 3. p. 045.

Gao, Zan and Jiang, Wei and Zhu, Kong-feng and Wang, Chao(2006). Auto-focusing algorithm based on Roberts gradient. Infrared and Laser Engineering. 35. (1). p. 117. EDITORIAL BOARD OF JOURNAL OF INFRARED AND LASER ENGINEERING

Jiang, Wei and Gao, Zan and ZHU, Kong-feng(2006). An improved auto-focusing algorithm. Journal of Shandong University (Natural Science). 5. p. 028.

Zhu, Kong-feng and Jiang, Wei and Wang, Duan-fang(2005). New kind of clarity-evaluation-function of image. Infrared and Laser Engineering. 34. (4). p. 464. EDITORIAL BOARD OF JOURNAL OF INFRARED AND LASER ENGINEERING

DISSERTATION THESIS

Zhu, Kongfeng(2014). No-reference Video Quality Assessment and Applications.