Feng Wu received his B.S. degree in Electrical Engineering from XIDIAN University in 1992. He received his M.S. and Ph.D. degrees in Computer Science from Harbin Institute of Technology in 1996 and 1999, respectively. Wu joined in Microsoft Research Asia, formerly named Microsoft Research China as an Associate Researcher in 1999. He has been a researcher with Microsoft Research Asia since 2001 and is now a Senior Researcher/Research Manager.
His research interests include image and video representation, media compression and communication, as well as, computer vision and graphics. He has authored or co-authored over 100 papers published in journals like IEEE Transaction on Image Processing, IEEE Transactions on Circuits and System for Video Technology, IEEE Transactions on Multimedia and some other International Conferences and Forums, e.g., ICIP, ICME and ISCAS. As a co-author, he got the best paper award in IEEE T-CSVT 2009, PCM 2008 and SPIE VCIP 2007.
Wu has been a senior member of IEEE. He serves as a reviewer for IEEE Transaction on Image Processing, IEEE Transactions on Circuits and System for Video Technology, IEEE Transactions on Multimedia and several other International journals. He also serves as a member of the technical program committee of a number of International conferences, e.g., ICME, ISCAS, PCS and VCIP.
He has been an active contributor to ISO/MPEG and ITU-T standards. Some techniques have been adopted by MPEG-4 FGS, H.264/MPEG-4 AVC and H.264 SVC standard. Wu served as the chairman of China AVS video group in 2002~2004 and led the efforts on developing China AVS video standard 1.0. He has over 50 U.S. patents granted or pending in video and image coding.
Awards
Best Paper Award, IEEE Transaction on Circuits and Systemes for Video Technology (IEEE T-CSVT), 2009.
Best Paper Award, Pacific-Rim Conference on Multimedia (PCM) 2008
Best Paper Award, SPIE Visual Communication and Image Processing (VCIP) 2007
Second Award on National Technology and Invention, China, 2006
Excellent Ph.D. Thesis Award at the Harbin Institute of Technology, 2000
Professional Activities
Associate Editor of Advances in Multimedia
Guest Editor for Advance in Multimedia, Special Issue on Multimedia Immersive Technologies and Networking
Guest Editor for Journal of Computer Science and Technology, Special Issue on China AVS standard
TPC Co-chair, Visual Communication and Image Processing (VCIP) 2010, VCIP 2010 webpage, http://vcip2010.ustc.edu.cn/.
TPC Co-chair, Pacific-Rim Conference on Multimedia (PCM) 2009
TPC Multimedia Coding and Processing Track Co-chair, International Conference on Multimedia Expo (ICME) 2009
TPC Visual Signal Processing Track Chair, European Conference on Circuit Theory and Design 2009
TPC Co-chair, Visual Information Engineering (VIE) 2008
TPC Co-chair, International Conference on Natural Computation (ICNC) 2006
Demo Session Co-chair, International Conference on Multimedia Expo (ICME) 2007
Local Arrangement Co-chair, Visual Communication and Image Processing (VCIP) 2005
TPC member of MMSP 2009, IMMERSCOM 2009, DCC 2009, MMM 2008, ICME 2007, ICME 2006, PCS 2006, VCIP 2005
Chair of China AVS video group, 2002-2004
TC member of Visual Signal Processing and Communication (VSPC) and Multimedia System and Application (MMSP), IEEE Circuits and Systems Society
Reviewer of IEEE transaction on Circuits and Systems for Video Technology, IEEE transaction on Image Processing, IEEE transaction on Multimedia, IEEE transaction on wireless communications, IEEE Signal Processing Letters, EURASIP Journal, etc.
Reviewer of ICIP 2009, ICIP 2008, ISCAS 2008, ISCAS 2007, ICME 2007, ISCAS 2006
Selected Research Projects
1. Compressive Sensing
Compressive sensing as a new sampling theory reveals that a sparse signal can be recovered from randomly taking a small number of measurements. Because the number of measurement is much smaller than the number of signal samples, it is nature to connect compressive sensing to a new encoding strategy. An essential question arisen from this strategy is: how efficient is it for a sparse signal in the information-theoretic sense? We attempt to study the rate-distortion performance of compressive sensing by quantitatively analyzing the distortion at a given number of measurements. The analysis approaches upon Graph Theory and differential equations can be applied in other aspects, such as source coding, channel coding and communications. The selected publications on compressive sensing are listed as follows:
Feng Wu, Jingjing Fu, Zhouchen Lin, Bing Zeng, “Analysis on rate-distortion performance of compressive sensing for binary sparse source”, Data Compression Conference, pp. 113-122, 2009.
Chong Luo, Feng Wu, Jun Sun, Chang Wen Chen, "Compressive data gathering for large-scale wireless sensor networks", International Conference on Mobile Computing and Networking (MobiCom), pp. 145-156, 2009.
2. Vision-based Image and Video Coding
Vision-based image and video coding - mainstream signal-processing-based compression schemes share a common architecture, namely transform followed by entropy coding, where only the statistical redundancy among pixels is considered an adversary of coding. Through several decades of development, it has become difficult to continuously improve the coding performance under such architecture. Based on newly developed vision technologies (e.g., inpainting and hallucination), we explore new image and video coding architectures to incorporate signal processing techniques and vision techniques. The selected publications on vision-based image and video coding are listed as follows:
Dong Liu, Xiaoyan Sun, Feng Wu, Shipeng Li, Ya-qin Zhang, “Image compression with edge-based inpainting”, IEEE transaction on Circuits and Systems for Video Technology, vol. 17, no. 10, pp. 1273-1287, 2007 (Best Paper Award).
Dong Liu, Xiaoyan Sun, Feng Wu, Ya-Qin Zhang, “Edge-oriented uniform intra prediction”, IEEE transaction on Image Processing, vol. 17, no 10, pp 1827-1836, 2008
Feng Wu, Xiaoyan Sun, “Image compression by visual pattern vector quantization (VPVQ)”, Data Compression Conference, pp 282-291, 2008.
3. Directional Transform
2D DCT transform and 2D wavelet transform, which are extensively used in video and image coding, are implemented by two separable 1D transforms in horizontal and vertical directions. A serious drawback of these transforms is that they are ill-suited to approximate image features with arbitrary orientation that is neither vertical nor horizontal. We have developed directional wavelet transform and DCT transform. Both of them are carried out in the direction of image edges and textures in a local window, and are not necessarily horizontal or vertical. The performance with directional transform is better than JPEG and JPEG 2000 up to 2.0dB. The selected publications on directional transform are listed as follows:
Wenpeng Ding, Feng Wu, Xiaolin Wu, Shipeng Li, Houqiang Li, “Adaptive directional lifting-based wavelet transform for image coding”, IEEE transaction on Image Processing, vol. 16, no 2, pp. 416-427, 2007.
Hao Xu, Jizheng Xu, Feng Wu, “Lifting-based directional DCT-like transform for image coding”, IEEE transaction on Circuits and Systems for Video Technology, vol. 17, no. 10, pp. 1325-1335, 2007.
Jizheng Xu, Feng Wu, Jie Liang, Wenjun Zhang, “Directional lapped transforms for image coding”,acceptedby IEEE transaction on Image Processing
4. Scalable Video Coding
Dr Wu has deeply and systematically investigated scalable video coding. He proposes PFGS - progressive fine granularity scalable (PFGS) coding framework, which is a significant improvement over MPEG-4 FGS. It provides a framework to solve the conflict between coding efficiency and drift error in scalable video coding. His one paper on PFGS has been cited more than 250 times. He also systematically investigates 3D wavelet scalable video coding and proposes the Barbell lifting wavelet coding scheme. The Barbell coding scheme ranks the first in all wavelet-based solutions in MPEG testing. The selected publications on scalable video coding are listed as follows.
Ruiqin Xiong, Jizheng Xu, Feng Wu, Shipeng Li, “Barbell-lifting based 3-D wavelet coding scheme”, IEEE transaction on Circuits and Systems for Video Technology, vol. 17, no. 9, pp. 1256-1269, 2007. (invited paper)
Lin Luo, Feng Wu, Shipeng Li, Zixiang Xiong, Zhenquan Zhuang, “Advanced motion threading for 3D wavelet video coding”, Signal Processing: Image Communication, special issue on subband/wavelet video coding, vol. 19, no 7, pp. 601-616, 2004.
Feng Wu, Shipeng Li, Ya-Qin Zhang, “A framework for efficient progressive fine granular scalable video coding”, IEEE transaction on Circuits and Systems for Video Technology, special issue on streaming video, vol. 11, no 3, pp. 332-344, 2001.
5. Stream Switching
Stream switching - highly efficient adaptation on channel bandwidth is broadly required by streaming video over the Internet. Switching among non-scalable streams and/or scalable streams is a challenging topic because it may cause severe visual artifacts and PSNR degradation due to the mismatch on reconstructed references. Some techniques are developed and reported, such as improvements in the switching method of H.264/MPEG-4 AVC, switching among scalable streams, switching through distributed coding, etc. The selected publications on scalable video coding are listed as follows:
Mei Guo, Yan Lu, Feng Wu, Debin Zhao, Wen Gao, “Wyner-ziv switching scheme for multiple bit-rate video streaming”, IEEE transaction on Circuits and Systems for Video Technology. vol. 18, no 5, pp. 569-581, 2008.
Xiaoyan Sun, Feng Wu, Guobin Shen, Wen Gao, “Drift-free switching of compressed video bitstreams at predictive frames”, IEEE transaction on Circuits and Systems for Video Technology, vol. 16, no. 5, pp. 565-576, 2006.
Xiaoyan Sun, Feng Wu, Shipeng Li, Wen Gao, Ya-Qin Zhang, “Seamless switching of scalable video bitstreams for efficient streaming”, IEEE transaction on multimedia, special issue on Video Streaming, vol. 6, no. 2, pp. 291-303, 2004.
ISO/MPEG, ITU-T and JVT Proposals
Dr Wu has been an active contributor to ISO/MPEG, ITU-T and JVT standards. He and his team actively involve the activities of MPEG-4 FGS, H.264/MPEG-4 AVC and the scalable extension of H.264/MPEG-4 AVC. The following proposals were adopted by these standards.
Kai Zhang, Jizheng Xu, Feng Wu, “Frame based selective inter-layer prediction”, ISO/IEC JTC1/SC29/ WG11 and ITU-T SG16 Q.6, JVT-S051, Geneva, April 2006.
Yihua Chen, Jizheng Xu, Feng Wu, Hongkai Xiong, “Response to SVC CE6: Improvements of update step”, ISO/IEC JTC1/SC29/ WG11 and ITU-T SG16 Q.6, JVT-P047, Poznan, July 2005.
Alexis Michael Tourapis, Feng Wu, Shipeng Li, "Performance analysis of Lagrangian parameter selection in JVT", ISO/IEC JTC1/SC29/ WG11 and ITU-T SG16 Q.6, JVT-D041, Klagenfurt, Austria, July 2002.
Alexis Michael Tourapis, Feng Wu, Shipeng Li, "Timestamp independent motion vector prediction for P and B frames with division elimination", ISO/IEC JTC1/SC29/ WG11 and ITU-T SG16 Q.6, JVT-D040, Klagenfurt, Austria, July 2002.
Alexis Michael Tourapis, Jizheng Xu, Feng Wu, Shipeng Li, "Motion vector prediction in bidirectionally predictive (B) frames with regards to direct mode", ISO/IEC JTC1/SC29/ WG11 and ITU-T SG16 Q.6, JVT-C127, Fairfax, Virginia, USA, May 2002.
Xiaoyan Sun, Feng Wu, Shipeng Li, Ragip Kurceren, "The improved JVT-B097 SP coding scheme", ISO/IEC JTC1/SC29/ WG11 and ITU-T SG16 Q.6, JVT-C114, Fairfax, Virginia, USA, May 2002.
Rong Yan, Feng Wu, Shipeng Li and Ya-Qin Zhang, “Error resilience methods in the FGS enhancement bitstream”, ISO/IEC MPEG 53th meeting, M6207, Beijing, China, July 2000.
FULL PUBLICATIONS
Proposal List to ISO/MPEG and ITU-T
Co-Supervised and Supervised Students
Ph.D students
Markus B. Schenkel EPFL, Switzerland
2009.9 ~
Hao CUI Univerisity of Science and Technology of China, China
2009.8 ~
Xiaolin LIU University of Science and Technology of China, China
2009.8 ~
Zhi LI Stanford University, USA
2009.7 ~2009.9
Binxing JIAO University of Science and Technology of China, China
2008.7 ~
Zhiwei XIONG University of Science and Technology of China, China
2007.9 ~
Wei PU University of Science and Technology of China, China
2007.6 ~ 2009.8
Wen SUN University of Science and Technology of China, China
2007.7 ~
Xiulian PENG University of Science and Technology of China, China
2008.7 ~
Jingjing FU Hong Kong University of Science & Technology, Hong Kong
2007.8 ~ 2009.7
Dong LIU University of Science and Technology of China, China
2005.7 ~ 2008.7
Yi GUO University of Science and Technology of China, China
2008.4 ~ 2008.6
Qiu SHEN University of Science and Technology of China, China
2007.8 ~ 2008.1
Ruiqin XIONG Institute of Computing Technology, China
2002.8 ~ 2007.8
Tiantian SUN Institute of Computing Technology, China
2006.5 ~ 2007.4
Wenpeng DING University of Science and Technology of China, China
2006.10 ~ 2007.2, 2008.6 ~ 2009.8
Nan YAO West-North Polytechnic University, China
2006.10 ~ 2007.2
Chunbo ZHU University of Science and Technology of China, China
2006.9 ~ 2007.2
Jingyu YANG Tsinghua University, China
2006.9 ~ 2006.12
Jing MA Xidian University, China
2006.8 ~ 2006.12
Weisheng DONG Xidian University, China
2006.9 ~ 2006.12
Kaichao YANG National Tsinghua University, Taiwan
2006.9 ~ 2006.10
Bing HAN University of Florida, USA
2006.5 ~ 2006.8, 2007.3 ~ 2007.8
Yu LIU Chinese University of Hong Kong, Hong Kong
2006.4 ~ 2006.7
Li SU Graduate School of China Academy of Science, China
2006.3 ~ 2006.6, 2007.4 ~ 2007.11
Zhenzhong CHEN Chinese University of Hong Kong, Hong Kong
2006.4 ~ 2006.5
Bin LI Tsinghua University, China
2006.2 ~ 2006.5
Yi LIU ZHE JIANG University, China
2005.10 ~ 2006.4
Xun GUO Harbin Institute of Technology, China
2004.12 ~ 2006.2
Huifeng SHEN University of Science and Technology of China, China
2004.12 ~ 2006.1, 2007.2 ~
Jianhua WU Nanyang Technological University, China
2005.7 ~ 2005.11
Debin LIU Institute of Computing Technology, China
2004.6 ~ 2005. 9
Jie LI Chinese University of Hong Kong, Hong Kong
2005.7 ~ 2005.9
Nan ZHANG Beijing University of Technology, China
2004.10 ~ 2005.6
Dongdong ZHANG Shanghai Jiaotong University, China
2004.6 ~ 2005.2
Xin JIN Huazhong University of Science and Technology, China
2004.10 ~ 2005.1
Wenxian YANG Nanyang Technological University, Singapore
2004.7 ~ 2004.11
Shaohui LIU Harbin Institute of Harbin, China
2004.6 ~ 2004.9
Li SONG Shanghai Jiaotong University, China
2004.5 ~ 2004.8
Yi WANG University of Science and Technology of China, China
2003.12 ~ 2004.4, 2005.5 ~ 2006.1
Zhijie YANG Institute of Software, China
2002.3 ~ 2004.2
Bojin ZHUANG Peking University, China
2003.9 ~ 2004.2
Lujun YUAN Institute of Computing Technology, China
2003.3 ~ 2004.1
Jungong HAN Xidian University, China
2003.2 ~ 2003.12
Xiangyang JI Institute of Computing Technology, China
2002.12 ~ 2003.3, 2004.3 ~ 2005.7
Tianli CHU Texas A&M University, China
2002.5 ~ 2002.8
Xun LI Beijing Institute of Technology, China
2001.11 ~ 2002.3
Rong YAN Beijing Institute of Technology, China
2000.4 ~ 2002.3
Hua CAI Hong Kong University of Science and Technology, Hong Kong
2001.6 ~ 2001.11
Lin LUO University of Science and Technology of China, China
2000.3 ~ 2001.11, 2002.1 ~ 2003.3
Yuwen HE Tsinghua University, China
2001.3 ~ 2001.9
Xiaoyan SUN Harbin Institute of Technology, China
2000.9 ~ 2001.9, 2001.12 ~ 2003.11
Zhen LI Purdue University, USA
2001.5 ~ 2001.8, 2002.5 ~ 2002.8
Yisong CHEN Nanjing University, China
2000.11~2001.3
Qi WANG Tsinghua University, China
2000.4~2000.10
Shunan LIN Polytechnic University, USA
2000.5~2000.8
Jian ZHOU University of Washington, USA
2000.6~2000.8
Undergraduate and Master students
Niao HE University of Science and Technology of China, China
2009.7 ~ 2009.8
Pewen YU University of Science and Technology of China, China
2009.2 ~ 2009.6
Cuiling LAN Xidian University, China
2008.2 ~ 2009.1
Qirong MA University of Science and Technology of China, China
2008.3 ~ 2008.6
Hao CUI University of Science and Technology of China, China
2008.3 ~ 2008.6
Lin MA Harbin Institute of Technology, China
2007.10 ~ 2008.3
Wei GUAN Nanyang Technological University, Singapore
2007.11 ~ 2008.2
Tianmi CHEN Xidian University, China
2007.10 ~ 2007.9
Xiulian PENG University of Science and Technology of China, China
2007.3 ~ 2007.8
Wenrui DAI Shanghai Jiaotong University, China
2007.4 ~ 2007.7
Wei WANG Shanghai Jiaotong University, China
2007.3 ~ 2007.6
Tiantian SUN Institute of Computing Technology, China
2005.10 ~ 2006.4
Yang LI Shanghai Jiaotong University, China
2006.9 ~ 2006.12
Yanyan ZHENG Institute of Computing Technology, China
2006.10 ~ 2006.11
Binxing JIAO University of Science and Technology of China, China
2006.7 ~ 2006.8, 2007.2 ~ 2007.8
Haomian WANG University of Science and Technology of China, China
2006.7 ~ 2006.8
Zhiwei XIONG University of Science and Technology of China, China
2006.2 ~ 2006.8
Kai ZHANG Institute of Computing Technology, China
2005.11 ~ 2006.2, 2006.12 ~ 2007.4
Qiwei LIU University of Science and Technology of China, China
2005.8 ~ 2006.1
Chen WANG Shanghai Jiaotong University, China
2005.6 ~ 2005.10
Gang BAI Beijing University of Technology, China
2004.12 ~ 2005.8
Hao XU University of Science and Technology of China, China
2005.7 ~ 2005.8, 2006.2 ~ 2006.8
Wen SUN University of Science and Technology of China, China
2005.7 ~ 2005.8, 2006.2 ~ 2006.8
Ruishen TANG University of Science and Technology of China, China
2005.2 ~ 2005.8
Yihua CHEN Shanghai Jiaotong University, China
2005.2 ~ 2005.7
Yan CHEN University of Science and Technology of China, China
2004.7 ~ 2004.9
You ZHOU University of Science and Technology Beijing, China
2002.12 ~ 2004.9
CunXun ZANG Institute of Automation, China
2004.5 ~ 2004.8
Qian YU University of Science and Technology of China, China
2004.7 ~ 2004.8, 2005.2 ~ 2005.6
Wenpeng DING University of Science and Technology of China, China
2004.2 ~ 2004.8
Wei PU University of Science and Technology of China, China
2004.2 ~ 2004.8
Bo FENG Tsinghua University, China
2003.12 ~ 2004.4
Jizheng XU Institute of Computing Technology, China
1999.7 ~ 2003.10
Qian XU University of Science and Technology of China, China
2001.8 ~ 2002.6
Xiaodong FAN Johns Hopkins University, USA
2001.5 ~ 2001.8
CONTACT INFORMATION
MICROSOFT RESEARCH CHINA
5F Sigma, No49 Zhichun Rd
Haidian, Beijing, 100190, China
Email: fengwu@microsoft.com
Phone: (86-10) 58963119
Fax: (86-10) 88097306
