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About the Contributors
Bai Xiao received the B.Eng. degree in Computer Science from Beihang University (BUAA) of
China in 2001. From 2002 to 2006, he was a Ph.D. student at Computer Science Department, University of York, U.K. under the supervision of Professor Edwin R. Hancock. From September 2006 to
December 2008, he was a Research Officer (Fellow, Scientist) at Computer Science Department, University of Bath. He is now an Associate Professor at Computer Science School, Beihang University
(BUAA). He has published more than 30 papers in journals and refereed conferences. His current research
interests include computer vision, image processing, and pattern recognition.
Jian Cheng is currently an Associate Professor of Institute of Automation, Chinese Academy of
Sciences. He received the B.S. and M.S. degrees in Mathematics from Wuhan University in 1998 and
in 2001, respectively. In 2004, he got his PhD degree in Pattern Recognition and Intelligent Systems
from Institute of Automation, Chinese Academy of Sciences. From 2004 to 2006, he has been working
as postdoctoral researcher in Nokia Research Center. Then he joined National Laboratory of Pattern
Recognition, Institute of Automation. His current research interests include image and video search,
machine learning, et cetera. He has authored or co-authored more than 40 academic papers in these areas.
He was the recipient of Lu Jia Xi Young Talent award in 2010. Dr. Cheng served as Technical Program
Committee member for some international conferences, such as ACM Multimedia 2009 (content), IEEE
Conference on Computer Vision and Pattern Recognition (CVPR’08), IEEE International Conference on
Multimedia and Expo (ICME’08), Pacific-Rim Conference on Multimedia (PCM’08), IEEE International
Conference on Computer Vision (ICCV’07), et cetera. He has also co-organized one special issue on
Pattern Recognition Journal, and several special sessions on PCM 2008, ICME 2009, and PCM 2010.
Edwin R. Hancock studied Physics as an undergraduate at the University of Durham and graduated
with honors in 1977. He remained at Durham to complete the PhD degree in the area of High-Energy
Physics in 1981. Following this, he worked for 10 years as a researcher in the fields of high-energy
nuclear physics and pattern recognition at the Rutherford-Appleton Laboratory (now the Central Research Laboratory of the Research Councils). In 1991, he moved to the University of York as a Lecturer
in the Department of Computer Science. He was promoted to Senior Lecturer in 1997 and to reader in
1998. In 1998, he was appointed to a Chair in Computer Vision. Professor Hancock now leads a group
of some 15 faculty, research staff, and PhD students working in the areas of computer vision and pattern
recognition. His main research interests are in the use of optimization and probabilistic methods for
high and intermediate level vision. He is also interested in the methodology of structural and statistical
pattern recognition. He is currently working on graph-matching, shape-from-X, image databases, and
About the Contributors
statistical learning theory. He has published more than 90 journal papers and 350 refereed conference
publications. He was awarded the Pattern Recognition Society medal in 1991 and an outstanding paper
award in 1997 by the journal Pattern Recognition. In 1998, he became a fellow of the International Association for Pattern Recognition. He has been a member of the editorial boards of the journals IEEE
Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition. He has also been
a guest editor for special editions of the journals Image and Vision Computing and Pattern Recognition.
***
Xiang Bai received the BS and MS degrees in Electronics and Information Engineering from Huazhong University of Science and Technology (HUST), Wuhan, China, in 2003 and 2005, respectively.
He is currently working toward the PhD degree at HUST. From January 2006 to May 2007, he was
with the Department of Computer Science and Information, Temple University. From October 2007 to
October 2008, he was with the University of California, Los Angeles, as a joint PhD student. He is now
an Associate Professor of EI Dept. at Huazhong University of Science and Technology.
Bing-Kun Bao received the Ph.D. degree in Control Theory and Control Application, Department
of Automation, University of Science and Technology of China (USTC), China, in 2009; and the B.E.
degree from the School of Computing, Hefei University of Technology, China, in 2004. She is currently
a Research Engineer in Electrical and Computer Engineering at the National University of Singapore
(NUS). Her research interests are in the areas of multimedia and computer vision.
Charels-Edmond Bichot is now an Assistant Professor at Ecole Centrale de Lyon, France. He received his PhD degree at 2004 in Computer Science in the Laboratoire d’Optimisation Globale (Global
Optimization Laboratory) of the Ecole Nationale de l’Aviation Civile (French Civil Aviation University),
and the Direction des Services de la Navigation A´erienne, Toulouse, France. His research subjects are
graph partitioning, data mining and image segmentation.
Jiang Bo received the Bachelor of Science degree in Mathematical Science from Anhui University
of China in 2009. He is currently a Master student in Computer Science at University of Anhui. His
current research interests include image and graph matching, image feature extraction, and statistical
pattern recognition.
Horst Bunke received his M.S. and Ph.D. degrees in Computer Science from the University of Erlangen, Germany. In 1984, he joined the University of Bern, Switzerland, where he is a Professor in the
Computer Science Department. He was Department Chairman from 1992 to 1996, Dean of the Faculty
of Science from 1997 to 1998, and a member of the Executive Committee of the Faculty of Science
from 2001 to 2003. From 1998 to 2000 Horst Bunke served as 1st Vice-President of the International
Association for Pattern Recognition (IAPR). In 2000 he also was Acting President of this organization.
Horst Bunke is a Fellow of the IAPR, former Editor-in-Charge of the International Journal of Pattern
Recognition and Artificial Intelligence, Editor-in-Chief of the journal Electronic Letters of Computer
Vision and Image Analysis, Editor-in-Chief of the book series on Machine Perception and Artificial
Intelligence by WorldScientific Publ.Co., Advisory Editor of Pattern Recognition, Associate Editor of
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About the Contributors
Acta Cybernetica and Frontiers of Computer Science in China, and Former Associate Editor of the International Journal of Document Analysis and Recognition, and Pattern Analysis and Applications. Horst
Bunke received an honorary doctor degree from the University of Szeged, Hungary, and held visiting
positions at the IBM Los Angeles Scientific Center (1989), the University of Szeged, Hungary (1991),
the University of South Florida at Tampa (1991, 1996, 1998–2006), the University of Nevada at Las
Vegas (1994), Kagawa University, Takamatsu, Japan (1995), Curtin University, Perth, Australia(1999),
and Australian National University, Canberra(2005). He served as a co-chair of the 4th International Conference on Document Analysis and Recognition held in Ulm, Germany, 1997 and as a Track Co-Chair
of the 16th and 17th International Conference on Pattern Recognition held in Quebec City, Canada and
Cambridge, UK in 2002 and 2004, respectively. Also he was chairman of the IAPRTC2 Workshop on
Syntactic and Structural Pattern Recognition held in Bern 1992, a co-chair of the 7th IAPR Workshop
on Document Analysis Systems held in Nelson, NZ, 2006, and a co-chair of the 10th International Workshop on Frontiers in Handwriting Recognition, held in La Baule, France, 2006. Horst Bunke was on the
program and organization committee of many other conferences and served as a referee for numerous
journals and scientific organizations. He is on the Scientific Advisory Board of the German Research
Center for Artificial Intelligence (DFKI). Horst Bunke has more than 550 publications, including 36
authored, co-authored, edited, or co-edited books and special editions of journals.
Chris Ding received the PhD degree from Columbia University. He did research at the California
Institute of Technology, the Jet Propulsion Laboratory, and Lawrence Berkeley National Laboratory
before joining the University of Texas at Arlington in 2007 as a Professor of Computer Science. His
main research areas are machine learning and bioinformatics. He serves on many program committees of
international conferences and gave tutorials on spectral clustering and matrix models. He is an associate
editor of the journal Data Mining and Bioinformatics and is writing a book on spectral clustering to be
published by Springer. He is a member of the IEEE.
Pasquale Foggia received in 1995 a Laurea degree (cum laude) in Computer Engineering, and in 1999
a Ph.D. in Electronic and Computer Engineering from the “Federico II” University of Naples, Italy. Since
December 2004, he is Associate Professor of Computer Science at the Department of Computer Science
and Systems at the same university, where he is a member of the Artificial Vision Research Group. He
is the author of several research papers on these subjects. Prof. Foggia has also served as a referee for
many journals and conferences in the field of pattern recognition. He is a member of the IAPR, and has
been involved in the activities of the IAPR Technical Committee 15 (Graph-based Representations in
Pattern Recognition) since 1997. His research interests include graph-based techniques such as graph
matching, structural learning and graph-based clustering, and their applications in the fields of computer
vision and pattern recognition.
Tony Han is presently an Assistant Professor of Electrical & Computer Engineering at the University of Missouri (MU). He received his Ph.D. degree in Electrical and Computer Engineering from the
University of Illinois at Urban-Champaign in 2007. Dr. Han’s specialties lie in computer vision and
machine learning, with emphasis on human/object detection, large scale image retrieval, object tracking, action recognition, video analysis, and biometrics. He is a recipient of the CSE fellowship and is
an IEEE member.
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About the Contributors
Xiangjian He graduated with a Bachelor of Science (BSc) degree in Mathematics from Xiamen
University. Then, he became a postgraduate (Master by Research) student in Fuzhou University. After
he graduated from Fuzhou University with a Master of Science (MSc) degree in Mathematics, he went
to Australia for further study. He received a PhD degree in Computer Science and a Graduate Certificate
in Higher Education from the University of Technology, Sydney in 1999. Professor Xiangjian He has
taught and/or worked in various universities or research institutes in different countries. Since 1999, he
has been working in and permanently employed by the University of Technology, Sydney (Australia)
as a Lecturer, a Senior Lecturer, an Associate Professor, a Reader and a Full Professor. He has also been
a full-time academic, a visiting Professor, an adjunct Professor, a postdoctoral researcher, and a senior
researcher in various universities/institutions including Xiamen University, China, University of New
England, Australia, University of Georgia, USA, Electronic and Telecommunication Research Institute
(ETRI) of Korea, University of Aizu, Japan, and Hongkong Polytechnic University.
Yuchi Huang is now a Research Scientist at General Electronic. He was a Ph.D. student in the Department of Computer Sciences of Rutgers, the State University of New Jersey since September 2004.
Prior to this he received his M.Sc. in Pattern Recognition from Chinese Academy of Sciences in 2001,
and B.E. in Automatic Control from Beijing University of Aeronautics and Astronautics. Areas of his
research interest include computer vision, machine learning, image categorization, object recognition
and segmentation, image retrieval, shape alignment and tracking, and video analysis.
Wenjing Jia is now a PhD student at the University of Technology, Sydney (UTS), majored in
Computing Sciences. She is currently doing research on Pattern Recognition within Spiral Architecture.
Longin Jan Latecki received the PhD degree in Computer Science from Hamburg University,
Germany, in 1992. He is a Professor of Computer Science at Temple University, Philadelphia. His main
research interests include shape representation and similarity, object detection and recognition in images,
robot perception, machine learning, and digital geometry. He has published over 190 research papers and
books. He is an editorial board member of Pattern Recognition and International Journal of Mathematical Imaging. He received the annual Pattern Recognition Society Award together with Azriel Rosenfeld
for the best article published in the journal Pattern Recognition in 1998. He is the recipient of the 2000
Olympus Prize, the main annual award, from the German Society for Pattern Recognition (DAGM).
Chunyuan Li received the B.S. degree in Electronics and Information Engineering from Huazhong
University of Science and Technology (HUST), Wuhan, China, in 2011. He is going to pursue the M.Sc.
degree in Concordia University, Montreal, Canada. His research interests include computer vision and
pattern recognition.
Bin Luo received his BEng degree in Electronics and MEng degree in Computer Science from Anhui University of China in 1984 and 1991, respectively. In 2002, he was awarded the Ph.D. degree in
Computer Science from the University of York, the United Kingdom. He has published some 200 papers
in journals, edited books, and refereed conferences. He is at present a Professor at Anhui University
of China. His current research interests include random graph theory and applications, graph spectral
analysis, image and graph matching, and statistical pattern recognition.
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About the Contributors
Jixin Ma is a Reader at School of Mathematics and Computing, University of Greenwich, UK. He
received Doctoral degree in Computer Science from University of Greenwich. He is a member of the
American Association of Artificial Intelligence Committee, member of China-Britain Technology and
Trade Association, member of World Scientific and Engineering Society, and a member of UK Temporal
Reasoning, Artificial Intelligence and Logic Group. His main research interests include: artificial intelligence, software engineering, and mathematical logic. Special research interests are in: temporal logic,
temporal databases, reasoning about action and change, case-based reasoning, pattern recognition, and
graph matching.
Kaspar Riesen received his M.S. and Ph.D. degrees in Computer Science from the University of
Bern, Switzerland, in 2006 and 2009, respectively. Currently he is a Researcher and Lecture Assistant in
the research group of Computer Vision and Artificial Intelligence at the University of Bern, Switzerland.
His research interests include structural pattern recognition and in particular graph embeddings in real
vector spaces. He has more than 30 publications, including six journal papers.
Liu Shang received the B.S. degree in Computer Science from Beihang University (BUAA) of
China in 2009. She is now perusing her Master degree at School of Computer Science and Engineering,
Beihang University. Her research interests include Image processing, image classification, and pattern
recognition application.
Dengdi Sun received his B.Sc and M.Sc degree from the School of Mathematics and Computation Science of Anhui University in 2005 and 2008, respectively. He is a PhD student in the School of
Computer Science and Technology of Anhui University. His research interests include computer vision,
statistical pattern recognition, and machine learning.
Jin Tang received the B.Eng. degree in Automation in 1998, and the Ph.D. degree in Computer Science in 2007 from Anhui University, Hefei, China. Since 2009, he has been an Associate Professor at
the School of Computer Science and Technology at the Anhui University. His research interests include
image processing, pattern recognition, machine learning, and computer vision.
Mario Vento is a fellow member of International Association Pattern Recognition (IAPR). Currently
he is Full Professor of Computer Science and Artificial Intelligence in the University of Salerno, where
he is the coordinator of Artificial Vision Lab. From 2002 to 2006, he was chairman of Technical Committee TC15 of IAPR “Graph Based Representation in Pattern Recognition,” and from 2003, Associate
Editor of the Electronic Letters on Computer Vision and Image Analysis. He is Scientific Coordinator of
several research projects funded by the Italian Ministry of University and by the European Community.
He is especially focused on real time video analysis and interpretation for traffic monitoring and video
surveillance applications, classification techniques (either statistical, syntactic, or structural), exact and
inexact graph matching, multi-expert classification and learning methodologies for structural descriptions. He has authored over 170 research papers in international journals and conference proceedings
and serves as referee for many relevant journals in the field of pattern recognition. His research interests
include artificial intelligence, image analysis, pattern recognition, machine learning, and artificial vision.
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About the Contributors
Jinjun Wang received the B.E. and M.E. degree from Huazhong University of Science and Technology, China, in 2000 and 2003. He received the PhD degree from Nanyang Technological University,
Singapore, in 2006. From 2006 to 2009, Dr. Wang was with NEC Laboratories America, Inc. as a postdoctoral research scientist, and in 2010, he joined Epson Research and Development, Inc. as a senior
research scientist. His research interests include pattern classification, image/video enhancement and
editing, content-based image/video annotation and retrieval, semantic event detection, et cetera.
Shikui Wei received the B.E. degree in Electrical Engineering from Hebei University, Hebei, China,
in 2003, the M.E. degree in Signal and Information Processing from Beijing Jiaotong University (BJTU),
Beijing, China, in 2005, and the Ph.D. degree from the Institute of Information Science, BJTU, in 2010.
Currently, he is a Research Fellow with the School of Computer Engineering, Nanyang Technological
University, Singapore. His current research interests include computer vision, image/video analysis and
retrieval, and copy detection.
Jiangjian Xiao is a professor in Ningbo Industrial Technology Research Institute (NITRI), CAS.
Before joining NITRI in October 2010, he worked as a Senior Member Technique Staff in computer
vision division at Sarnoff Corporation since 2005. He earned his PhD degree at the Computer Science
Department at University of Central Florida (UCF) in 2004. Dr. Xiao’s areas of expertise are computer
vision, image and video processing, computer graphics, 3D visualization, and pattern recognition. His
current research work is focused on wide area airborne surveillance, object detection and tracking,
3D reconstruction, video segmentation and scene understanding, optical flow estimation, and object
recognition. Dr. Xiao also received both B.S. degree and M.S. degree from Beijing University of Aeronautics and Astronautics, Beijing, P.R. China, in 1994 and 1997, respectively. He is an Associate Editor
of Machine Vision and Application Journal. He has served as a session chair in IEEE Conference on
Computer Vision and Pattern Recognition 2008, program chair for IEEE CVPR workshop WVAP2011,
and program chair for DEA2011.
Changsheng Xu is a Professor of National Lab of Pattern Recognition, Institute of Automation,
Chinese Academy of Sciences. He is also the Executive Director of China-Singapore Institute of Digital
Media. His research interests include multimedia content analysis, image processing, pattern recognition,
and computer vision. He has published over 180 refereed book chapters, journal and conference papers
in these areas. He is an Associate Editor of ACM/Springer Multimedia System Journal and is on the
Editorial Board of International Journal of Multimedia Intelligence and Security. He served as Program
Co-Chair of ACM Multimedia 2009, Program Co-Chair of 2009 International Conference on Internet
Multimedia Computing and Services, General Co-Chair of Pacific-Rim Conference on Multimedia
(PCM) 2008, Short Paper Co-Chair of ACM Multimedia 2008, General Co-Chair of 2007 Asia-Pacific
Workshop on Visual Information Processing, Program Co-Chair of Asia-Pacific Workshop on Visual
Information Processing, and Industry Track Chair and Area Chair of 2007 International Conference on
Multimedia Modeling. He is on organizing committees and program committees in many prestigious
multimedia conferences including ACM Multimedia, ICME, PCM, CIVR, MMM, among others. He
is Director of Programs of ACM SIG Multimedia Beijing Chapter. Dr. Xu is a Senior Member of IEEE
and Member of ACM.
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About the Contributors
Min Xu received Ph.D degree of IT from University of Newcastle, Australia, Master degree of Science (Computing) from National University of Singapore, and Bachelor degree of Engineering from
University of Science and Technology of China in 2010, 2004, and 2000, respectively. Dr. Xu’s expertise
is in multimedia and IT. She introduced audio keywords to assist video content analysis in 2003. Her
proposed method outperformed most traditional visual based methods and attached a lot of followed
research on joined audio and video content analysis. She further proposed a multimodality mid-level
representation framework to bridge the gap between low-level audio and video features and high-level
video content. In 2006, she developed a video adaptation system based on MPEG-21 Digital Item Adaptation framework. The proposed system, one of the earliest such systems, considered user preference
of video content as well as normal bandwidth constraints and provided a personalised video access.
Another of her recent achievements is affective content analysis using multiple modality features. Dr.
Xu has published over 40 research papers in high quality international journals and conferences. Over
400 citations of her research papers show her reputation in her research field.
Shuicheng Yan is currently an Assistant Professor in the Department of Electrical and Computer
Engineering at National University of Singapore, and the founding lead of the Learning and Vision
Research Group (http://www.lv-nus.org). Dr. Yan’s research areas include computer vision, multimedia
and machine learning, and he has authored or co-authored over 200 technical papers over a wide range
of research topics. He is an associate editor of IEEE Transactions on Circuits and Systems for Video
Technology, and has been serving as the guest editor of the special issues for TMM and CVIU. He received the Best Paper Awards from ACM MM’10, ICME’10 and ICIMCS’09, the winner prize of the
classification task in PASCAL VOC’10, the honorable mention prize of the detection task in PASCAL
VOC’10, 2010 TCSVT Best Associate Editor (BAE) Award, 2010 Young Faculty Research Award, and
the co-author of the best student paper awards of PREMIA’09 and PREMIA’11.
Xingwei Yang received the BE degree in Electronics and Information Engineering from Huazhong
University of Science and Technology (HUST), Wuhan, China, in 2006. In 2011, he obtained PhD degree
in the Department of Computer and Information Science at Temple University, Philadelphia, USA. He
is now a research scientist at GE Global Research Center in United States.
Chao Zeng is now a PhD student at the University of Technology, Sydney (UTS), majored in Computing Sciences. His supervisor is Prof. Xiangjian He.
Guoxing Zhao is now a Lecturer at Beijing Normal University. He received PhD of temporal logic,
at University of Greenwich, UK. His research interests are mathematical logic and application, graph
matching, and GPU computing.
Guangyu Zhu received the B.S., M.S. and Ph.D. degrees in Computer Science from the Harbin
Institute of Technology in 2001, 2003, and 2008, respectively. He worked as a research scientist in
NEC Laboratories America. He is now a senior research faculty with the Department of Electrical and
Computer Engineering of National University of Singapore. His research interests include the image
processing, computer vision, machine learning and multimedia analysis. He has published more than 20
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About the Contributors
papers in journals and refereed conferences. He also published 2 academics books and held 1 industry
patent. He was the technical program committee member of ACM MMM’07, ACM CIVR’10, IEEE
ICIP’10, and ACM ICIMCS’10. He was the special session chair of ACM ICIMCS’09.
Fan Zhang received the BSc degree in Computer Science and BEng degree in Civil Engineering
from Zhejiang University, China, in 2003 and the PhD degree in Computer Vision from the Department
of Computer Science at the University of York in 2008 under the supervision of Professor E.R. Hancock.
In 2006, as a graduate student he visited the University of North Carolina at Chapel Hill, USA, as part
of the Gibbs/Plessey Award for the best research proposal to visit an overseas research laboratory. He
received the Piero Zamperoni Best Student Paper Award from ICPR 2006. His research interests are in the
use of geometrical and Bayesian methods for vision and medical image analysis. He now works for IBM.
Yao Zhao received the B.E. degree from Fuzhou University, Fuzhou, China, in 1989, and the M.E.
degree from Southeast University, Nanjing, China, in 1992, both from the Radio Engineering Department,
and the Ph.D. degree from the Institute of Information Science, Beijing Jiaotong University (BJTU),
Beijing, China, in 1996. He was an Associate Professor with BJTU in 1998 and a Professor in 2001.
From 2001 to 2002, he was a Senior Research Fellow with the Information and Communication Theory
Group, Faculty of Information Technology and Systems, Delft University of Technology, Delft, The
Netherlands. He is currently the Director of the Institute of Information Science, BJTU. Currently, he
is leading several national research projects from the 973 Program, the 863 Program, the National Science Foundation of China, and the Fok Ying Tong Education Foundation. His current research interests
include image/video coding, fractals, digital watermarking, and content-based image retrieval.
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