Computer Vision for Multimedia Applications: Methods and Solutions

Computer Vision for Multimedia Applications: Methods and Solutions

Indexed In: SCOPUS
Release Date: October, 2010|Copyright: © 2011 |Pages: 354
DOI: 10.4018/978-1-60960-024-2
ISBN13: 9781609600242|ISBN10: 160960024X|EISBN13: 9781609600266
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Description & Coverage
Description:

Although a number of methods for solving computer vision tasks exist, these methods are often task-specific and can seldom be generalized over a wide range of applications. In addition, many computer vision algorithms have not been thoroughly studied.

Computer Vision for Multimedia Applications: Methods and Solutions includes the latest developments in computer vision methods applicable to various problems in multimedia computing. This publication presents discussions on new ideas, as well as problems in computer vision and multimedia computing. It will serve as an important reference in multimedia and computer vision for academicians, researchers, and academic libraries.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • 3D Modeling
  • Broadcasting Technologies
  • Computer vision in human computer interaction
  • Content-based multimedia retrieval
  • Image Synthesis
  • Motion analysis in multimedia
  • Multimedia content adaption in wireless environment
  • Multimedia visual content representation
  • Object analysis in multimedia
  • Video Segmentation
Reviews & Statements

We believe that a book to address the problem of applying computer vision into multimedia computing is high necessary. To a limited extent, the book can present existing works that pioneer the field; to a large extent, the book will let people in related area be aware of the situation, and inspire them to develop systems with better performance.

– Jinjun Wang, NEC Laboratories America, Inc., USA; Jian Cheng, Chinese Academy of Sciences, China; and Shuqiang Jiang, Chinese Academy of Sciences, China
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Editor/Author Biographies
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 Ph.D 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, etc. He has published over 30 journal and conference papers in those areas, and has six US patents pending. Dr. Wang served as Technical Program Committee Member of major international multimedia conferences, including ACM MM'08, IEEE PCM’09, IEEE MMM’09/'10, IEEE 3D-TV’09/'10, etc. He also served as peer reviewer of many journals and conferences.
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 Ph.D 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 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, etc. He has authored or co-authored more than 40 academic papers in these areas. He was awarded LU JIAXi Young Talent Prize 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), etc. He has also co-organized one special issue on Pattern Recognition Journal, and several special sessions on PCM 2008, ICME 2009, PCM 2010.
Shuqiang Jiang, associate professor. He received the Ph.D degree from ICT CAS, China in 2005. He is currently a faculty member at Digital Media Research Center, Institute of Computing Technology, Chinese Academy of Sciences. He is also with the Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences. His research interests include multimedia processing and semantic understanding, pattern recognition, and computer vision. He has published over 60 technical papers in the area of multimedia. He is a Member of IEEE and ACM. He serves as General Special session Co-Chair of Pacific-Rim Conference on Multimedia (PCM2008). He also served as Technical Program Committee Member in many prestigious multimedia conferences including International conference on IEEE Conference on Computer Vision and Pattern Recognition, IEEE International Conference on Computer Vision, ACM Multimedia, International Conference on Multimedia and Expo (ICME), Pacific-Rim Conference on Multimedia (PCM).
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Editorial Advisory Board
  • Dr. Hanjalic Alan, Delft University of Technology, Netherlands
  • Dr. Xu Changsheng, Institute of Automation, Chinese Academy of Sciences, China
  • Dr. Lu Hanqing, Chinese Academy of Sciences, China
  • Dr. Ebroul Izquierdo, Queen Mary University of London, UK
  • Dr. Jin Jesse S., University of Newcastle, Australia
  • Dr. Pietikainen Matti, University of Oulu, Finland 
  • Dr. Tian Qi, Microsoft Research Asia, China
  • Dr. Gao Wen, Peking University, China