• DocumentCode
    1907409
  • Title

    Invited Talk II

  • Author

    Schaefer, Gerald

  • Author_Institution
    Loughborough Univ., Loughborough, UK
  • fYear
    2012
  • fDate
    5-7 Nov. 2012
  • Abstract
    Summary form only given. Gerald Schaefer gained his BSc. in Computing from the University of Derby and his PhD in Computer Vision from the University of East Anglia. He worked at the Colour & Imaging Institute, University of Derby (1997-1999), in the School of Information Systems, University of East Anglia (2000-2001), in the School of Computing and Informatics at Nottingham Trent University (2001-2006), and in the School of Engineering and Applied Science at Aston University (2006-2009) before joining the Department of Computer Science at Loughborough University where he leads the Vision, Imaging and Autonomous Systems Research Division. His research interests are mainly in the areas of colour image analysis, image retrieval, physics-based vision, medical imaging, and computational intelligence. He has published extensively in these areas with a total publication count exceeding 250. He is a member of the editorial board of more than 10 international journals, reviews for over 70 journals and served on the programme committee of more than 200 conferences. He has been invited as keynote or tutorial speaker to more than 30 conferences, is the organiser of various international workshops and special sessions at conferences, and the editor of several books, conference proceedings and special journal issues.
  • Keywords
    computer vision; image colour analysis; image retrieval; autonomous systems research division; colour image analysis; computational intelligence; computer vision; image retrieval; imaging systems research division; information systems; medical imaging; physics based vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2012 Fifth International Conference on
  • Conference_Location
    Himeji
  • ISSN
    2157-0477
  • Print_ISBN
    978-1-4799-0276-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2012.80
  • Filename
    6495208