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Computer Science - Image Processing | International Journal of Computer Vision - incl. option to publish open access (Editorial Board)

International Journal of Computer Vision

International Journal of Computer Vision

Co-Editors-in-Chief: K. Ikeuchi; C. Schnörr; M. Hebert; C. Schmid

ISSN: 0920-5691 (print version)
ISSN: 1573-1405 (electronic version)

Journal no. 11263

Read online on SpringerLink

Editors-in-Chief:

Katsushi Ikeuchi
The University of Tokyo, Japan

Christoph Schnörr
University of Heidelberg, Germany

Martial Hebert
Carnegie Mellon University, USA

Cordelia Schmid
INRIA Grenoble, France

Editorial Assistants: Lynnetta Miller; Keiko Motoki; Evelyn Verlinden

Editorial Board:

Edward H. Adelson, MIT; Luis Alvarez, Universidad de las Palmas de Gran Canaria; Francis Bach, INRIA - Ecole Normale Supérieure; Subhashis Banerjee, Indian Institute of Technology, Delhi; Andrew Blake, Microsoft Research; Terrance Boult, University of Colorado Colorado Springs; Yuri Boykov, University of Western Ontario; Christoph Bregler, New York University; Mike Brooks, University of Adelaide; Michael Brown, National University of Singapore; Stefan Carlsson, KTH Sweden; Vicente Caselles, Universitat Pompeu Fabra; Tat-Jen Cham, Nanyang Technological University; Bidyut Baran Chaudhuri, Indian Statistical Institute; Subhasis Chaudhuri, Indian Institute of Technology, Bombay; Robert Collins, Pennsylvania State University; Daniel Cremers, TU MunichLarry Davis, University of Maryland; Koichiro Deguchi, Tohoku UniversitySven Dickinson, University of TorontoAlexei Efros, Carnegie Mellon UniversityPedro Felzenszwalb, University of Chicago; Andrew Fitzgibbon, University of Oxford; David Forsyth, University of Illinois at Urbana-Champaign; Kristen Grauman, University of Texas at AustinEric Grimson, MIT Artificial Intelligence Laboratory; Gregory D. Hager, John Hopkins University; Richard Hartley, RSISE, Australian National University; Anders Heyden, Malmo University; Vaclav Hlavac, Czech Technical University; Derek Hoiem, University of Illinois at Urbana-ChampaignRadu Horaud, INRIA Rhone-AlpesYi-Ping Hung, National Taiwan University; Daniel Huttenlocher, Cornell University; Hiroshi Ishikawa, Waseda University; Pushmeet Kohli, Microsoft Research; Ron Kimmel, Technion Haifa; Reinhard Klette, University of Auckland; Jan Koenderink, Universiteit Utrecht; Jana Kosecka, George Mason University; In So Kweon, Korea Advanced Institute of Science and Technology; Ivan Laptev, INRIASvetlana Lazebnik, University of Illinois at Urbana-ChampaignAnat Levin, The Weizmann Institute of Science; Stephen Lin, Microsoft Research Asia; Zhouchen Lin, Peking University; David Lowe, University of British Columbia; Yi Ma, Microsoft Research; Gregoire MalandainINRIA; Jiri Matas, Czech Technical University; Yasuyuki Matsushita, Microsoft Research Asia; Steve Maybank, University of London; Gérard Medioni, University of Southern California; Etienne Memin, INRIA;  Jean-Michel Morel, CMLAGreg Mori, Simon Fraser University; Yasuhiro Mukaigawa, Osaka University; Joseph Mundy, Brown University; Srinivasa NarasimhanCarnegie Mellon UniversityNassir Navab, TU Munich; Shree K. Nayar, Columbia University in the City of New York; Mads Nielsen, University of Copenhagen; Ko Nishino, Drexel UniversityAlison Noble, Oxford University; Masatoshi Okutomi, Tokyo Institute of TechnologyNikos Paragios, Ecole Centrale de Paris; Xavier Pennec, INRIA; Patrick Perez, IRISAMarc Pollefeys, ETH Zurich/University of North Carolina at Chapel Hill; Long Quan, Hong Kong University of Science & and Technology; Deva Ramanan, University of California at Irvine (UC Irvine); James M. Rehg, Georgia Institute of Technology; Stefan Roth, TU DarmstadtImari Sato, National Institute of Informatics; Jun Sato, Nagoya Institute of Technology; Yoichi Sato, The University of TokyoShin'ichi SatohNational Institute of Informatics; Bernt Schiele, MPI Informatics, Saabrucken, Germany; Bernhard Scholkopf, Max Planck Institute for Biological Cybernetics; Steve Seitz, University of Washington; Josef Sivic, INRIA; A.W.M. Smeulders, University of Amsterdam; Stefano Soatto, UCLA; David Suter, University of Adelaide; Ping Tan, National University of Singapore; Chi-Keung Tang, Hong Kong University of Science and Technology; Xiaoou Tang, Chinese University of Hong Kong; Antonio Torralba, Massachusetts Institute of Technology; Shimon Ullman, The Weizmann Institute of Science; Raquel Urtasun, TTI Chicago; Luc Van Gool, Katholieke Universiteit Leuven; Olga Veksler, University of Western Ontario; Baba C. Vemuri, University of Florida; Joachim Weickert, Saarland University; Chris Williams, University of Edinburgh; Yasushi YagiOsaka UniversityMing-Hsuan YangUniversity of California at Merced; Josiane Zerubia, INRIA; Zhengyou Zhang, Microsoft Corporation; Song-Chun Zhu, UCLA; Andrew Zisserman, University of Oxford; Steven W. Zucker, Yale University

 

Articles

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  • Rank 9 of 114 in subject category Computer Science, Artificial Intelligence
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    2012 Impact Factor
  • 3.623
  • Aims and Scope

    Aims and Scope

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    The International Journal of Computer Vision (IJCV) provides a forum for the dissemination of new research results in the rapidly growing field of computer vision. Now publishing 15 issues a year, International Journal of Computer Vision presents high-quality, original contributions to the science and engineering of this rapidly growing field.

    Regular articles (up to 25 journal pages) present major technical advances of broad general interest.
    Short articles (up to 10 pages) provide a fast publication path for novel research results.
    Survey articles (up to 30 pages) offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics.
    Book reviews, position papers, and editorials by leading scientific figures will from time to time complement the technical content of the journal.
    Additional, on-line material such as still images and video sequences, data sets, and software is encouraged.


    Papers should cover:

    Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors.
    Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, medicine, human-machine interaction, surveillance.
    Connections with human perception: computational and architectural aspects of human vision.


    EDITORIAL POLICIES:

    There are no page charges in IJCV.
    Papers are published on line in advance of print publication.
    Responses to position papers are welcome.
    Editorials, position papers, and their responses will be available online free of charge.
    IJCV has a liberal copyright policy.


    Academic and industrial researchers in computer vision, robotics, and artificial intelligence, as well as psychologists and neuroscientists interested in the connection between computer and human vision, will find IJCV to be the essential forum for important results in the field.
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  • Open Choice - Your Way to Open Access
  • Instructions for Authors

    Instructions for Authors

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  • CFP: Vision in Archaeology (pdf, 79 kB)
  • Author Academy: Training for Authors
  • CFP: Big Visual Data (pdf, 241 kB)
  • Copyright information

    Copyright information

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    It is the policy of Springer to own the copyright of all contributions it publishes. To comply with U.S. Copyright Law, authors are required to sign a copyright transfer form before publication. This form returns to authors and their employers full rights to reuse their material for their own purposes. Authors must submit a signed copy of this form with their manuscript.

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