COMPUTER VISION AND IMAGE UNDERSTANDING

     SPECIAL ISSUE ON
     COMPUTER VISION APPLICATIONS FOR NETWORK-CENTRIC COMPUTING

     Publication date August 1998.
     Paper submission date August 1, 1997.

     Large amounts of data are literally at our fingertips.  These data are
     heterogeneous in nature and distributed.  That is, the data consist of
     text, image, audio, video, graphics, and raw data.  Much of these data
     reside in networks of distributed computers and servers.

     As the last two decades have been marked by tremendous developments in
     database and network technology, we believe that the next two decades
     will bring us equally pathbreaking developments in digital library
     technology.  Traditional databases are rather structured and provide
     limited means of retrieving data through parametric searches.  Digital
     libraries, on the other hand, are heterogeneous, distributed networked
     databases along with intelligent means for finding/interpreting the
     data and perhaps utilizing distributed computing.  Digital libraries
     are an important enabling technology for the next trend in computing
     -- Network-Centric Computing (NCC).

     Many NCC applications are multimedia, involving visual data that make
     huge demands on compute power, storage, and bandwidth.  These are
     becoming cheaper and more readily available, yet the rate at which the
     amount of data is increasing is growing faster.  Therefore intelligent
     data processing and management remain important research issues where
     the field of computer vision and pattern recognition can make many
     contributions.

     We solicit papers on the following topics:
     o   visual data mining
     o   image/video search (content/structure)
     o   content-based/query-based compression
     o   CAD compression
     o   viewing 3-D, telepresence
     o   image/video security, authentication and copyright
     o   automatic categorization of image/video types (e.g., internet
         search, intelligent search agent); visual sieve
     o   video visualization
     o   automatic generation of visual summary (for transmission over a
         low-bandwidth network; fast browsing of queried results)
     o   integration/fusion of other media, e.g., speech, audio, text, etc.
     o   intelligent user interfaces

     Send four copies of your manuscript (marked "NCC Special Issue") by
     August 1, 1997 to:
         Computer Vision and Image Understanding
         Editorial Office
         525 B Street, Suite 1900
         San Diego,  CA 92101-4495

                                GUEST EDITORS

                       Ruud M. Bolle  and  Boon-Lock Yeo
                   bolle@watson.ibm.com  yeo@watson.ibm.com
                      IBM Thomas J. Watson Research Center
                                   PO Box 704
                           Yorktown Heights, NY 10598

     More information can be found at web site:
http://www.ee.princeton.edu/~yeo/cviu.html