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Graphics Recognition. Recent Advances and Perspectives - 5th International Workshop, GREC 2003, Barcelona, Spain, July 30-31, 2003, Revides Selected Papers (Paperback, 2004 ed.)
Loot Price: R1,626
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Graphics Recognition. Recent Advances and Perspectives - 5th International Workshop, GREC 2003, Barcelona, Spain, July 30-31, 2003, Revides Selected Papers (Paperback, 2004 ed.)
Series: Lecture Notes in Computer Science, 3088
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Total price: R1,646
Discovery Miles: 16 460
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1 Thisbookcontainsrefereedandimprovedpaperspresentedatthe5thIAPR -
ternational Workshop on Graphics Recognition (GREC 2003). GREC 2003
was held in the Computer Vision Center, in Barcelona (Spain) during
July 30-31, 2003. TheGRECworkshopisthemainactivityoftheIAPR-TC10,
theTechnical 2 Committee on Graphics Recognition . Edited volumes
from the previous wo- shops in the series are available as Lecture
Notes in Computer Science: LNCS Volume 1072 (GREC 1995 at Penn
State University, USA), LNCS Volume 1389 (GREC 1997 in Nancy,
France), LNCS Volume 1941 (GREC 1999 in Jaipur, India), and LNCS
Volume 2390 (GREC 2001 in Kingston, Canada). Graphics recognition
is a particular ?eld in the domain of document ana- sis that
combines pattern recognition and image processing techniques for
the analysis of any kind of graphical information in documents,
either from paper or electronic formats. Topics of interest for the
graphics recognition community are: vectorization; symbol
recognition; analysis of graphic documents with - agrammatic
notation like electrical diagrams, architectural plans, engineering
drawings, musical scores, maps, etc.; graphics-based information
retrieval; p- formance evaluation in graphics recognition; and
systems for graphics recog- tion. Inadditiontotheclassicobjectives,
inrecentyearsgraphicsrecognitionhas faced up to new and promising
perspectives, some of them in conjunction with other, a?ne
scienti?c communities. Examples of that are sketchy interfaces and
on-line graphics recognition in the framework of human computer
interaction, or query by graphic content for retrieval and browsing
in large-format graphic d- uments, digital libraries and Web
applications. Thus, the combination of classic challenges with new
research interests gives the graphics recognition ?eld an active
scienti?c community, with a promising future
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