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Visual Indexing and Retrieval is a wide-scope research domain which unites researchers
from image analysis and computer vision, to information management.
For nearly twenty years, this research has been extremely active world-wide. With
the advent of social networks conveying huge amount of visual information to the
user, the ever increasing capacities of broadcast transmission of content via heterogeneous
networks, popularization of hand-carried devices, the realm of possibilities
has got wide open both for industry leaders and researchers. Indeed, the always
increasing size of visual content databases has brought to the fore the need for innovative
content understanding, retrieval and classification methods. Such methods are
henceforth of paramount importance to let people the ability to exploit such huge
databases.
The book is the result of joint efforts of the French research community joined
through the GDR CNRS ISIS, the national academic network in the field. Thanks to
this network, the research results gathered and explained in this book have received
global recognition, and are gaining more and more success in technology transfer.
The authors hope that the most recent results and fruitful trends in Visual Indexing
and Retrieval presented in this book will be helpful to young and experienced researchers
willing to put the ideas forward and needing a solid understanding of the
state-of-the art to do so, as well as to industry people willing to find an adequate
algorithmic solution for their application area.
Acknowledgments: the authors acknowledge the governing board of GDR CNRS
ISIS for supporting the project of this book. |
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