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Images and video play a crucial role in visual information systems
and multimedia. There is an extraordinary number of applications of
such systems in entertainment, business, art, engineering, and
science. Such applications often involved large image and video
collections, and therefore, searching for images and video in large
collections is becoming an important operation. Because of the size
of such databases, efficiency is crucial. We strongly believe that
image and video retrieval need an integrated approach from fields
such as image processing, shape processing, perception, database
indexing, visualization, and querying, etc. This book contains a
selection of results that was presented at the Dagstuhl Seminar on
Content-Based Image and Video Retrieval, in December 1999. The
purpose of this seminar was to bring together people from the
various fields, in order to promote information exchange and
interaction among researchers who are interested in various aspects
of accessing the content of image and video data. The book provides
an overview of the state of the art in content-based image and
video retrieval. The topics covered by the chapters are integrated
system aspects, as well as techniques from image processing,
computer vision, multimedia, databases, graphics, signal
processing, and information theory. The book will be of interest to
researchers and professionals in the fields of multimedia, visual
information (database) systems, computer vision, and information
retrieval.
Images and video play a crucial role in visual information systems
and multimedia. There is an extraordinary number of applications of
such systems in entertainment, business, art, engineering, and
science. Such applications often involved large image and video
collections, and therefore, searching for images and video in large
collections is becoming an important operation. Because of the size
of such databases, efficiency is crucial. We strongly believe that
image and video retrieval need an integrated approach from fields
such as image processing, shape processing, perception, database
indexing, visualization, and querying, etc. This book contains a
selection of results that was presented at the Dagstuhl Seminar on
Content-Based Image and Video Retrieval, in December 1999. The
purpose of this seminar was to bring together people from the
various fields, in order to promote information exchange and
interaction among researchers who are interested in various aspects
of accessing the content of image and video data. The book provides
an overview of the state of the art in content-based image and
video retrieval. The topics covered by the chapters are integrated
system aspects, as well as techniques from image processing,
computer vision, multimedia, databases, graphics, signal
processing, and information theory. The book will be of interest to
researchers and professionals in the fields of multimedia, visual
information (database) systems, computer vision, and information
retrieval.
This two-volume set constitutes the refereed proceedings of the 5th
European Conference on Computer Vision, ECCV'98, held in Freiburg,
Germany, in June 1998.
The 42 revised full papers and 70 revised posters presented were
carefully selected from a total of 223 papers submitted. The papers
are organized in sections on multiple-view geometry, stereo vision
and calibration, geometry and invariances, structure from motion,
colour and indexing, grouping and segmentation, tracking,
condensation, matching and registration, image sequences and video,
shape and shading, motion and flow, medical imaging, appearance and
recognition, robotics and active vision, and motion segmentation.
This two-volume set constitutes the refereed proceedings of the 5th
European Conference on Computer Vision, ECCV'98, held in Freiburg,
Germany, in June 1998.
The 42 revised full papers and 70 revised posters presented were
carefully selected from a total of 223 papers submitted. The papers
are organized in sections on multiple-view geometry, stereo vision
and calibration, geometry and invariances, structure from motion,
colour and indexing, grouping and segmentation, tracking,
condensation, matching and registration, image sequences and video,
shape and shading, motion and flow, medical imaging, appearance and
recognition, robotics and active vision, and motion segmentation.
Mustererkennung heisst, ahnlich wie bei Sinneswahrnehmungen mit
Sensoren Signale aus der technischen Umwelt zu empfangen und mit
Hilfe zuvor gelernter Situationen momentane Messungen zu
interpretieren und dabei im Hinblick auf neue Eindrucke lernfahig
zu sein. Anlasslich des 11. DAGM-Symposiums wurden zu diesem
Themenkomplex nahezu 100 Arbeiten eingereicht, von denen 42
Vortrage und 38 Plakatprasentationen zur Tagung und fur dieses Buch
ausgewahlt wurden. Der Band enthalt Aufgabenstellungen, Denkweisen
und neuere Forschungsergebnisse aus den Gebieten Mustererkennung,
Bildverstehen, Bildfolgen, Wissensverarbeitung und Spracherkennung.
Data analysis and machine learning are research areas at the
intersection of computer science, artificial intelligence,
mathematics and statistics. They cover general methods and
techniques that can be applied to a vast set of applications such
as web and text mining, marketing, medical science, bioinformatics
and business intelligence. This volume contains the revised
versions of selected papers in the field of data analysis, machine
learning and applications presented during the 31st Annual
Conference of the German Classification Society (Gesellschaft fur
Klassifikation - GfKl). The conference was held at the
Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
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