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In the past few years, with the advances in microelectronics and
digital te- nology, cameras became a widespread media. This, along
with the enduring increase in computing power boosted the
development of computer vision s- tems. The International
Conference on Computer Vision Systems (ICVS) covers the advances in
this area. This is to say that ICVS is not and should not be yet
another computer vision conference. The ?eld of computer vision is
fully covered by many well-established and famous conferences and
ICVS di?ers from these by covering the systems point of view. ICVS
2008 was the 6th International Conference dedicated to advanced
research on computer vision systems. The conference, continuing a
series of successful events in Las Palmas, Vancouver, Graz, New
York and Bielefeld, in 2008 was held on Santorini. In all, 128
papers entered the review process and each was reviewed by three
independent reviewers using the double-blind review method. Of
these, 53 - pers were accepted (23 as oral and 30 as poster
presentation). There were also two invited talks by P. Anandan and
by Heinrich H. Bultho ] ?. The presented papers cover all aspects
of computer vision systems, namely: cognitive vision, monitor and
surveillance, computer vision architectures, calibration and reg-
tration, object recognition and tracking, learning, human-machine
interaction and cross-modal systems."
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Computer Vision Systems - Third International Conference, ICVS 2003, Graz, Austria, April 1-3, 2003, Proceedings (Paperback, 2003 ed.)
James Crowley, Justus Piater, Markus Vincze, Lucas Paletta
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R2,886
Discovery Miles 28 860
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Ships in 18 - 22 working days
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This book constitutes the refereed proceedings of the Third International Conference on Computer Vision Systems, ICVS 2003, held in Graz, Austria, in April 2003. The 51 revised full papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on cognitive vision, philosophical issues in cognitive vision, cognitive vision and applications, computer vision architectures, performance evaluation, implementation methods, architecture and classical computer vision, and video annotation.
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Computer Vision Systems - 13th International Conference, ICVS 2021, Virtual Event, September 22-24, 2021, Proceedings (Paperback, 1st ed. 2021)
Markus Vincze, Timothy Patten, Henrik I. Christensen, Lazaros Nalpantidis, Ming Liu
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R1,443
Discovery Miles 14 430
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Ships in 9 - 17 working days
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This book constitutes the refereed proceedings of the 13th
International Conference on Computer Vision Systems, ICVS 2021,
held in September 2021. Due to COVID-19 pandemic the conference was
held virtually. The 20 papers presented were carefully reviewed and
selected from 29 submissions. cover a broad spectrum of issues
falling under the wider scope of computer vision in real-world
applications, including among others, vision systems for robotics,
autonomous vehicles, agriculture and medicine. In this volume, the
papers are organized into the sections: attention systems;
classification and detection; semantic interpretation; video and
motion analysis; computer vision systems in agriculture.
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Computer Vision Systems - 12th International Conference, ICVS 2019, Thessaloniki, Greece, September 23-25, 2019, Proceedings (Paperback, 1st ed. 2019)
Dimitrios Tzovaras, Dimitrios Giakoumis, Markus Vincze, Antonis Argyros
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R1,549
Discovery Miles 15 490
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Ships in 18 - 22 working days
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This book constitutes the refereed proceedings of the 12th
International Conference on Computer Vision Systems, ICVS 2019,
held in Thessaloniki, Greece, in September 2019.The 72 papers
presented were carefully reviewed and selected from 114
submissions. The papers are organized in the following topical
sections; hardware accelerated and real time vision systems;
robotic vision; vision systems applications; high-level and
learning vision systems; cognitive vision systems; movement
analytics and gesture recognition for human-machine collaboration
in industry; cognitive and computer vision assisted systems for
energy awareness and behavior analysis; and vision-enabled UAV and
counter UAV technologies for surveillance and security of critical
infrastructures.
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Computer Vision Systems - 11th International Conference, ICVS 2017, Shenzhen, China, July 10-13, 2017, Revised Selected Papers (Paperback, 1st ed. 2017)
Ming Liu, Haoyao Chen, Markus Vincze
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R1,509
Discovery Miles 15 090
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Ships in 18 - 22 working days
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This book constitutes the refereed proceedings of the 11th
International Conference on Computer Vision Systems, ICVS 2017,
held in Shenzhen, China, in July 2017. The 61 papers presented were
carefully reviewed and selected from 92 submissions. The papers are
organized in topical sections on visual control, visual navigation,
visual inspection, image processing, human robot interaction,
stereo system, image retrieval, visual detection, visual
recognition, system design, and 3D vision / fusion.
Weareverypleasedtopresenttheproceedingsofthe4thInternationalCognitive
Vision Workshop, held as part of the 6th InternationalConference on
Computer Vision Systems on Santorini, Greeceduring
May12-15,2008.The aim of ICVW 2008 was to document the progress of
the relatively young ?eld of cognitive computer vision, bringing
together researchers working and interested in this ?eld and giving
them a platform to discuss the results of the di?erent European
cognitive vision projects as well as international projects in this
area. Original research papers were solicited in all aspects of
cognitive vision, targeting the following areas in particular: -
Memory: The coupling between visual perception, tasks, knowledge
and the
visualsystemrequiresmemory.Issuesthatareofspecialimportanceforin-
grating memory into vision systems include: how to manage
representations with limited resources;modelfor
attention;integrationofinformationacross representations and time.
- Learning and Adaptation: A system whose goal is that of
interacting with the real world must be capable of learning from
experience and adapting to unexpected changes. Also, there is a
need for integration of multiple - sual features to enable
generation of stable hypotheses, and for methods for combination of
cues in the presence of uncertainty. - Categorization: Research has
in particular focused on recall of speci?c - ject instances, events
and actions. Whereas recently some progress has been achieved in
systems that allow limited recognition of object classes, events
and scenes across visual appearance, new methods are needed to
enable abstractions and e?ective categorization across variations
in color, surface markings, geometry, temporal scenes, context and
task
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