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Attention has represented a core scienti?c topic in the design of
AI-enabled systems in the last few decades. Today, in the ongoing
debate, design, and c-
putationalmodelingofarti?cialcognitivesystems,
attentionhasgainedacentral position as a focus of research. For
instance, attentional methods are considered in investigating the
interfacing of sensory and cognitive information processing, for
the organization of behaviors, and for the understanding of
individual and social cognition in infant development.
Whilevisualcognitionplaysacentralroleinhumanperception, ?ndingsfrom
neuroscience and experimental psychology have provided strong
evidence about the perception-action nature of cognition. The
embodied nature of senso- motor intelligence requires a continuous
and focused interplay between the c-
trolofmotoractivitiesandtheinterpretationoffeedbackfromperceptualmod-
ities. Decision making about the selection of information from the
incoming sensory stream - in tune with contextual processing on a
current task and an agent's global objectives - becomes a further
challenging issue in attentional control. Attention must operate at
interfaces between a bottom-up-driven world
interpretationandtop-down-driveninformationselection,
thusactingatthecore of arti?cial cognitive systems. These insights
have already induced changes in AI-related disciplines, such as the
design of behavior-based robot control and the computational
modeling of animats. Today, the development of enabling
technologiessuch as autonomous robotic systems,
miniaturizedmobile-evenwearable-sensors, andambientintelligence
systems involves the real-time analysis of enormous quantities of
data. These data have to be processed in an intelligent way to
provide "on time delivery" of the required relevant information.
Knowledge has to be applied about what needs to be attended to, and
when, and what to do in a meaningful sequence, in correspondence
with visual feedback.
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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Attention and Performance in Computational Vision - Second International Workshop, WAPCV 2004, Prague, Czech Republic, May 15, 2004, Revised Selected Papers (Paperback, 2005 ed.)
Lucas Paletta, John K. Tsotsos, Erich Rome, Glyn Humphreys
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R1,533
Discovery Miles 15 330
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Ships in 10 - 15 working days
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Inrecentresearchoncomputervisionsystems,
attentionhasbeenplayingacrucialrolein
mediatingbottom-upandtop-downpathsofinformationprocessing.
Inappliedresearch, the development of enabling technologies such as
miniaturized mobile sensors, video surveillance systems, and
ambient intelligence systems involves the real-time analysis of
enormous quantities of data. Knowledge has to be applied about what
needs to be attendedto, andwhen, andwhattodoinameaningfulsequence,
incorrespondencewith visual feedback. Methods on attention and
control are mandatory to render computer vision systems more
robust. The 2nd International Workshop on Attention and Performance
in Computational Vision (WAPCV 2004) was held in the Czech
Technical University of Prague, Czech Republic, as an associated
workshop of the 8th European Conference on Computer - sion (ECCV
2004). The goal of this workshop was to provide an
interdisciplinary forum
tocommunicatecomputationalmodelsofvisualattentionfromvariousviewpoints,
such as from computer vision, psychology, robotics and
neuroscience. The motivation for - terdisciplinarity was
communication and inspiration beyond the individual community, to
focus discussion on computational modelling, to outline relevant
objectives for p- formance comparison, to explore promising
application domains, and to discuss these with reference to all
related aspects of cognitive vision. The workshop was held as a
single-day, single-track event, consisting of high-quality podium
and poster presen- tions. Invited talks were given by John K.
Tsotsos about attention and feature binding in biologically
motivated computer vision and by Gustavo Deco about the context of
attention, memory and reward from the perspective of computational
neuroscience. The interdisciplinary program committee was composed
of 21 internationally r- ognized researc
A key property of neural processing in higher mammals is the
ability to focus resources by selectively directing attention to
relevant perceptions, thoughts or actions. Research into attention
has grown rapidly over the past two decades, as new techniques have
become available to study higher brain function in humans,
non-human primates, and other mammals. Neurobiology of Attention is
the first encyclopedic volume to summarize the latest developments
in attention research.
An authoritative collection of over 100 chapters organized into
thematic sections provides both broad coverage and access to
focused, up-to-date research findings. This book presents a
state-of-the-art multidisciplinary perspective on psychological,
physiological and computational approaches to understanding the
neurobiology of attention. Ideal for students, as a reference
handbook or for rapid browsing, the book has a wide appeal to
anybody intereseted in attention research.
* Contains numerous quick-reference articles covering the breadth
of investigation into the subject of attention
* Provides extensive introductory commentary to orient and guide
the reader
* Includes the most recent research results in this field of study
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