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Selective Visual Attention - Computational Models and Applications (Hardcover)
Loot Price: R3,340
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Selective Visual Attention - Computational Models and Applications (Hardcover)
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Visual attention is a relatively new area of study combining a
number of disciplines: artificial neural networks, artificial
intelligence, vision science and psychology. The aim is to build
computational models similar to human vision in order to solve
tough problems for many potential applications including object
recognition, unmanned vehicle navigation, and image and video
coding and processing. In this book, the authors provide an up to
date and highly applied introduction to the topic of visual
attention, aiding researchers in creating powerful computer vision
systems. Areas covered include the significance of vision research,
psychology and computer vision, existing computational visual
attention models, and the authors' contributions on visual
attention models, and applications in various image and video
processing tasks. This book is geared for graduates students and
researchers in neural networks, image processing, machine learning,
computer vision, and other areas of biologically inspired model
building and applications. The book can also be used by practicing
engineers looking for techniques involving the application of image
coding, video processing, machine vision and brain-like robots to
real-world systems. Other students and researchers with
interdisciplinary interests will also find this book appealing. *
Provides a key knowledge boost to developers of image processing
applications * Is unique in emphasizing the practical utility of
attention mechanisms * Includes a number of real-world examples
that readers can implement in their own work: * robot navigation
and object selection * image and video quality assessment * image
and video coding * Provides codes for users to apply in practical
attentional models and mechanisms
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