Liming Zhang & Weisi Lin 
Selective Visual Attention [PDF ebook] 
Computational Models and Applications

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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