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Wiley Selective Visual Attention: Computational Models and Apps

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Description

Selective Visual Attention: Computational Models and Applications provides a comprehensive look into a growing field that merges artificial neural networks, artificial intelligence, vision science, and psychology. This Wiley-IEEE Press publication serves as an applied introduction to the study of visual attention, focusing on how computational models can replicate human vision to solve complex technical problems. Researchers can use the insights in this book to develop more effective computer vision systems. The content addresses practical applications that are becoming essential in modern technology, such as object recognition, unmanned vehicle navigation, and advanced image and video coding. By bridging the gap between psychological theory and engineering practice, this book offers the necessary foundation for building smarter, more responsive visual processing systems.

Key Features

Explores the intersection of artificial intelligence, neural networks, vision science, and psychology to understand visual attention.

Provides an applied introduction designed to help researchers build more powerful and effective computer vision systems.

Covers practical applications including object recognition and the navigation of unmanned vehicles.

Discusses methods for improving image and video coding and processing through computational modeling.

Offers up to date research and models that mimic human vision to solve complex engineering problems.

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