Visual attention is a reasonably new location of study integrating a variety of disciplines: synthetic neural networks, expert system, vision science and psychology. The aim is to construct computational models similar to human vision in order to fix hard issues for many potential applications including item recognition, unmanned car navigation, and image and video coding and processing. In this book, the authors supply an approximately date and extremely used introduction to the subject of visual attention, assisting scientists in creating effective computer vision systems. Locations covered consist of the significance of vision research, psychology and computer system vision, existing computational visual attention designs, and the authors’ contributions on visual attention models, and applications in numerous image and video processing jobs. This book is geared for graduates students and scientists in neural networks, image processing, machine learning, computer vision, and other areas of biologically influenced model structure and applications. The book can also be utilized by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robotics to real-world systems. Other students and scientists with interdisciplinary interests will likewise discover this book appealing. Provides a crucial knowledge increase to designers of image processing applications Is special in highlighting the practical utility of attention systems Includes a variety of real-world examples that readers can implement in their own work: robot navigation and item choice image and video quality evaluation image and video coding Offers codes for users to use in practical attentional designs and systems
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