Weisi Lin's Books

Selective Visual Attention

Computational Models and Applications

By: Liming Zhang,Weisi Lin

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Selective Visual Attention

Computational Models and Applications

By: Liming Zhang,Weisi Lin

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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Page Count

344

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118060059

ISBN 13

9781118060056

Visual Quality Assessment by Machine Learning

By: Long Xu,Weisi Lin,C.-C. Jay Kuo

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Visual Quality Assessment by Machine Learning

By: Long Xu,Weisi Lin,C.-C. Jay Kuo

The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML techniques for the purpose. Hence, firstly, it is particularly helpful to the beginner-readers (including research students) to enter into VQA field in general and LB-VQA one in particular. Secondly, new development in VQA and LB-VQA particularly are detailed in this book, which will give peer researchers and engineers new insights in VQA.

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Page Count

142

Publisher

Springer

Published Date

ISBN 10

9812874682

ISBN 13

9789812874689

Visual Quality Assessment by Machine Learning

By: Long Xu,Weisi Lin,C.-C. Jay Kuo

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Visual Quality Assessment by Machine Learning

By: Long Xu,Weisi Lin,C.-C. Jay Kuo

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

142

Publisher

Springer

Published Date

ISBN 10

9812874682

ISBN 13

9789812874689

Selective Visual Attention

Computational Models and Applications

By: Liming Zhang,Weisi Lin

Write a review Read reviews Take a Quiz Solve Book Puzzle

Selective Visual Attention

Computational Models and Applications

By: Liming Zhang,Weisi Lin

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

344

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118060059

ISBN 13

9781118060056

Book's by Weisi Lin

Selective Visual Attention

Selective Visual Attention

Visual Quality Assessment by Machine Learning

Visual Quality Assessment by Machine Learning

Visual Quality Assessment by Machine Learning

Visual Quality Assessment by Machine Learning

Selective Visual Attention

Selective Visual Attention

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