Image Processing, Computer Vision, Pattern Recognition, and Graphics

Visual Saliency Computation

A Machine Learning Perspective

Editors: Li, Jia, Gao, Wen (Eds.)

  • Written to be easily understood by a wide range of readers, from specialists in the field of visual saliency computation to general readers interested in computer science and cognitive psychology
  • Offers a foreword by Zhengyou Zhang, included in the front matter and is freely available for perusal on SpringerLink
  • Introduces concepts step-by-step, starting from visual saliency and progressively exploring the problems in modeling saliency, extracting salient objects, mining prior knowledge, evaluating performance, and using saliency in real-world applications
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eBook $59.99
price for USA (gross)
  • ISBN 978-3-319-05642-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $79.99
price for USA
  • ISBN 978-3-319-05641-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in this book from an innovative perspective that combines both neurobiology and machine learning. The book is also well-structured to address a wide range of readers, from specialists in the field to general readers interested in computer science and cognitive psychology. With this book, a reader can start from the very basic question of "what is visual saliency?" and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications. It is highly expected that this book will spark a great interest of research in the related communities in years to come.

Table of contents (9 chapters)

  • Introduction

    Li, Jia (et al.)

    Pages 1-21

  • Benchmark and Evaluation Metrics

    Li, Jia (et al.)

    Pages 23-44

  • Location-Based Visual Saliency Computation

    Li, Jia (et al.)

    Pages 45-71

  • Object-Based Visual Saliency Computation

    Li, Jia (et al.)

    Pages 73-100

  • Learning-Based Visual Saliency Computation

    Li, Jia (et al.)

    Pages 101-149

Buy this book

eBook $59.99
price for USA (gross)
  • ISBN 978-3-319-05642-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $79.99
price for USA
  • ISBN 978-3-319-05641-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Visual Saliency Computation
Book Subtitle
A Machine Learning Perspective
Editors
  • Jia Li
  • Wen Gao
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
8408
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-05642-5
DOI
10.1007/978-3-319-05642-5
Softcover ISBN
978-3-319-05641-8
Edition Number
1
Number of Pages
XII, 240
Number of Illustrations and Tables
100 b/w illustrations
Topics