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Visual Saliency Computation : A Machine Learning Perspective, Paperback / softback Book

Visual Saliency Computation : A Machine Learning Perspective Paperback / softback

Edited by Jia Li, Wen Gao

Part of the Lecture Notes in Computer Science series


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.


  • Format: Paperback / softback
  • Pages: 240 pages, 100 Illustrations, black and white; XII, 240 p. 100 illus.
  • Publisher: Springer International Publishing AG
  • Publication Date:
  • Category: Data mining
  • ISBN: 9783319056418



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