ENGLISH

Visual Saliency Computation: A Machine Learning Perspective

By Jia Li , Wen Gao (auth.)

Book information

Publisher
Springer International Publishing
Year
2014
ISBN
978-3-319-05641-8, 978-3-319-05642-5
DOI
10.1007/978-3-319-05642-5
Language
english
Format
PDF
Filesize
33 MB (34177598 bytes)
Series
Lecture Notes in Computer Science 8408 Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition
1
Pages
240\245
Time added
2014-06-12 06:00:00
Image Processing and Computer Vision; Artificial I

Description

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.

Similar books