Main Visual saliency computation: a machine learning perspective
Visual saliency computation: a machine learning perspective cover

Visual saliency computation: a machine learning perspective

, ,
4.0 / 5.0
0 comments
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.
Request Code : ZLIBIO2588395
Categories:
Year:
2014
Publisher:
Springer International Publishing Switzerland
Language:
English
Pages:
240 pages : illustrations ; 24 cm
ISBN 10:
3319056417
ISBN 13:
9783319056425
ISBN:
9783319056418,9783319056425,3319056417
Series:
Lecture notes in computer science 8408
This book is not available due to the complaint of the copyright holder.

Comments of this book

There are no comments yet.