| Title:
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VISUAL SALIENCY COMPUTATION
A MACHINE LEARNING PERSPECTIVE |
| By: |
Jia Li (Editor), Wen Gao (Editor) |
| Format: |
Paperback |
| List price:
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£54.99 |
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| ISBN 10: |
3319056417 |
| ISBN 13: |
9783319056418 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
12 April, 2014 |
| Edition: |
2014 ed. |
| Series: |
Lecture Notes in Computer Science / Image Processing, Computer Vision, 8408 |
| Pages: |
252 |
| Description: |
Visual Saliency Computation |
| Synopsis: |
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. |
| Illustrations: |
100 black & white illustrations, biography |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |