Authors:
- 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
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8408)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Keywords
Authors and Affiliations
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Peking University, Beijing, China
Jia Li, Wen Gao
Bibliographic Information
Book Title: Visual Saliency Computation
Book Subtitle: A Machine Learning Perspective
Authors: Jia Li, Wen Gao
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-05642-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-05641-8Published: 15 May 2014
eBook ISBN: 978-3-319-05642-5Published: 12 April 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 240
Number of Illustrations: 100 b/w illustrations
Topics: Image Processing and Computer Vision, Artificial Intelligence, Data Mining and Knowledge Discovery