Visual saliency computation [electronic resource] : a machine learning perspective / Jia Li, Wen Gao.
Li, Jia, author.; Gao, Wen, 1956- author.
2014
Q325.5 .L55 2014eb
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Visual saliency computation [electronic resource] : a machine learning perspective / Jia Li, Wen Gao.
Author Li, Jia, author.
ISBN 9783319056425 (electronic book)
3319056425 (electronic book)
9783319056418
DOI https://doi.org/10.1007/978-3-319-05642-5
Published Cham : Springer International Publishing Switzerland, [2014]
Language English
Description 1 online resource (xii, 240 pages) : illustrations.
Item Number 10.1007/978-3-319-05642-5 doi
Call Number Q325.5 .L55 2014eb
Dewey Decimal Classification 006.31
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from digital title page (viewed May 23, 2014).
Added Author Gao, Wen, 1956- author.
Series Lecture notes in computer science ; 8408.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Available in Other Form Print version: 9783319056418
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Benchmark and evaluation metrics
Location-based visual saliency computation
Object-based visual saliency computation
Learning-based visual saliency computation
Mining cluster-specific knowledge for saliency ranking
Removing label ambiguity in training saliency model
Saliency-based applications
Conclusions and future work.

Browse Subjects

Show more subjects...

Statistics

from
to
Export