Visual saliency computation [electronic resource] : a machine learning perspective / Jia Li, Wen Gao.

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Visual saliency computation [electronic resource] : a machine learning perspective / Jia Li, Wen Gao.

9783319056425 (electronic book)
3319056425 (electronic book)
9783319056418

Cham : Springer International Publishing Switzerland, [2014]

English

1 online resource (xii, 240 pages) : illustrations.

10.1007/978-3-319-05642-5 doi

Q325.5 .L55 2014eb

006.31

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.

Includes bibliographical references and index.

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Online resource; title from digital title page (viewed May 23, 2014).

Lecture notes in computer science ; 8408.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.

Print version: 9783319056418

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