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Visual Saliency Computation / A Machine Learning Perspective / Wen Gao (u. a.) / Taschenbuch / Image Processing, Computer Vision, Pattern Recognition, and Graphics / Paperback / Englisch / 2014 - Gao, Wen
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Gao, Wen:

Visual Saliency Computation / A Machine Learning Perspective / Wen Gao (u. a.) / Taschenbuch / Image Processing, Computer Vision, Pattern Recognition, and Graphics / Paperback / Englisch / 2014 - Livro de bolso

2014, ISBN: 9783319056418

[ED: Taschenbuch], [PU: Springer International Publishing], This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdiscip… mais…

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Visual Saliency Computation  A Machine Learning Perspective  Wen Gao (u. a.)  Taschenbuch  Image Processing, Computer Vision, Pattern Recognition, and Graphics  Paperback  Englisch  2014 - Gao, Wen
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Gao, Wen:

Visual Saliency Computation A Machine Learning Perspective Wen Gao (u. a.) Taschenbuch Image Processing, Computer Vision, Pattern Recognition, and Graphics Paperback Englisch 2014 - Livro de bolso

2014, ISBN: 9783319056418

[ED: Taschenbuch], [PU: Springer International Publishing], This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdiscip… mais…

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Visual Saliency Computation
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ISBN: 9783319056418

This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in… mais…

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Li, Jia und Wen Gao:
Visual Saliency Computation A Machine Learning Perspective 2014 - livro usado

2014, ISBN: 9783319056418

2014 Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24691926/12 Versandkostenfreie Lieferung visual saliency computation,human vision,salient objects,performance e… mais…

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Visual Saliency Computation A Machine Learning Perspective - Li, Jia und Wen Gao
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Li, Jia und Wen Gao:
Visual Saliency Computation A Machine Learning Perspective - livro usado

2014, ISBN: 9783319056418

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Visual Saliency Computation

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.

Dados detalhados do livro - Visual Saliency Computation


EAN (ISBN-13): 9783319056418
ISBN (ISBN-10): 3319056417
Livro de capa dura
Livro de bolso
Ano de publicação: 2014
Editor/Editora: Springer International Publishing

Livro na base de dados desde 2014-04-02T00:25:16-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-01-16T19:59:05-03:00 (Sao Paulo)
Número ISBN/EAN: 9783319056418

Número ISBN - Ortografia alternativa:
3-319-05641-7, 978-3-319-05641-8
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: wen, gao, gào
Título do livro: learning processing, inglés visual, computer image, lecture notes computer science, computer perspective, pattern recognition and machine learning, computer vision graphics, jia, learning englisch, wen


Dados da editora

Autor: Jia Li; Wen Gao
Título: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Visual Saliency Computation - A Machine Learning Perspective
Editora: Springer; Springer International Publishing
240 Páginas
Ano de publicação: 2014-05-15
Cham; CH
Impresso / Feito em
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XII, 240 p. 100 illus.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; artificial intelligence; benchmarks; computer vision; human cognition; human vision; image processing; information processing; machine learning; neurobiology; performance evaluation; saliency detection; salient objects; salient region detections; video processing; visual attention; visual saliency computation; Computer Vision; Artificial Intelligence; Data Mining and Knowledge Discovery; Künstliche Intelligenz; Data Mining; Wissensbasierte Systeme, Expertensysteme; EA

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.
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

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