Visual Saliency Computation / A Machine Learning Perspective / Wen Gao (u. a.) / Taschenbuch / Image Processing, Computer Vision, Pattern Recognition, and Graphics / Paperback / Englisch / 2014 - edizione con copertina flessibile
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… Altro …
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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 - edizione con copertina flessibile
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… Altro …
booklooker.de |
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… Altro …
Springer.com Nr. 978-3-319-05641-8. Costi di spedizione:Worldwide free shipping, , DE. (EUR 0.00) Details... |
2014, ISBN: 9783319056418
2014 Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24691926/12 Versandkostenfreie Lieferung visual saliency computation,human vision,salient objects,performance e… Altro …
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2014, ISBN: 9783319056418
[PU: Springer International Publishing], Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24691926/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 201… Altro …
booklooker.de |
Visual Saliency Computation / A Machine Learning Perspective / Wen Gao (u. a.) / Taschenbuch / Image Processing, Computer Vision, Pattern Recognition, and Graphics / Paperback / Englisch / 2014 - edizione con copertina flessibile
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… Altro …
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 - edizione con copertina flessibile2014, ISBN: 9783319056418
[ED: Taschenbuch], [PU: Springer International Publishing], This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdiscip… Altro …
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… Altro …
2014, ISBN: 9783319056418
2014 Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24691926/12 Versandkostenfreie Lieferung visual saliency computation,human vision,salient objects,performance e… Altro …
2014, ISBN: 9783319056418
[PU: Springer International Publishing], Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24691926/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 201… Altro …
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Informazioni dettagliate del libro - Visual Saliency Computation
EAN (ISBN-13): 9783319056418
ISBN (ISBN-10): 3319056417
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2014
Editore: Springer International Publishing
Libro nella banca dati dal 2014-04-02T05:25:16+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-01-16T23:59:05+01:00 (Zurich)
ISBN/EAN: 9783319056418
ISBN - Stili di scrittura alternativi:
3-319-05641-7, 978-3-319-05641-8
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : wen, gao, gào
Titolo del libro: learning processing, inglés visual, computer image, lecture notes computer science, computer perspective, pattern recognition and machine learning, computer vision graphics, jia, learning englisch, wen
Dati dell'editore
Autore: Jia Li; Wen Gao
Titolo: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Visual Saliency Computation - A Machine Learning Perspective
Editore: Springer; Springer International Publishing
240 Pagine
Anno di pubblicazione: 2014-05-15
Cham; CH
Stampato / Fatto in
Lingua: Inglese
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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