Visual Saliency Computation

A Machine Learning Perspective

Jia Li, Wen Gao (Herausgeber)

Buch | Softcover
XII, 240 Seiten
2014 | 2014
Springer International Publishing (Verlag)
978-3-319-05641-8 (ISBN)

Lese- und Medienproben

Visual Saliency Computation -
53,49 inkl. MwSt
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.

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.

Erscheint lt. Verlag 15.5.2014
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo XII, 240 p. 100 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 391 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte 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
ISBN-10 3-319-05641-7 / 3319056417
ISBN-13 978-3-319-05641-8 / 9783319056418
Zustand Neuware
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