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Fusion in Computer Vision

Understanding Complex Visual Content

Produktform: Buch / Einband - fest (Hardcover)

This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of international benchmarks that model realistic use cases. Features: examines late fusion approaches for concept recognition in images and videos; describes the interpretation of visual content by incorporating models of the human visual system with content understanding methods; investigates the fusion of multi-modal features of different semantic levels, as well as results of semantic concept detections, for example-based event recognition in video; proposes rotation-based ensemble classifiers for high-dimensional data, which encourage both individual accuracy and diversity within the ensemble; reviews application-focused strategies of fusion in video surveillance, biomedical information retrieval, and content detection in movies; discusses the modeling of mechanisms of human interpretation of complex visual content.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-319-05695-1 / 978-3319056951 / 9783319056951

Verlag: Springer International Publishing

Erscheinungsdatum: 10.04.2014

Seiten: 272

Auflage: 1

Herausgegeben von Jenny Benois-Pineau, Bogdan Ionescu, Tomas Piatrik, Georges Quénot

53,49 € inkl. MwSt.
kostenloser Versand

lieferbar - Lieferzeit 10-15 Werktage

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