Fusion in Computer Vision

Understanding Complex Visual Content de

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Éditeur :

Springer


Collection :

Advances in Computer Vision and Pattern Recognition

Paru le : 2014-03-25

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Description
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.
Pages
272 pages
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2014-03-25
Marque
Springer
EAN papier
9783319056951
EAN EPUB
9783319056968

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
5704 Ko
Prix
52,74 €