Fusion in Computer Vision: Understanding Complex Visual Content

Bogdan Ionescu (Curatore)

Jenny Benois-Pineau (Curatore)

Springer International Publishing AG, 2014

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.

• Curatore: Bogdan Ionescu, Jenny Benois-Pineau
• Editore: Springer International Publishing AG
• Collana: Advances in Computer Vision and Pattern Recognition
• Anno: 2014
• Rilegatura: Hardback
• Pagine: 272 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783319056951

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