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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Fusion in Computer Vision
• Subtitle: Understanding Complex Visual Content
• Author: Bogdan Ionescu, Jenny Benois-Pineau, Tomas Piatrik, Georges Quénot
• Language: English
• Binding: Hardback
• Number of pages: 272
• EAN: 9783319056951
• ISBN: 3319056956
• ID: 02530063
• Publisher: Springer International Publishing AG
• Weight: 544 g
• Dimensions: 162 × 239 × 16 mm
• Date of publishing: 26. March 2014

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