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Opis

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.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Databases Data mining

• Pełny tytuł: Fusion in Computer Vision
• Podtytuł: Understanding Complex Visual Content
• Autor: Bogdan Ionescu, Jenny Benois-Pineau, Tomas Piatrik, Georges Quénot
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 272
• EAN: 9783319347745
• ISBN: 3319347748
• ID: 14167031
• Wydawca: Springer International Publishing AG
• Waga: 4918 g
• Wymiary: 235 × 155 × 12 mm
• Data wydania: 03. September 2016

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