Fusion in Computer Vision

Understanding Complex Visual Content

272 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Advances in Computer Vision and Pattern Recognition
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) Maschinelles Sehen, Bildverstehen
• ISBN: 9783319347745
• Sprache: Englisch
• Erscheinungsdatum: 03.09.2016
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Bogdan Ionescu, Jenny Benois-Pineau, Tomas Piatrik, Georges Quénot