Fusion in Computer Vision: Understanding Complex Visual Content (Advances in Computer Vision and Pattern Recognition)

ISBN 10: 3319347748 / ISBN 13: 9783319347745

Verlag: Springer, 2016

Beschreibung

Print on Demand pp. 288.

Bestandsnummer des Verkäufers 385652755

Bibliografische Details

• Titel: Fusion in Computer Vision: Understanding Complex Visual Content (Advances in Computer Vision and Pattern Recognition)
• Verlag: Springer
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 3319347748
• ISBN-13: 9783319347745
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Dr. Bogdan Ionescu is a lecturer and Coordinator of the Video Processing Group at the Image Processing and Analysis Laboratory, University Politehnica of Bucharest, Romania. Dr. Jenny Benois-Pineau is a full professor and Chair of the Video Analysis and Indexing research group at the University of Bordeaux, France. Dr. Tomas Piatrik is a senior researcher in the Multimedia and Vision Research Group at Queen Mary University of London, UK. Dr. Georges Quénot is a senior researcher at CNRS and leader of the Multimedia Information Modeling and Retrieval group at the Grenoble Informatics Laboratory, France.