: Bogdan Ionescu, Jenny Benois-Pineau, Tomas Piatrik, Georges Quénot
: Bogdan Ionescu, Jenny Benois-Pineau, Tomas Piatrik, Georges Quénot
: Fusion in Computer Vision Understanding Complex Visual Content
: Springer-Verlag
: 9783319056968
: Advances in Computer Vision and Pattern Recognition
: 1
: CHF 48.30
:
: Anwendungs-Software
: English
: 272
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF
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.

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 Groupat 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.