Fusion in Computer Vision by Bogdan Ionescu
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.-
NETLAB
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Multimodal Collaborative Perception for Unmanned Systems
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Advances in Photometric 3D-Reconstruction
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Active Lighting and Its Application for Computer Vision
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
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Selfie Biometrics
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Handbook of Vascular Biometrics
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Natural User Interfaces in Medical Image Analysis
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Advanced Algorithmic Approaches to Medical Image Segmentation
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Markov Models for Pattern Recognition
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Statistical Learning and Pattern Analysis for Image and Video Processing
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An Introduction to Object Recognition
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Human Recognition at a Distance in Video
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Nonlinear Eigenproblems in Image Processing and Computer Vision
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Autonomous Intelligent Vehicles
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Similarity-Based Pattern Analysis and Recognition
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Hyperspectral Image Analysis
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Guide to OCR for Indic Scripts
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Automatic Digital Document Processing and Management
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Multispectral Satellite Image Understanding
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Guide to Three Dimensional Structure and Motion Factorization
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Machine Learning for Vision-Based Motion Analysis
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Handbook of Remote Biometrics
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Compression Schemes for Mining Large Datasets
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Shape Perception in Human and Computer Vision
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Imaging Spectroscopy for Scene Analysis
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Visual Question Answering
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Tensors in Image Processing and Computer Vision
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Handbook of Biometric Anti-Spoofing
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Computer Vision Beyond the Visible Spectrum
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Image Registration
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Statistical and Neural Classifiers
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Contactless 3D Fingerprint Identification
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Hierarchical Perceptual Grouping for Object Recognition
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Adaptive Biometric Systems
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.
| SKU | Unavailable |
| ISBN 13 | 9783319056951 |
| ISBN 10 | 3319056956 |
| Title | Fusion in Computer Vision |
| Author | Bogdan Ionescu |
| Series | Advances In Computer Vision And Pattern Recognition |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2014-04-10 |
| Number of pages | 272 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |