Fusion in Computer Vision
Understanding Complex Visual Content
1st Edition
Published on 25. March 2014
XIV, 272 pages
978-3-319-05696-8 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIV, 272 p. 74 illus., 65 illus. in color.
File size
10,01 MB
ISBN-13
978-3-319-05696-8 (9783319056968)
DOI
10.1007/978-3-319-05696-8
Schweitzer Classification
Other editions
Additional editions
Bogdan Ionescu | Jenny Benois-Pineau | Tomas Piatrik
Fusion in Computer Vision
Understanding Complex Visual Content
Book
04/2014
Springer
€53.49
Shipment within 10-15 days
Persons
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.
Content
A Selective Weighted Late Fusion for Visual Concept Recognition.- Bag-of-Words Image Representation: Key Ideas and Further Insight.- Hierarchical Late Fusion for Concept Detection in Videos.- Fusion of Multiple Visual Cues for Object Recognition in Video.- Evaluating Multimedia Features and Fusion for Example-Based Event Detection.- Rotation-Based Ensemble Classifiers for High Dimensional Data.- Multimodal Fusion in Surveillance Applications.- Multimodal Violence Detection in Hollywood Movies: State-of-the-Art and Benchmarking.- Fusion Techniques in Biomedical Information Retrieval.- Using Crowdsourcing to Capture Complexity in Human Interpretations of Multimedia Content.
