Overview
- Recent research in Detection and Identification of Rare Audiovisual Cues
- Scientific outcome of the European project DIRAC (Detection and Identification of Rare Audio-visual Cues)
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 384)
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Table of contents (14 chapters)
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Front Matter
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The DIRAC Project
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Front Matter
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The Detection of Incongruent Events, Project Survey and Algorithms
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Front Matter
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Alternative Frameworks to Detect Meaningful Novel Events
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Front Matter
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Dealing with Meaningful Novel Events, What to Do after Detection
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Front Matter
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How Biological Systems Deal with Novel and Incongruent Events
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Front Matter
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Keywords
About this book
Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses.
The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts.
Editors and Affiliations
Bibliographic Information
Book Title: Detection and Identification of Rare Audio-visual Cues
Editors: Daphna Weinshall, Jörn Anemüller, Luc Gool
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-24034-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-24033-1Published: 16 October 2011
Softcover ISBN: 978-3-642-26972-1Published: 30 November 2013
eBook ISBN: 978-3-642-24034-8Published: 23 November 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 192
Topics: Computational Intelligence, Artificial Intelligence, Multimedia Information Systems