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Detection and Identification of Rare Audiovisual Cues

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Cover of 'Detection and Identification of Rare Audiovisual Cues'

Table of Contents

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    Book Overview
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    Chapter 1 DIRAC: Detection and Identification of Rare Audio-Visual Events
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    Chapter 2 Audio Classification and Localization for Incongruent Event Detection
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    Chapter 3 Identification of Novel Classes in Object Class Recognition
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    Chapter 4 Out-of-Vocabulary Word Detection and Beyond
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    Chapter 5 Incongruence Detection in Audio-Visual Processing
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    Chapter 6 Catalog of Basic Scenes for Rare/Incongruent Event Detection
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    Chapter 7 Trajectory-Based Abnormality Categorization for Learning Route Patterns in Surveillance
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    Chapter 8 Identifying Surprising Events in Video Using Bayesian Topic Models
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    Chapter 9 Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation
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    Chapter 10 Learning from Incongruence
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    Chapter 11 Towards a Quantitative Measure of Rareness
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    Chapter 12 Predictions and Incongruency in Object Recognition: A Cognitive Neuroscience Perspective
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    Chapter 13 Modulations of Single-Trial Interactions between the Auditory and the Visual Cortex during Prolonged Exposure to Audiovisual Stimuli with Fixed Stimulus Onset Asynchrony
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    Chapter 14 Discrimination of Locomotion Direction at Different Speeds: A Comparison between Macaque Monkeys and Algorithms
Attention for Chapter 8: Identifying Surprising Events in Video Using Bayesian Topic Models
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Citations

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28 Mendeley
Summary Dimensions citations
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Chapter title
Identifying Surprising Events in Video Using Bayesian Topic Models
Chapter number 8
Book title
Detection and Identification of Rare Audiovisual Cues
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-24034-8_8
Book ISBNs
978-3-64-224033-1, 978-3-64-224034-8
Authors

Avishai Hendel, Daphna Weinshall, Shmuel Peleg

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 7%
Greece 1 4%
Unknown 25 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Ph. D. Student 5 18%
Professor 3 11%
Student > Bachelor 2 7%
Lecturer 2 7%
Other 6 21%
Unknown 4 14%
Readers by discipline Count As %
Computer Science 18 64%
Engineering 5 18%
Unknown 5 18%

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