Weinshall D., Anemüller J., van Gool L. (eds.) Detection and Identification of Rare Audiovisual Cues

Springer, 2012. — 186 p.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.The DIRAC Project
DIRAC: Detection and Identification of Rare Audio-Visual Events
The Detection of Incongruent Events, Project Survey and Algorithms
Audio Classification and Localization for Incongruent Event Detection
Identification of Novel Classes in Object Class Recognition
Out-of-Vocabulary Word Detection and Beyond
Incongruence Detection in Audio-Visual Processing
Catalog of Basic Scenes for Rare/Incongruent Event Detection
Alternative Frameworks to Detect Meaningful Novel Events
Trajectory-Based Abnormality Categorization for Learning Route Patterns in Surveillance
Dealing with Meaningful Novel Events, What to Do after Detection
Identifying Surprising Events in Video Using Bayesian Topic Models
Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation
Learning from Incongruence
Towards a Quantitative Measure of Rareness
How Biological Systems Deal with Novel and Incongruent Events
Predictions and Incongruency in Object Recognition: A Cognitive Neuroscience Perspective
Modulations of Single-Trial Interactions between the Auditory and the Visual Cortex during Prolonged Exposure to Audiovisual Stimuli with Fixed Stimulus Onset Asynchrony
Discrimination of Locomotion Direction at Different Speeds: A Comparison between Macaque Monkeys and Algorithms