Visual Event Computing

Content

1. Introduction
   1. Introduction to Visual Event Computing
2. Events
   1. Towards Events
   2. Events
   3. Defining `Events’
   4. Experiential Data
   5. Create a Web
   6. Explicit Referential Links
   7. Spatio-Temporal Links
   8. IE: EventoScope
   9. Causality
   10. Casual Chains
   11. A Scenario - Conferences
   12. Crowdsourcing
   13. Participatory Urban Sensing
3. Visual Event Computing
   1. Content of Event Computing
   2. Applied Techniques in Event Computing
4. Visual Event Capturing
   1. Live Data
   2. Photo Event Detection
   3. Video Event Detection
5. Multi-Modal Event Computing
   1. Multi-Modal Event Capturing in a Sentient Environment
   2. Approaches
   3. Event Detection Systems
   4. Detecting Events
   5. Reports
6. Bibliography

Description

In this book, the focus is on visual event computing. The events come from video and images. An introduction is presented on what an event is, then an introduction is presented on detecting events from videos and images. Furthermore, event search, retrieval, mining, and reasoning is examined and discussed. As an example, how to use visual event computing in a surveillance environment is proposed. The related software system is also presented.