Visual Event Computing
Dr WeiQi Yan received his Ph.D. degree from Institute of Computing Technology, Academia Sinica, China in 2001. His research interests include Multimedia Systems and Intelligent Multimedia Security, Forensics and Surveillance. He has over 90 publications. Dr Yan is serving as an associate editor for th
Dr WeiQi Yan received his Ph.D. degree from Institute of Computing Technology, Academia Sinica, China in 2001. His research interests include Multimedia Systems and Intelligent Multimedia Security, Forensics and Surveillance. He has over 90 publications. Dr Yan is serving as an associate editor for th
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- Introduction
- Introduction to Visual Event Computing
- Events
- Towards Events
- Events
- Defining `Events’
- Experiential Data
- Create a Web
- Explicit Referential Links
- Spatio-Temporal Links
- IE: EventoScope
- Causality
- Casual Chains
- A Scenario - Conferences
- Crowdsourcing
- Participatory Urban Sensing
- Visual Event Computing
- Content of Event Computing
- Applied Techniques in Event Computing
- Visual Event Capturing
- Live Data
- Photo Event Detection
- Video Event Detection
- Multi-Modal Event Computing
- Multi-Modal Event Capturing in a Sentient Environment
- Approaches
- Event Detection Systems
- Detecting Events
- Reports
- Bibliography
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.