Visual Event Computing

Commentaires:
( 14 )
86 pages
Langue:
 English
This book’s focus is on visual event computing. An introduction is presented on what an event is and on detecting events from videos and images. Event search and reasoning are examined and discussed.
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Dernière publication
A propos de l'auteur

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...

Description
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

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.