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Change Awareness for Collaborative Video Annotation

  • Cristian HofmannEmail author
  • Uwe Boettcher
  • Dieter W. Fellner
Conference paper

Abstract

Collaborative Video Annotation is a broad field of research and is widely used in productive environments. While it is easy to follow changes in small systems with few users, keeping in touch with all changes in large environments can easily get overwhelming. The easiest way and a first approach to prevent the users from getting lost is to show them all changes in an appropriate way. This list of changes can also become very large when many contributors add new information to shared data resources. To prevent users from getting lost while having a list of changes, this paper introduces a way to subscribe to parts of the system and only to have the relevant changes shown. To achieve this goal, the framework provides an approach to check the relevance of changes, which is not trivial in three dimensional spaces, and to be accumulated for later reference by the subscribing user. The benefit for users is to need fewer time to be up-to-date and to have more time for applying own changes.

Keywords

Object Model Change Tracking Video Annotation Collaborative System Awareness Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer London 2010

Authors and Affiliations

  • Cristian Hofmann
    • 1
    • 2
    Email author
  • Uwe Boettcher
    • 2
  • Dieter W. Fellner
    • 1
    • 2
  1. 1.Fraunhofer Institute for Computer Graphics Research DarmstadtDarmstadtGermany
  2. 2.Interactive Graphics Systems GroupTechnische Universtät DarmstadtDarmstadtGermany

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