By Topic

High-level semantic video annotation based on 3D scene structure analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Oliver Schreer ; Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institute, Einsteinufer 37, 10587 Berlin, Germany ; Sara Brodin ; Ingo Feldmann ; Wolfgang Waizenegger

The application of 3D scene reconstruction techniques in the area of automatic semantic annotation, search and retrieval of unedited video footage has become an interesting field of research for some specific type of video content. Usually static key-frames extracted from a sequence of images are analyzed in order to annotate the content. In the case of a moving camera, the temporal properties of the video can be exploited as well. Based on state of the art camera self calibration techniques a powerful analysis chain has been developed, which allows annotation with regard to specific properties of the 3D scene structure. It is demonstrated, that the reconstructed 3D scene information can be used to generate, accurate low level scene descriptors as well as meaningful medium and high level semantic information. The specific frame-based properties of the triangulated 3D scene contain a lot of potential for semantic annotation, which goes beyond standard 2D scene descriptors.

Published in:

11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10

Date of Conference:

12-14 April 2010