In this paper, we describe a novel end-to-end video automatic labeling system, which accepts MPEG-I sequence inputs and generates MPEG-7 XML metadata files based on the prior established anchor models. Seven modules were developed for the system: Shot Segmentation, Region Segmentation, Annotation, Feature Extraction, Model Learning, Classification, and XML Rendering. The performance of this system has been tested in the NIST TREC-2002 video concept detection benchmark. The proposed system performs best in the mean average precision out of 18 worldwide participants.
VideoAL REF is an IBM-developed system that generates MPEG-7 content descriptions from MPEG-1 video sequences via a combination of shot segmentation, region segmentation, annotation, feature extraction, model learning, classification and XML rendering.
VideoAL: a novel end-to-end MPEG-7 video automatic labeling system
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
Computer Science