DocumentCode :
3101242
Title :
Towards automatic annotation of video documents
Author :
Madrane, Nabil ; Goldberg, Morris
Author_Institution :
Multimedia Dept., Eurecom Inst., Sophia Antipolis, France
Volume :
1
fYear :
1994
fDate :
9-13 Oct 1994
Firstpage :
773
Abstract :
This paper presents a video indexing tool for sequences which contain moving persons, using a model-based dynamic scene analysis. The authors show how scene-specific knowledge can be used to guide the analysis process. The authors´ approach permits one to avoid some problems inherent in the segmentation of primitives. A model-based post-processing step is used to correct a posteriori the shape of the extracted objects. A scenario, describing the sequence in terms of basic events is proposed. These events constitute a first level of annotation and experiments show a good robustness regarding occlusions problems
Keywords :
image sequences; automatic annotation; model-based dynamic scene analysis; model-based post-processing; moving persons; occlusions; scene-specific knowledge; video documents; video indexing tool; Biological system modeling; Humans; Image analysis; Image motion analysis; Image sequence analysis; Indexing; Layout; Motion analysis; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
Type :
conf
DOI :
10.1109/ICPR.1994.576438
Filename :
576438
Link To Document :
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