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Semantic video model for content-based retrieval
Proceedings IEEE International Conference on Multimedia Computing and Systems
Traditional research on video data retrieval follows two general approaches. One is based on text annotation and the other on content-based comparison. However, these approaches do not fully make use of the meaning implied in a video stream. To improve these approaches, a semantic video model cooperated with a knowledge database is studied. In this paper, we propose a new semantic video model and focus on presenting the semantic meaning implied in a video. According to the granularity of the
doi:10.1109/mmcs.1999.778508
dblp:conf/icmcs/KohLC99
fatcat:id6r3wlahndank5pbtwmfosar4