Content-based video retrieval by integrating spatio-temporal and stochastic recognition of events
- 1 January 2001
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
As amounts of publicly available video data grow, the need to query this data efficiently becomes significant. Consequently, content-based retrieval of video data turns out to be a challenging and important problem. In this paper, we address the specific aspect of inferring semantics automatically from raw video data. In particular, we introduce a new video data model that supports the integrated use of two different approaches for mapping low-level features to high-level concepts. Firstly, the model is extended with a rule-based approach that supports spatio-temporal formalization of high-level concepts, and then with a stochastic approach. Furthermore, results on real tennis video data are presented, demonstrating the validity of both approaches, as well as advantages of their integrated use.Keywords
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