Abstract
In this paper, a semantic video retrieval system is proposed based on the stories of the videos. A hierarchical knowledge model is used to express the semantic meanings contained in the videos, and a video query language is also provided. The terms of Object, Action and Relation are used to specify rich and complex semantic meanings in a query. Based on the proposed knowledge model, the retrieval system is able to make inferences on the terms appearing in a query, and determine whether a video semantically matches the query conditions. The semantic similarity measurement is also proposed for processing approximate queries.
This work was partially supported by the Program for Promoting Academic Excellence of Universities in the Republic of China under the Contract No. 89-E-FA04-1-4
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Lin, CH., Lee, A.H., Chen, A.L. (2002). A Semantic Model for Video Description and Retrieval. In: Chen, YC., Chang, LW., Hsu, CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36228-2_24
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DOI: https://doi.org/10.1007/3-540-36228-2_24
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