Ontology-supported video modeling and retrieval

Date

2006-07-28

Author

Yildirim, Yakup
Yazıcı, Adnan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Current solutions are still far from reaching the ultimate goal, namely to enable users to retrieve the desired video clip among massive amounts of visual data in a semantically meaningful manner. With this study we propose a video database model that provides nearly automatic object, event and concept extraction. It provides a reasonable approach to bridging the gap between low-level representative features and high-level semantic contents from a human point of view. By using training sets and expert opinions, low-level feature values for objects and relations between objects are determined. At the top level we have an ontology of objects, events and concepts. Objects and/or events use all these information to generate events and concepts. The system has a reliable video data model, which gives the user the ability to make ontology- supported fuzzy querying. Queries containing objects, events, spatio-temporal clauses, concepts and low-level features can be handled.

URI

https://hdl.handle.net/11511/53647

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

Y. Yildirim and A. Yazıcı, “Ontology-supported video modeling and retrieval,” 2006, vol. 4398, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53647.