Ontology-supported video modeling and retrieval

Yildirim Y., Yazici A.

4th International Workshop on Adaptive Multimedia Retrieval, Geneva, Switzerland, 27 - 28 July 2006, vol.4398, pp.28-30 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 4398
  • City: Geneva
  • Country: Switzerland
  • Page Numbers: pp.28-30
  • Middle East Technical University Affiliated: Yes


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.