Please use this identifier to cite or link to this item: https://doi.org/10.1145/2457450.2457452
Title: A reward-and-punishment-based approach for concept detection using adaptive ontology rules
Authors: Bhatt, C.A.
Atrey, P.K.
Kankanhalli, M.S. 
Keywords: Adaptive ontology rules
Concept detection
Dynamic correlation
Model
Multimedia data mining
Issue Date: May-2013
Citation: Bhatt, C.A., Atrey, P.K., Kankanhalli, M.S. (2013-05). A reward-and-punishment-based approach for concept detection using adaptive ontology rules. ACM Transactions on Multimedia Computing, Communications and Applications 9 (2) : -. ScholarBank@NUS Repository. https://doi.org/10.1145/2457450.2457452
Abstract: Despite the fact that performance improvements have been reported in the last years, semantic concept detection in video remains a challenging problem. Existing concept detection techniques, with ontology rules, exploit the static correlations among primitive concepts but not the dynamic spatiotemporal correlations. The proposed method rewards (or punishes) detected primitive concepts using dynamic spatiotemporal correlations of the given ontology rules and updates these ontology rules based on the accuracy of detection. Adaptively learned ontology rules significantly help in improving the overall accuracy of concept detection as shown in the experimental result. © 2013 ACM.
Source Title: ACM Transactions on Multimedia Computing, Communications and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/77804
ISSN: 15516857
DOI: 10.1145/2457450.2457452
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