Multilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation

Khan, Aftab, Windridge, David and Kittler, Josef (2014) Multilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation. IEEE Transactions on Cybernetics, 44 (10). pp. 1910-1923. ISSN 2168-2267

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Abstract

We propose four variants of a novel hierarchical hidden Markov models strategy for rule induction in the context of automated sports video annotation including a multilevel Chinese takeaway process (MLCTP) based on the Chinese restaurant process and a novel Cartesian product label-based hierarchical bottom-up clustering (CLHBC) method that employs prior information contained within label structures. Our results show significant improvement by comparison against the flat Markov model: optimal performance is obtained using a hybrid method, which combines the MLCTP generated hierarchical topological structures with CLHBC generated event labels. We also show that the methods proposed are generalizable to other rule-based environments including human driving behavior and human actions.

Item Type: Article
Additional Information: Date of Publication : 27 January 2014
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 19478
Notes on copyright: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: David Windridge
Date Deposited: 22 Apr 2016 10:22
Last Modified: 05 Apr 2019 05:18
URI: https://eprints.mdx.ac.uk/id/eprint/19478

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