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

Article

Khan, A., Windridge, D. and Kittler, J. 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. https://doi.org/10.1109/TCYB.2014.2299955
TypeArticle
TitleMultilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation
AuthorsKhan, A., Windridge, D. and Kittler, J.
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.

PublisherIEEE
JournalIEEE Transactions on Cybernetics
ISSN2168-2267
Electronic2168-2275
Publication dates
Print10 Oct 2014
Publication process dates
Deposited22 Apr 2016
Accepted30 Dec 2013
Output statusPublished
Accepted author manuscript
Copyright Statement

© 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.

Additional information

Date of Publication : 27 January 2014

Digital Object Identifier (DOI)https://doi.org/10.1109/TCYB.2014.2299955
PubMed ID25222731
LanguageEnglish
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