A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage

Windridge, D, Kittler, J, de Campos, T, Yan, F and Christmas, W (2015) A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage IEEE MULTIMEDIA, 22 (2). pp. 24-35.

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Abstract

The grounding of high-level semantic concepts is a key requirement of video annotation systems. Rule induction can thus constitute an invaluable intermediate step in characterizing protocol-governed domains, such as broadcast sports footage. The authors propose a clause grammar template approach to the problem of rule induction in video footage of court games that employs a second-order meta-grammar for Markov Logic Network construction. The aim is to build an adaptive system for sports video annotation capable, in principle, of both learning ab initio and adaptively transferring learning between distinct rule domains. The authors tested the method using a simulated game predicate generator as well as real data derived from tennis footage via computer-vision-based approaches including HOG3D-based player-action classification, Hough-transform-based court detection, and graph-theoretic ball tracking. Experiments demonstrate that the method exhibits both error resilience and learning transfer in the court domain context. Moreover, the clause template approach naturally generalizes to any suitably constrained, protocol-governed video domain characterized by feature noise or detector error.

Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :	Name Email ORCID Windridge, D Kittler, J de Campos, T Yan, F Christmas, W
Date :	1 April 2015
DOI :	10.1109/MMUL.2014.36
Uncontrolled Keywords :	Science & Technology, Technology, Computer Science, Hardware & Architecture, Computer Science, Information Systems, Computer Science, Software Engineering, Computer Science, Theory & Methods, Computer Science, ANNOTATION
Related URLs :	Author
Additional Information :	(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
Depositing User :	Symplectic Elements
Date Deposited :	21 Aug 2015 11:45
Last Modified :	31 Oct 2017 17:34
URI:	http://epubs.surrey.ac.uk/id/eprint/808174

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