University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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.

[img]
Preview
Text
IEEE_MM_Windridge-2015.pdf - ["content_typename_Accepted version (post-print)" not defined]
Available under License : See the attached licence file.

Download (146kB) | Preview
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

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 :
AuthorsEmailORCID
Windridge, DUNSPECIFIEDUNSPECIFIED
Kittler, JUNSPECIFIEDUNSPECIFIED
de Campos, TUNSPECIFIEDUNSPECIFIED
Yan, FUNSPECIFIEDUNSPECIFIED
Christmas, WUNSPECIFIEDUNSPECIFIED
Date : 1 April 2015
Identification Number : 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 :
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 : 21 Aug 2015 11:45
URI: http://epubs.surrey.ac.uk/id/eprint/808174

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800