Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis

Soccer event detection deals with identifying interesting segments in soccer video via audio/visual content analysis. This task enables automatic high-level index creation, which circumvents large-scale manual annotation and facilitates semantic-based retrieval. This thesis proposes two frameworks f...

Full description

Bibliographic Details
Main Author: Halin, Alfian Abdul
Format: Thesis
Language:English
Published: 2011
Subjects:
Online Access:http://eprints.usm.my/43196/
http://eprints.usm.my/43196/1/ALFIAN%20ABDUL%20HALIN.pdf
_version_ 1848879758316666880
author Halin, Alfian Abdul
author_facet Halin, Alfian Abdul
author_sort Halin, Alfian Abdul
building USM Institutional Repository
collection Online Access
description Soccer event detection deals with identifying interesting segments in soccer video via audio/visual content analysis. This task enables automatic high-level index creation, which circumvents large-scale manual annotation and facilitates semantic-based retrieval. This thesis proposes two frameworks for event detection through collaborative analysis of textual, aural and visual features. The frameworks share a common initial component where both utilize an external textual resource, which is the minute-by-minute (MBM) reports from sports broadcasters, to accurately localize sections of video containing the desired events.
first_indexed 2025-11-15T17:52:19Z
format Thesis
id usm-43196
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T17:52:19Z
publishDate 2011
recordtype eprints
repository_type Digital Repository
spelling usm-431962019-04-12T05:26:29Z http://eprints.usm.my/43196/ Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis Halin, Alfian Abdul QA75.5-76.95 Electronic computers. Computer science Soccer event detection deals with identifying interesting segments in soccer video via audio/visual content analysis. This task enables automatic high-level index creation, which circumvents large-scale manual annotation and facilitates semantic-based retrieval. This thesis proposes two frameworks for event detection through collaborative analysis of textual, aural and visual features. The frameworks share a common initial component where both utilize an external textual resource, which is the minute-by-minute (MBM) reports from sports broadcasters, to accurately localize sections of video containing the desired events. 2011-10 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/43196/1/ALFIAN%20ABDUL%20HALIN.pdf Halin, Alfian Abdul (2011) Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis. PhD thesis, Universiti Sains Malaysia.
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Halin, Alfian Abdul
Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis
title Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis
title_full Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis
title_fullStr Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis
title_full_unstemmed Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis
title_short Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis
title_sort soccer video event detection via collaborative textual, aural and visual analysis
topic QA75.5-76.95 Electronic computers. Computer science
url http://eprints.usm.my/43196/
http://eprints.usm.my/43196/1/ALFIAN%20ABDUL%20HALIN.pdf