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...
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| Language: | English |
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2011
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| Online Access: | http://eprints.usm.my/43196/1/ALFIAN%20ABDUL%20HALIN.pdf |
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my-usm-ep.431962019-04-12T05:26:29Z Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis 2011-10 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 http://eprints.usm.my/43196/ http://eprints.usm.my/43196/1/ALFIAN%20ABDUL%20HALIN.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer |
| institution |
Universiti Sains Malaysia |
| collection |
USM Institutional Repository |
| language |
English |
| topic |
QA75.5-76.95 Electronic computers Computer science |
| spellingShingle |
QA75.5-76.95 Electronic computers Computer science Halin, Alfian Abdul Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis |
| 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. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Halin, Alfian Abdul |
| author_facet |
Halin, Alfian Abdul |
| author_sort |
Halin, Alfian Abdul |
| title |
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_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_sort |
soccer video event detection via collaborative textual, aural and visual analysis |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Sains Komputer |
| publishDate |
2011 |
| url |
http://eprints.usm.my/43196/1/ALFIAN%20ABDUL%20HALIN.pdf |
| _version_ |
1747821179001896960 |