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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| Format: | Thesis |
| Language: | English |
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2011
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| Online Access: | http://eprints.usm.my/43196/ |
| Abstract | Abstract here |
| _version_ | 1855629722512261120 |
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| author | Halin, Alfian Abdul |
| author_facet | Halin, Alfian Abdul |
| author_sort | Halin, Alfian Abdul |
| 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 | 2025-10-17T08:21:15Z |
| format | Thesis |
| id | usm-43196 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2025-10-17T08:21:15Z |
| publishDate | 2011 |
| record_format | EPrints |
| record_pdf | Restricted |
| 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 |
| thesis_level | PhD |
| 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/ |
| work_keys_str_mv | AT halinalfianabdul soccervideoeventdetectionviacollaborativetextualauralandvisualanalysis |