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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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2011
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| 主題: | |
| 在線閱讀: | http://eprints.usm.my/43196/1/ALFIAN%20ABDUL%20HALIN.pdf |
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| 總結: | 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. |
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