Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis
| dc.contributor.author | Abdul Halin, Alfian | |
| dc.date.accessioned | 2019-01-02T06:23:02Z | |
| dc.date.available | 2019-01-02T06:23:02Z | |
| dc.date.issued | 2011-10 | |
| dc.description.abstract | 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. The first framework identifies an initial estimate of an eventful segment via audio energy analysis. Visual semantic features are then observed to further refine the detected eventful segment. The second framework implements a ranking procedure where semantic visual features are firstly analyzed to generate a shortlist of candidates. This is followed by aural or visual analysis to rank the actual eventful candidate top-most within the respective shortlist. Both frameworks rely on uncomplicated audio/visual feature sets, which is the main advantage compared to previously proposed works. Furthermore, manually labeled data are not needed since audio/visual considerations are based on automatically classified semantic visual features and low-level aural calculations. Evaluation made over a large video dataset shows promising results for goal, penalty, yellow card, red card and substitution events detection. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/7427 | |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Sains Malaysia | en_US |
| dc.subject | Soccer video event detection | en_US |
| dc.subject | via collaborative textual | en_US |
| dc.title | Soccer Video Event Detection Via Collaborative Textual, Aural And Visual Analysis | en_US |
| dc.type | Thesis | en_US |
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