Soccer event detection via collaborative multimodal feature analysis and candidate ranking
This paper presents a framework for soccer event detection through collaborative analysis of the textual, visual and aural modalities. The basic notion is to decompose a match video into smaller segments until ultimately the desired eventful segment is identified. Simple features are considered name...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Zarqa University
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/36415/1/Soccer%20event%20detection%20via%20collaborative%20multimodal%20feature%20analysis%20and%20candidate%20ranking.pdf |
| _version_ | 1825948837214158848 |
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| author | Abdul Halin, Alfian Rajeswari, Mandava Mohammad Abbasnejad, |
| author_facet | Abdul Halin, Alfian Rajeswari, Mandava Mohammad Abbasnejad, |
| author_sort | Abdul Halin, Alfian |
| collection | UPM |
| description | This paper presents a framework for soccer event detection through collaborative analysis of the textual, visual and aural modalities. The basic notion is to decompose a match video into smaller segments until ultimately the desired eventful segment is identified. Simple features are considered namely the minute-by-minute reports from sports websites (i.e. text), the semantic shot classes of far and closeup-views (i.e. visual), and the low-level features of pitch and log-energy (i.e. audio). The framework demonstrates that despite considering simple features, and by averting the use of labeled training examples, event detection can be achieved at very high accuracy. Experiments conducted on ~30-hours of soccer video show very promising results for the detection of goals, penalties, yellow cards and red cards. |
| first_indexed | 2024-03-06T08:35:15Z |
| format | Article |
| id | upm.eprints-36415 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:35:15Z |
| publishDate | 2013 |
| publisher | Zarqa University |
| record_format | dspace |
| spelling | upm.eprints-364152018-07-16T06:56:21Z http://psasir.upm.edu.my/id/eprint/36415/ Soccer event detection via collaborative multimodal feature analysis and candidate ranking Abdul Halin, Alfian Rajeswari, Mandava Mohammad Abbasnejad, This paper presents a framework for soccer event detection through collaborative analysis of the textual, visual and aural modalities. The basic notion is to decompose a match video into smaller segments until ultimately the desired eventful segment is identified. Simple features are considered namely the minute-by-minute reports from sports websites (i.e. text), the semantic shot classes of far and closeup-views (i.e. visual), and the low-level features of pitch and log-energy (i.e. audio). The framework demonstrates that despite considering simple features, and by averting the use of labeled training examples, event detection can be achieved at very high accuracy. Experiments conducted on ~30-hours of soccer video show very promising results for the detection of goals, penalties, yellow cards and red cards. Zarqa University 2013-09 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36415/1/Soccer%20event%20detection%20via%20collaborative%20multimodal%20feature%20analysis%20and%20candidate%20ranking.pdf Abdul Halin, Alfian and Rajeswari, Mandava and Mohammad Abbasnejad, (2013) Soccer event detection via collaborative multimodal feature analysis and candidate ranking. The International Arab Journal of Information Technology, 10 (5). pp. 493-502. ISSN 1683-3198 http://ccis2k.org/iajit/?option=com_content&task=view&id=736&Itemid=340 |
| spellingShingle | Abdul Halin, Alfian Rajeswari, Mandava Mohammad Abbasnejad, Soccer event detection via collaborative multimodal feature analysis and candidate ranking |
| title | Soccer event detection via collaborative multimodal feature analysis and candidate ranking |
| title_full | Soccer event detection via collaborative multimodal feature analysis and candidate ranking |
| title_fullStr | Soccer event detection via collaborative multimodal feature analysis and candidate ranking |
| title_full_unstemmed | Soccer event detection via collaborative multimodal feature analysis and candidate ranking |
| title_short | Soccer event detection via collaborative multimodal feature analysis and candidate ranking |
| title_sort | soccer event detection via collaborative multimodal feature analysis and candidate ranking |
| url | http://psasir.upm.edu.my/id/eprint/36415/1/Soccer%20event%20detection%20via%20collaborative%20multimodal%20feature%20analysis%20and%20candidate%20ranking.pdf |
| work_keys_str_mv | AT abdulhalinalfian soccereventdetectionviacollaborativemultimodalfeatureanalysisandcandidateranking AT rajeswarimandava soccereventdetectionviacollaborativemultimodalfeatureanalysisandcandidateranking AT mohammadabbasnejad soccereventdetectionviacollaborativemultimodalfeatureanalysisandcandidateranking |