Goal event detection in soccer videos via collaborative multimodal analysis
Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing works have exclusively relied on video content features, namely, directly available and extractable data from the visual and/or aural channels. Sole reliance on such data however, can be problematic...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2013
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/40547/ http://psasir.upm.edu.my/id/eprint/40547/1/37.%20Goal%20Event%20Detection%20in%20Soccer%20Videos%20via%20Collaborative.pdf |
| _version_ | 1848849458574393344 |
|---|---|
| author | Abdul Halin, Alfian Mandava Rajeswari, |
| author_facet | Abdul Halin, Alfian Mandava Rajeswari, |
| author_sort | Abdul Halin, Alfian |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing works have exclusively relied on video content features, namely, directly available and extractable data from the visual and/or aural channels. Sole reliance on such data however, can be problematic due to the high-level semantic nature of video and the difficulty to properly align detected events with their exact time of occurrences. This paper proposes a framework for soccer goal event detection through collaborative analysis of multimodal features. Unlike previous approaches, the visual and aural contents are not directly scrutinized. Instead, an external textual source (i.e., minute-by-minute reports from sports websites) is used to initially localize the event search space. This step is vital as the event search space can significantly be reduced. This also makes further visual and aural analysis more efficient since excessive and unnecessary non-eventful segments are discarded, culminating in the accurate identification of the actual goal event segment. Experiments conducted on thirteen soccer matches are very promising with high accuracy rates being reported. |
| first_indexed | 2025-11-15T09:50:43Z |
| format | Article |
| id | upm-40547 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:50:43Z |
| publishDate | 2013 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-405472015-11-04T08:29:13Z http://psasir.upm.edu.my/id/eprint/40547/ Goal event detection in soccer videos via collaborative multimodal analysis Abdul Halin, Alfian Mandava Rajeswari, Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing works have exclusively relied on video content features, namely, directly available and extractable data from the visual and/or aural channels. Sole reliance on such data however, can be problematic due to the high-level semantic nature of video and the difficulty to properly align detected events with their exact time of occurrences. This paper proposes a framework for soccer goal event detection through collaborative analysis of multimodal features. Unlike previous approaches, the visual and aural contents are not directly scrutinized. Instead, an external textual source (i.e., minute-by-minute reports from sports websites) is used to initially localize the event search space. This step is vital as the event search space can significantly be reduced. This also makes further visual and aural analysis more efficient since excessive and unnecessary non-eventful segments are discarded, culminating in the accurate identification of the actual goal event segment. Experiments conducted on thirteen soccer matches are very promising with high accuracy rates being reported. Universiti Putra Malaysia Press 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/40547/1/37.%20Goal%20Event%20Detection%20in%20Soccer%20Videos%20via%20Collaborative.pdf Abdul Halin, Alfian and Mandava Rajeswari, (2013) Goal event detection in soccer videos via collaborative multimodal analysis. Pertanika Journal of Science & Technology, 21 (2). pp. 423-442. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2021%20%282%29%20Jul.%202013/11%20Page%20423-442.pdf |
| spellingShingle | Abdul Halin, Alfian Mandava Rajeswari, Goal event detection in soccer videos via collaborative multimodal analysis |
| title | Goal event detection in soccer videos via collaborative multimodal analysis |
| title_full | Goal event detection in soccer videos via collaborative multimodal analysis |
| title_fullStr | Goal event detection in soccer videos via collaborative multimodal analysis |
| title_full_unstemmed | Goal event detection in soccer videos via collaborative multimodal analysis |
| title_short | Goal event detection in soccer videos via collaborative multimodal analysis |
| title_sort | goal event detection in soccer videos via collaborative multimodal analysis |
| url | http://psasir.upm.edu.my/id/eprint/40547/ http://psasir.upm.edu.my/id/eprint/40547/ http://psasir.upm.edu.my/id/eprint/40547/1/37.%20Goal%20Event%20Detection%20in%20Soccer%20Videos%20via%20Collaborative.pdf |