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Goal event detection in soccer videos via collaborative multimodal analysis


Citation

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

Abstract / Synopsis

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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Universiti Putra Malaysia Press
Keywords: Soccer event detection; Shot view classification; Sports video summarization; Semantic video indexing; Webcasting-text
Depositing User: Najah Mohd Ali
Date Deposited: 04 Nov 2015 16:29
Last Modified: 04 Nov 2015 16:29
URI: http://psasir.upm.edu.my/id/eprint/40547
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