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 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)....[Show more]
|Collections||ANU Research Publications|
|Source:||International Arab Journal of Information Technology|
|01_Halin_Soccer_event_detection_via_2013.pdf||811.1 kB||Adobe PDF||Request a copy|
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