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Audio-based event detection for sports video | Proceedings ...
https://dl.acm.org/doi/10.5555/1760167.1760206
In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels …
(PDF) Audio-Based Event Detection for Sports Video
https://www.researchgate.net/publication/221368635_Audio-Based_Event_Detection_for_Sports_Video
In this paper, we present an audio-based event detection ap- proach shown to be eective when applied to the Sports broadcast data. The main benefit of …
Audio-Based Event Detection for Sports Video | SpringerLink
https://link.springer.com/chapter/10.1007%2F3-540-45113-7_30
Abstract. In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels of crowd response which can be correlated to key events.
Audio-based event detection for sports video (2003)
https://citeseerx.ist.psu.edu/showciting?doi=10.1.1.136.7542
In this paper, we present an audio-based event detection algorithm shown to be effective when applied to Soccer video. The main benefit of this approach is the ability to recognise patterns that display high levels of crowd response correlated to key …
CiteSeerX — Audio-based event detection for sports video
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.407.6251
Abstract. In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels …
Audio-based event detection for sports video | Proceedings ...
https://dl.acm.org/doi/abs/10.5555/1760167.1760206
Home Browse by Title Proceedings CIVR'03 Audio-based event detection for sports video. Article . Audio-based event detection for sports video. Share on. Authors: Mark Baillie. Department of Computing Science, University of Glasgow, Lilybank Gardens, Glasgow, UK.
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