Sports highlights generation based on acoustic events detection: A rugby case study
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Abstract (arXiv)
We approach the challenging problem of generating highlights from sports broadcasts utilizing audio information only. A language-independent, multi-stage classification approach is employed for detection of key acoustic events which then act as a platform for summarization of highlight scenes. Objective results and human experience indicate that our system is highly efficient.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 18 Sep 2015.
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