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The Ethereal
Sports highlights generation based on acoustic events detection: A rugby case study
September 18, 2015 ยท Declared Dead ยท ๐ IEEE International Conference on Consumer Electronics
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Anant Baijal, Jaeyoun Cho, Woojung Lee, Byeong-Seob Ko
arXiv ID
1509.06279
Category
cs.SD: Sound
Cross-listed
cs.AI,
cs.LG
Citations
17
Venue
IEEE International Conference on Consumer Electronics
Last Checked
3 months ago
Abstract
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.
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