Sports highlights generation based on acoustic events detection: A rugby case study
arXiv:1509.06279v118 citations
Originality Synthesis-oriented
AI Analysis
This addresses the problem of automated sports highlight generation for broadcasters or fans, but it is incremental as it applies existing methods to a new domain (rugby).
The paper tackled generating highlights from sports broadcasts using only audio by detecting key acoustic events, achieving high efficiency as indicated by objective results and human experience.
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.