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.
@article{arxiv.1509.06279,
title = {Sports highlights generation based on acoustic events detection: A rugby case study},
author = {Anant Baijal and Jaeyoun Cho and Woojung Lee and Byeong-Seob Ko},
journal= {arXiv preprint arXiv:1509.06279},
year = {2015}
}
Comments
IEEE International Conference on Consumer Electronics (IEEE ICCE 2015)