Audio Event Identification in Sports Media Content: The Case of Basketball

Filippidis PM, Vryzas N, Kotsakis R, Thoidis I, Dimoulas CA, Bratsas C. Audio Event Identification in Sports Media Content: The Case of Basketball. In: AES Convention 146. Audio Engineering Society; 2019. Paper 10190. Available from: https://aes.org/publications/elibrary-page/?id=20323

@inproceedings{Filippidis2019_20323,
  author = {Filippidis, Panagiotis-Marios and Vryzas, Nikolaos and Kotsakis, Rigas and Thoidis, Iordanis and Dimoulas, Charalampos A. and Bratsas, Charalampos},
  title = {{Audio Event Identification in Sports Media Content: The Case of Basketball}},
  booktitle = {AES Convention 146},
  note = {Paper 10190},
  year = {2019},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20323}
}

TY  - CPAPER
TI  - Audio Event Identification in Sports Media Content: The Case of Basketball
AU  - Filippidis, Panagiotis-Marios
AU  - Vryzas, Nikolaos
AU  - Kotsakis, Rigas
AU  - Thoidis, Iordanis
AU  - Dimoulas, Charalampos A.
AU  - Bratsas, Charalampos
T2  - AES Convention 146
M1  - Paper 10190
PY  - 2019
DA  - 2019/03/06
UR  - https://aes.org/publications/elibrary-page/?id=20323
PB  - Audio Engineering Society
LA  - en
AB  - This paper presents an audio event recognition methodology in the case of basketball content. The proposed method leverages low-level features of the audio component of basketball videos to identify basic events of the game. Through the process of detecting and defining audio event classes, a sound event taxonomy of the sport is formed. The tasks of detecting acoustic events related to basketball games, namely referee whistles and court air horns, are investigated. For the purpose of audio event detection, a feature vector is extracted and evaluated for the training of one-class classifiers. The detected events are used to segment basketball games, while the results are combined with Speech-To-Text and text mining in order to pinpoint keywords in every segment.
ER  -