% Encoding: UTF-8
@COMMENT{BibTeX export based on data in FAU CRIS: https://cris.fau.de/}
@COMMENT{For any questions please write to cris-support@fau.de}
@inproceedings{faucris.106721824,
abstract = {Manually browsing through high amount of sports videos, selecting interesting highlight scenes, and applying video effects are time-consuming and one major burden these days. Automatic approaches are preferred, but currently require high-quality TV broadcast material which is usually not available in recreational sports. Thus, the purpose of this paper was to develop a personal low-cost movie producer for highlight videos using wearables. The feasibility of the proposed approach was shown for soccer scenarios. The automatic highlight video generation included three contributions: (i) sensor-based full-instep kick detection and extraction of corresponding video segments, (ii) sensor-based ball speed estimation for provision of highlight-related metadata shown in the final video, and (iii) sensor-driven video effect generation. The proposed system was evaluated on eleven subjects which were equipped with inertial sensors in the cavity of soccer shoes. A mean sensitivity of 95.6 % and a mean absolute error of 7.7 km/h were achieved for the full-instep kick classification and the ball speed estimation, respectively. This personal movie producer based on wearables is a novel idea to provide recreational athletes with attractive automatically generated highlight videos in sports.},
address = {New York, NY, USA},
author = {Schuldhaus, Dominik and Jakob, Carolin and Zwick, Constantin and Koerger, Harald and Eskofier, Björn},
booktitle = {Proceedings of the 2016 ACM International Symposium on Wearable Computers},
date = {2016-09-12/2016-09-16},
doi = {10.1145/2971763.2971772},
faupublication = {yes},
keywords = {Wearables; Inertial Sensors; Soccer; Data Mining; Highlight Videos},
pages = {80-83},
peerreviewed = {Yes},
publisher = {ACM},
title = {{Your} {Personal} {Movie} {Producer}: {Generating} {Highlight} {Videos} in {Soccer} {Using} {Wearables}},
venue = {Heidelberg},
year = {2016}
}