Quasi-Periodic Event Analysis for Social Game Retrieval
Abstract
A new problem of retrieving social games from unstructured videos is proposed. Social games are characterized by repetitions (with variations) of alternating turns between two players. We define games as quasi-periodic motion patterns in video based on their repetitiveness property. We have developed an algorithm to extract such patterns from video. The patterns extracted by our method, from video clips of social games taken from YouTube, are shown to correspond to meaningful stages of the games. We demonstrate promising results in retrieving social games from unstructured, lab-recorded footage of children's play, and identifying social interactions in a dataset of approximately 3.75 hours of home movies.
Cite
Text
Wang et al. "Quasi-Periodic Event Analysis for Social Game Retrieval." IEEE/CVF International Conference on Computer Vision, 2009. doi:10.1109/ICCV.2009.5459151Markdown
[Wang et al. "Quasi-Periodic Event Analysis for Social Game Retrieval." IEEE/CVF International Conference on Computer Vision, 2009.](https://mlanthology.org/iccv/2009/wang2009iccv-quasi/) doi:10.1109/ICCV.2009.5459151BibTeX
@inproceedings{wang2009iccv-quasi,
title = {{Quasi-Periodic Event Analysis for Social Game Retrieval}},
author = {Wang, Ping and Abowd, Gregory D. and Rehg, James M.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2009},
pages = {112-119},
doi = {10.1109/ICCV.2009.5459151},
url = {https://mlanthology.org/iccv/2009/wang2009iccv-quasi/}
}