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Authors: Mahesh Venkata Krishna ; Paul Bodesheim and Joachim Denzler

Affiliation: Friedrich Schiller University Jena, Germany

Keyword(s): Video Analysis, Video Segmentation, Event Detection, One-Class Classification

Abstract: Segmenting videos into meaningful image sequences of some particular activities is an interesting problem in computer vision. In this paper, a novel algorithm is presented to achieve this semantic video segmentation. The goal is to make the system work unsupervised and generic in terms of application scenarios. The segmentation task is accomplished through event detection in a frame-by-frame processing setup. For event detection, we use a one-class classification approach based on Gaussian processes, which has been proved to be successful in object classification. The algorithm is tested on videos from a publicly available change detection database and the results clearly show the suitability of our approach for the task of video segmentation.

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Paper citation in several formats:
Venkata Krishna, M.; Bodesheim, P. and Denzler, J. (2013). Video Segmentation by Event Detection: A Novel One-class Classification Approach. In Proceedings of the 4th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2013) - IMTA-4; ISBN 978-989-8565-50-1, SciTePress, pages 73-81. DOI: 10.5220/0004394100730081

@conference{imta-413,
author={Mahesh {Venkata Krishna}. and Paul Bodesheim. and Joachim Denzler.},
title={Video Segmentation by Event Detection: A Novel One-class Classification Approach},
booktitle={Proceedings of the 4th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2013) - IMTA-4},
year={2013},
pages={73-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004394100730081},
isbn={978-989-8565-50-1},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2013) - IMTA-4
TI - Video Segmentation by Event Detection: A Novel One-class Classification Approach
SN - 978-989-8565-50-1
AU - Venkata Krishna, M.
AU - Bodesheim, P.
AU - Denzler, J.
PY - 2013
SP - 73
EP - 81
DO - 10.5220/0004394100730081
PB - SciTePress