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Authors: Julius Schöning ; Patrick Faion and Gunther Heidemann

Affiliation: University of Osnabrück, Germany

ISBN: 978-989-758-173-1

Keyword(s): Semantic Ground Truth Annotation, Video Annotation, Polygon Shaped, Semi-automatic.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Understanding ; Knowledge Acquisition and Representation ; Pattern Recognition ; Software Engineering ; Theory and Methods ; Video Analysis

Abstract: In the last decades, a large diversity of automatic, semi-automatic and manual approaches for video segmentation and knowledge extraction from video-data has been proposed. Due to the high complexity in both the spatial and temporal domain, it continues to be a challenging research area. In order to develop, train, and evaluate new algorithms, ground truth of video-data is crucial. Pixel-wise annotation of ground truth is usually time-consuming, does not contain semantic relations between objects and uses only simple geometric primitives. We provide a brief review of related tools for video annotation, and introduce our novel interactive and semi-automatic segmentation tool iSeg. Extending an earlier implementation, we improved iSeg with a semantic time line, multithreading and the use of ORB features. A performance evaluation of iSeg on four data sets is presented. Finally, we discuss possible opportunities and applications of semantic polygon-shaped video annotation, such as 3D reco nstruction and video inpainting. (More)

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Paper citation in several formats:
Schöning, J.; Schöning, J.; Faion, P. and Heidemann, G. (2016). Pixel-wise Ground Truth Annotation in Videos - An Semi-automatic Approach for Pixel-wise and Semantic Object Annotation.In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 690-697. DOI: 10.5220/0005823306900697

@conference{icpram16,
author={Julius Schöning. and Julius Schöning. and Patrick Faion. and Gunther Heidemann.},
title={Pixel-wise Ground Truth Annotation in Videos - An Semi-automatic Approach for Pixel-wise and Semantic Object Annotation},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={690-697},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005823306900697},
isbn={978-989-758-173-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Pixel-wise Ground Truth Annotation in Videos - An Semi-automatic Approach for Pixel-wise and Semantic Object Annotation
SN - 978-989-758-173-1
AU - Schöning, J.
AU - Schöning, J.
AU - Faion, P.
AU - Heidemann, G.
PY - 2016
SP - 690
EP - 697
DO - 10.5220/0005823306900697

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