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Authors: Johannes Steffen ; Marko Rak ; Tim König and Klaus-Dietz Tönnies

Affiliation: Otto von Guericke University Magdeburg, Germany

ISBN: 978-989-758-173-1

Keyword(s): Object Detection, Object Segmentation, Cosegmentation.

Related Ontology Subjects/Areas/Topics: Applications ; Clustering ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Information Retrieval and Learning ; Instance-Based Learning ; Object Recognition ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: We tackle the problem of unsupervised object cosegmentation combining automatic image selection, cosegmentation, and knowledge transfer to yet unlabelled images. Furthermore, we overcome the limitations often present in state-of-the-art methods in object cosegmentation, namely, high complexity and poor scalability w.r.t. image set size. Our proposed approach is robust, reasonably fast, and scales linearly w.r.t. the image set size. We tested our approach on two commonly used cosegmentation data sets and outperformed some of the state-of-the-art methods using significantly less information than possible. Additionally, results indicate the applicability of our approach on larger image sets.

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Paper citation in several formats:
Steffen, J.; Rak, M.; König, T. and Tönnies, K. (2016). Information Efficient Automatic Object Detection and Segmentation using Cosegmentation, Similarity based Clustering, and Graph Label Transfer.In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 397-406. DOI: 10.5220/0005625103970406

@conference{icpram16,
author={Johannes Steffen. and Marko Rak. and Tim König. and Klaus{-}Dietz Tönnies.},
title={Information Efficient Automatic Object Detection and Segmentation using Cosegmentation, Similarity based Clustering, and Graph Label Transfer},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={397-406},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005625103970406},
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 - Information Efficient Automatic Object Detection and Segmentation using Cosegmentation, Similarity based Clustering, and Graph Label Transfer
SN - 978-989-758-173-1
AU - Steffen, J.
AU - Rak, M.
AU - König, T.
AU - Tönnies, K.
PY - 2016
SP - 397
EP - 406
DO - 10.5220/0005625103970406

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