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Authors: Sang Min Yoon and Arjan Kuijper

Affiliation: Fraunhofer IGD & TU Darmstadt, Germany

ISBN: 978-989-674-029-0

Keyword(s): Diffusion tensor fields, Sketch query based image retrieval.

Abstract: Sketches drawn by users are one of the most intuitive forms of Human Computer Interaction. Users can easily express their intention by sketching simple hand-drawn lines. In this paper, we consider the problem of target object detection and retrieval from a query by a sketch which is not in the database. Our novel approach consists of three steps: (1) Preprocessing to extract the skeletal features from a sketched query using size normalization, labelling, and binarization, (2) Skeletal feature extraction of query and data images in the space of diffusion tensor fields, and (3) Similarity measure using tensorial information between sketched query and database to retrieve the most similar target object in database. Experiments are conducted to evaluate the performance of our methodology, which shows to be an efficient and mature retrieval system.

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Paper citation in several formats:
Min Yoon S.; Kuijper A. and (2010). OBJECT RETRIEVAL BASED ON USER-DRAWN SKETCHES.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 292-299. DOI: 10.5220/0002818702920299

@conference{visapp10,
author={Sang {Min Yoon} and Arjan Kuijper},
title={OBJECT RETRIEVAL BASED ON USER-DRAWN SKETCHES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={292-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002818702920299},
isbn={978-989-674-029-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - OBJECT RETRIEVAL BASED ON USER-DRAWN SKETCHES
SN - 978-989-674-029-0
AU - Min Yoon, S.
AU - Kuijper, A.
PY - 2010
SP - 292
EP - 299
DO - 10.5220/0002818702920299

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