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Authors: Anne-Sophie Ettl 1 ; Ralf Köster 2 ; Axel Zeilner 2 and Arjan Kuijper 3

Affiliations: 1 Technische Universität Darmstadt and FINARX GmbH, Germany ; 2 FINARX GmbH, Germany ; 3 Technische Universität Darmstadt and Fraunhofer IGD, Germany

Keyword(s): Digitizing, Mobile Devices, Classification.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Document Imaging in Business ; Features Extraction ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Generation Pipeline: Algorithms and Techniques ; Mobile Imaging ; Pervasive Smart Cameras

Abstract: Post processing and automatic interpretation of images plays an increasingly important role in the mobile area. Both for the efficient compression and for the automatic evaluation of text, it is useful to store text content as textual information rather than as graphics information. For this purpose pictures from magazines are recorded with the camera of a smartphone and classified according to text and image areas. In this work established desktop procedures are presented and analyzed in terms of their applications on mobile devices. Based on these methods, an approach for image segmentation and classification on mobile devices is developed, taking into account the limited resources of these mobile devices.

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Paper citation in several formats:
Ettl, A.; Köster, R.; Zeilner, A. and Kuijper, A. (2013). Classification of Text and Image Areas in Digitized Documents for Mobile Devices. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 88-91. DOI: 10.5220/0004273600880091

@conference{visapp13,
author={Anne{-}Sophie Ettl. and Ralf Köster. and Axel Zeilner. and Arjan Kuijper.},
title={Classification of Text and Image Areas in Digitized Documents for Mobile Devices},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={88-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004273600880091},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - Classification of Text and Image Areas in Digitized Documents for Mobile Devices
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Ettl, A.
AU - Köster, R.
AU - Zeilner, A.
AU - Kuijper, A.
PY - 2013
SP - 88
EP - 91
DO - 10.5220/0004273600880091
PB - SciTePress

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