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Authors: Sang Min Yoon and Holger Graf

Affiliation: ZGDV, Computer Graphics Center, Germany

Keyword(s): Hierarchical image clustering.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Multi-View Geometry

Abstract: Within this paper, we present a hierarchical online image representation method with 3D camera position to efficiently summarize and classify the images on the web. The framework of our proposed hierarchical online image representation methodology is composed of multiple layers: at the lowest layer in the hierarchical structure, relationship between multiple images is represented by their recovered 3D camera parameters by automatic feature detection and matching. At the upper layers, images are classified using constrained agglomerative hierarchical image clustering techniques, in which the feature space established at the lowest layer consists of the camera’s 3D position. Constrained agglomerative hierarchical online image clustering method is efficient to balance the hierarchical layers whether images in the cluster are many or not. Our proposed hierarchical online image representation method can be used to classify online images within large image repositories by their camera view position and orientation. It provides a convenient way to image browsing, navigating and categorizing of the online images that have various view points, illumination, and partial occlusion. (More)

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Paper citation in several formats:
Min Yoon, S. and Graf, H. (2009). HIERARCHICAL ONLINE IMAGE REPRESENTATION BASED ON 3D CAMERA GEOMETRY. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 54-59. DOI: 10.5220/0001790600540059

@conference{visapp09,
author={Sang {Min Yoon}. and Holger Graf.},
title={HIERARCHICAL ONLINE IMAGE REPRESENTATION BASED ON 3D CAMERA GEOMETRY},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={54-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001790600540059},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - HIERARCHICAL ONLINE IMAGE REPRESENTATION BASED ON 3D CAMERA GEOMETRY
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Min Yoon, S.
AU - Graf, H.
PY - 2009
SP - 54
EP - 59
DO - 10.5220/0001790600540059
PB - SciTePress