THE STRUCTURAL FORM IN IMAGE CATEGORIZATION

Juha Hanni, Esa Rahtu, Janne Heikkilä

2010

Abstract

In this paper we show an unsupervised approach how to find the most natural organization of images. Previous methods which have been proposed to discover the underlying categories or topics of visual objects create no structure or at least the structure, usually tree-shaped, is defined in advance. This causes a problem since the most relevant structure of the data is not always known. It is worthwhile to consider a generic way to find the most suitable structure of images. For this, we apply the model of finding the structural form (among eight natural forms) to automatically discover the best organization of objects in visual domain. The model simultaneously finds the structural form and an instance of that form that best explains the data. In addition, we present a generic structural form, so called meta structure, which can result in even more natural connections between clusters of images. We show that the categorization results are competitive with the state-of-the-art methods while giving more generic insight to the connections between different categories.

Paper Citation

in Harvard Style

Hanni J., Rahtu E. and Heikkilä J. (2010). THE STRUCTURAL FORM IN IMAGE CATEGORIZATION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 345-350. DOI: 10.5220/0002821403450350

in Bibtex Style

@conference{visapp10,
author={Juha Hanni and Esa Rahtu and Janne Heikkilä},
title={THE STRUCTURAL FORM IN IMAGE CATEGORIZATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={345-350},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002821403450350},
isbn={978-989-674-029-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - THE STRUCTURAL FORM IN IMAGE CATEGORIZATION
SN - 978-989-674-029-0
AU - Hanni J.
AU - Rahtu E.
AU - Heikkilä J.
PY - 2010
SP - 345
EP - 350
DO - 10.5220/0002821403450350