INFORMATION FUSION TECHNIQUES FOR AUTOMATIC IMAGE ANNOTATION

Filippo Vella; Chin-Hui Lee

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Paper

INFORMATION FUSION TECHNIQUES FOR AUTOMATIC IMAGE ANNOTATION

Topics: Object, Event and Scene Recognition, Retrieval and Indexing

In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 60-67, 2007 , Barcelona, Spain

Authors: Filippo Vella ¹ and Chin-Hui Lee ²

Affiliations: ¹ Università di Palermo, Italy ; ² School of Electrical and Computer Engineering, Georgia Institute of Technology, United States

Keyword(s): Automatic Image Annotation, Visual Terms, Visual Dictionaries, Multi-Topic Categorization, Maximal Figure of Merit, Information Fusion.

Abstract: Many recent techniques in Automatic Image Annotation use a description of image content based on visual symbolic elements associating textual labels through symbolic connection techniques. These symbolic visual elements, called visual terms, are obtained by a tokenization process starting from the values of features extracted from the training images data set. An interesting issue for this approach is to exploit, through information fusion, the representations with visual terms derived by different image features. We show techniques for the integration of visual information from different image features and compare the results achieved by them.

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Paper citation in several formats:

Vella, F. and Lee, C. (2007). INFORMATION FUSION TECHNIQUES FOR AUTOMATIC IMAGE ANNOTATION. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 60-67. DOI: 10.5220/0002053800600067

@conference{visapp07,
author={Filippo Vella. and Chin{-}Hui Lee.},
title={INFORMATION FUSION TECHNIQUES FOR AUTOMATIC IMAGE ANNOTATION},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={60-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002053800600067},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - INFORMATION FUSION TECHNIQUES FOR AUTOMATIC IMAGE ANNOTATION
SN - 978-972-8865-74-0
IS - 2184-4321
AU - Vella, F.
AU - Lee, C.
PY - 2007
SP - 60
EP - 67
DO - 10.5220/0002053800600067
PB - SciTePress