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Authors: Giuseppe Amato and Fabrizio Falchi

Affiliation: Institute of Information Science and Technology, Italy

Keyword(s): Image classification, Image content recognition, Pattern recognition, Machine learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Symbolic Systems

Abstract: In this paper we consider the problem of image content recognition and we address it by using local features and kNN based classification strategies. Specifically, we define a number of image similarity functions relying on local feature similarity and matching with and without geometric constrains. We compare their performance when used with a kNN classifier. Finally we compare everything with a new kNN based classification strategy that makes direct use of similarity between local features rather than similarity between entire images. As expected, the use of geometric information offers an improvement over the use of pure image similarity. However, surprisingly, the kNN classifier that use local feature similarity has a better performance than the others, even without the use of geometric information. We perform our experiments solving the task of recognizing landmarks in photos.

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Paper citation in several formats:
Amato, G. and Falchi, F. (2011). LOCAL FEATURE BASED IMAGE SIMILARITY FUNCTIONS FOR KNN CLASSIFICATION. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-40-9; ISSN 2184-433X, pages 157-166. DOI: 10.5220/0003185401570166

@conference{icaart11,
author={Giuseppe Amato. and Fabrizio Falchi.},
title={LOCAL FEATURE BASED IMAGE SIMILARITY FUNCTIONS FOR KNN CLASSIFICATION},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2011},
pages={157-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003185401570166},
isbn={978-989-8425-40-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - LOCAL FEATURE BASED IMAGE SIMILARITY FUNCTIONS FOR KNN CLASSIFICATION
SN - 978-989-8425-40-9
IS - 2184-433X
AU - Amato, G.
AU - Falchi, F.
PY - 2011
SP - 157
EP - 166
DO - 10.5220/0003185401570166

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