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Authors: Ioannis Pratikakis ; Basilios Gatos and Stelios C.A. Thomopoulos

Affiliation: Institute of Informatics and Telecommunications, National Centre for Scientific Research “Demokritos”,, Greece

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): Image categorization, visual features, Support Vector Machines (SVM) classifier.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: In this paper, we have built two binary classifiers for indoor/outdoor and city/landscape categories, respectively. The proposed classifiers consist of robust visual feature extraction that feeds a support vector classification. In the case of indoor/outdoor classification, we combine color and texture information using the first three moments of RGB color space components and the low order statistics of the energy wavelet coefficients from a two-level wavelet pyramid. In the case of city/landscape classification, we combine the first three moments of L*a*b color space components and structural information (line segment orientation). Experimental results show that a high classification accuracy is achieved.

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Paper citation in several formats:
Pratikakis, I.; Gatos, B. and C.A. Thomopoulos, S. (2006). SCENE CATEGORIZATION USING LOW-LEVEL VISUAL FEATURES.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 155-160. DOI: 10.5220/0001374901550160

@conference{visapp06,
author={Ioannis Pratikakis and Basilios Gatos and Stelios {C.A. Thomopoulos}},
title={SCENE CATEGORIZATION USING LOW-LEVEL VISUAL FEATURES},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={155-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001374901550160},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - SCENE CATEGORIZATION USING LOW-LEVEL VISUAL FEATURES
SN - 972-8865-40-6
AU - Pratikakis, I.
AU - Gatos, B.
AU - C.A. Thomopoulos, S.
PY - 2006
SP - 155
EP - 160
DO - 10.5220/0001374901550160

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