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Authors: Ningning Liu ; Emmanuel Dellandréa ; Liming Chen and Bruno Tellez

Affiliation: Université de Lyon and CNRS, France

ISBN: 978-989-8425-47-8

Keyword(s): Emotional semantic, Image classification, Evidence theory.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Feature Extraction ; Features Extraction ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing

Abstract: Recognition of emotional semantics in images is a new and very challenging research direction that gains more and more attention in the research community. As an emerging topic, publications remains relatively rare and numerous issues need to be addressed. In this paper, we propose to investigate the efficiency of different types of features including low-level features and proposed semantic features for classification of emotional semantics in images. Moreover, we propose a new approach that combines different classifiers based on Dempster-Shafer’s theory of evidence, which has the ability to handle ambiguous and uncertain knowledge such as the properties of emotions. Experiments driven on the International Affective Picture System (IAPS) image databases, which is a common stimulus set frequently used in emotion psychology research, demonstrated that the proposed approach can achieve promising results.

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Paper citation in several formats:
Liu, N.; Dellandréa, E.; Chen, L. and Tellez, B. (2011). EVALUATION OF FEATURES AND COMBINATION APPROACHES FOR THE CLASSIFICATION OF EMOTIONAL SEMANTICS IN IMAGES.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 352-357. DOI: 10.5220/0003364603520357

@conference{visapp11,
author={Ningning Liu. and Emmanuel Dellandréa. and Liming Chen. and Bruno Tellez.},
title={EVALUATION OF FEATURES AND COMBINATION APPROACHES FOR THE CLASSIFICATION OF EMOTIONAL SEMANTICS IN IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={352-357},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003364603520357},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - EVALUATION OF FEATURES AND COMBINATION APPROACHES FOR THE CLASSIFICATION OF EMOTIONAL SEMANTICS IN IMAGES
SN - 978-989-8425-47-8
AU - Liu, N.
AU - Dellandréa, E.
AU - Chen, L.
AU - Tellez, B.
PY - 2011
SP - 352
EP - 357
DO - 10.5220/0003364603520357

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