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Authors: Evgeny Sopov and Ilia Ivanov

Affiliation: Siberian State Aerospace University, Russian Federation

Keyword(s): Image Analysis, Classification, Multiobjective Genetic Algorithm, Novelty Search.

Abstract: The efficiency of HCI systems can be sufficiently improved by the analysis of additional contextual information about the human user and interaction process. The processing of visual context provides HCI with such information as user identification, age, gender, emotion recognition and others. In this work, an approach to adaptive model building for image classification is presented. The novelty search based upon the multi-objective genetic algorithm is used to stochastically design a variety of independent technologies, which provide different image analysis strategies. Finally, the ensemble based decision is built adaptively for the given image analysis problem.

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Paper citation in several formats:
Sopov, E. and Ivanov, I. (2014). Design Efficient Technologies for Context Image Analysis in Dialog HCI Using Self-Configuring Novelty Search Genetic Algorithm. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) - Volume 1: ASAAHMI; ISBN 978-989-758-040-6; ISSN 2184-2809, SciTePress, pages 832-839. DOI: 10.5220/0005147108320839

@conference{asaahmi14,
author={Evgeny Sopov. and Ilia Ivanov.},
title={Design Efficient Technologies for Context Image Analysis in Dialog HCI Using Self-Configuring Novelty Search Genetic Algorithm},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) - Volume 1: ASAAHMI},
year={2014},
pages={832-839},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005147108320839},
isbn={978-989-758-040-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) - Volume 1: ASAAHMI
TI - Design Efficient Technologies for Context Image Analysis in Dialog HCI Using Self-Configuring Novelty Search Genetic Algorithm
SN - 978-989-758-040-6
IS - 2184-2809
AU - Sopov, E.
AU - Ivanov, I.
PY - 2014
SP - 832
EP - 839
DO - 10.5220/0005147108320839
PB - SciTePress

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