Design Efficient Technologies for Context Image Analysis in Dialog HCI Using Self-Configuring Novelty Search Genetic Algorithm

Evgeny Sopov, Ilia Ivanov

2014

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.

Paper Citation

in Harvard Style

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 - Volume 2: ASAAHMI, (ICINCO 2014) ISBN 978-989-758-040-6, pages 832-839. DOI: 10.5220/0005147108320839

in Bibtex Style

@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 - Volume 2: ASAAHMI, (ICINCO 2014)},
year={2014},
pages={832-839},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005147108320839},
isbn={978-989-758-040-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ASAAHMI, (ICINCO 2014)
TI - Design Efficient Technologies for Context Image Analysis in Dialog HCI Using Self-Configuring Novelty Search Genetic Algorithm
SN - 978-989-758-040-6
AU - Sopov E.
AU - Ivanov I.
PY - 2014
SP - 832
EP - 839
DO - 10.5220/0005147108320839