loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ken Nagao and Issei Fujishiro

Affiliation: Keio University, Japan

ISBN: 978-989-8565-48-8

Keyword(s): Digital Signage, Image Processing, Genetic Algorithm, Human Behavior Recognition.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction ; Image Formation and Preprocessing ; Image Generation Pipeline: Algorithms and Techniques

Abstract: Digital signage has been becoming more popular due to the recent development of underlying hardware technology and improvement in installing environments. In digital signage, it is important to make the content more attractive to the viewers by evaluating its current attractiveness on the fly, in order to deliver the message from the sender more effectively. Most previous works for this evaluation do not take the viewers’ feeling towards the content into account, and the content is improved manually if needed in an off-line manner. In this paper, we present a novel method which does not rely on such manual evaluation and automatically makes the content more adapted to the viewers. To this end, we take advantage of the viewers’ involuntary behaviors in front of the digital signage for online updates through the usage of a genetic algorithm.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.242.193.41

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nagao, K. and Fujishiro, I. (2013). Making Digital Signage Adaptive through a Genetic Algorithm - Utilizing Viewers’ Involuntary Behaviors.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 54-59. DOI: 10.5220/0004346100540059

@conference{visapp13,
author={Ken Nagao. and Issei Fujishiro.},
title={Making Digital Signage Adaptive through a Genetic Algorithm - Utilizing Viewers’ Involuntary Behaviors},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={54-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004346100540059},
isbn={978-989-8565-48-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Making Digital Signage Adaptive through a Genetic Algorithm - Utilizing Viewers’ Involuntary Behaviors
SN - 978-989-8565-48-8
AU - Nagao, K.
AU - Fujishiro, I.
PY - 2013
SP - 54
EP - 59
DO - 10.5220/0004346100540059

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.