TY - GEN
T1 - Making digital signage adaptive through a genetic algorithm
T2 - 8th International Conference on Computer Vision Theory and Applications, VISAPP 2013
AU - Nagao, Ken
AU - Fujishiro, Issei
PY - 2013/5/31
Y1 - 2013/5/31
N2 - 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.
AB - 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.
KW - Digital signage
KW - Genetic algorithm
KW - Human behavior recognition
KW - Image processing
UR - http://www.scopus.com/inward/record.url?scp=84878233041&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878233041&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84878233041
SN - 9789898565471
T3 - VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
SP - 54
EP - 59
BT - VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
Y2 - 21 February 2013 through 24 February 2013
ER -