Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016)

Advertisement Evaluation Based On Visual Attention Mechanism

Authors
Xiao Yu, Peng Gan, Yuling Sun
Corresponding Author
Xiao Yu
Available Online January 2017.
DOI
10.2991/icemeet-16.2017.159How to use a DOI?
Keywords
Advertisement evaluation, visual attention, saliency detection, fixations.
Abstract

Evaluation methods of advertisement design are important in Advertising, This paper proposed a novel approach to advertisement evaluation based on visual attention. Firstly saliency detection algorithm is used to detect the salient region of advertisement, then an advertisement is determined as attractive if the detected salient regions are overlapped with the interested regions of the advertisement. Based on the salient regions, the fixations are generated in sequence combined with the competition mechanism of WTA and inhibition of return mechanism. The fixations reflects the intensity of each salient region in the advertisement, which determines the priority of the visual effect on each visual element. The experimental result shows that this evaluation method can basically simulate the attention mechanism of human visual system to evaluate the advertisement objectively.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2017
ISBN
10.2991/icemeet-16.2017.159
ISSN
2352-5398
DOI
10.2991/icemeet-16.2017.159How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiao Yu
AU  - Peng Gan
AU  - Yuling Sun
PY  - 2017/01
DA  - 2017/01
TI  - Advertisement Evaluation Based On Visual Attention Mechanism
BT  - Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016)
PB  - Atlantis Press
SP  - 765
EP  - 772
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemeet-16.2017.159
DO  - 10.2991/icemeet-16.2017.159
ID  - Yu2017/01
ER  -