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Computer vision and digital signage

Authors: Batagelj, Borut; Ravnik, Robert; Solina, Franc;

Computer vision and digital signage

Abstract

Digital signage in combination with computer vision oers an eective platform for out-of-home advertisement which can oer accurate audience measurement data. Such intel- ligent digital signage systems can also adapt the displayed contents to the actual audience in real time and even enable simple non-contact human computer interaction. In this paper we would like to show how digital signage can be made much more eective by using computer vision technology. Computer vision methods for face detection, classification and recognition of people's behavior in front of digital displays can provide some objective data about the people (demographic data such as age and sex for example) who have observed the messages displayed. Furthermore, computer vision can be used for a non-contact way of user interaction with the displayed content.

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Slovenia
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green