Research on the design of digital media art display platform based on dynamic visual recognition
by Qingyun Zou
International Journal of Arts and Technology (IJART), Vol. 12, No. 2, 2020

Abstract: With the development of digital media, dynamic visual recognition has gradually replaced the traditional visual recognition. An recognition system is needed to identify visual images. This study designed a multi-sensory based booth recognition system, which was composed of visual recognition, behaviour recognition and concept recognition. The three aspects were analysed according to the actual situation of different booths. SGY coefficient, sensory load index and concept cognition were used to judge the visual and behaviour recognition performance of the system. Compared with the traditional recognition system, the designed system has a good recognition performance in these three aspects and wide application values.

Online publication date: Tue, 21-Jul-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Arts and Technology (IJART):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com