Title: Research on the design of digital media art display platform based on dynamic visual recognition
Authors: Qingyun Zou
Addresses: Teaching and Research Office of Visual Communication, School of Art and Design, Jingdezhen Ceramic Institute, Jingdezhen 333403, China
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.
Keywords: visual recognition; digital media; recognition system; visual image.
International Journal of Arts and Technology, 2020 Vol.12 No.2, pp.118 - 127
Received: 16 Mar 2019
Accepted: 05 Sep 2019
Published online: 07 Jul 2020 *