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Research on Regional Characteristic Art Image Recognition and Brand Building Strategy Based on Linear Discriminant Computational Analysis under Cultural and Tourism Resource Integration

By: Wei Wang1, Fufang Zha2, Chunmei Huang3
1School of Art, Anhui University of Finance and Economics, Bengbu, Anhui, 233030, China
2School of Fine Arts and Design, Hefei Normal University, Hefei, Anhui, 230000, China
3School of Financial Management, Hefei College of Economics and Applied Sciences, Hefei, Anhui, 230000, China

Abstract

In order to take the advantage in the market competition under the integration of cultural and tourism resources, the only way to open the cultural and tourism market and increase the popularity is to study the regional characteristics in depth and shape a distinctive and unique art tourism image and brand. In this paper, the VGG19 network model is used as a benchmark, so as to extract the multi-scale features of regional characteristic art image, and then introduce linear discriminant analysis to downsize the data of tourists’ comment images, and then construct a regional characteristic art image recognition model by combining the loss function. The validity of the model is analyzed by self-constructed dataset. Based on the identification results of the regional characteristic art image, the regional characteristic brand construction system is constructed by combining the regional brand culture, and the strategies related to the regional characteristic brand construction are proposed. Relying on policy leadership, planning guidance, technical empowerment and publicity optimization, it can provide new opportunities for regional characteristic art brand construction under the integration of cultural and tourism resources, thus helping the highquality development of regional characteristic cultural and tourism industry.