Analysis And Optimization Of Rural Tourism Image Based On Tourist Photo Big Data

The competition among tourist destinations is to a large extent an image competition.An attractive and unique rural tourism image is particularly important,which directly determines the sustainable development of rural tourist destinations.Photos are an important window to understand the ideology of tourists and an important medium to understand the image of a destination,and play an important role in the image of rural tourism.With the popularization of mobile Internet and the accelerated development of artificial intelligence technology,image analysis methods represented by deep learning in particular have brought new opportunities for rural tourism image research.This study uses Wuyuan,Jiangxi as a case site for empirical analysis,and uses photos uploaded by tourists to social media as the main data source.It tries to combine traditional rural tourism image practice research with deep learning-based visual analysis methods to build a relatively complete set The effective method system of rural tourism destination image research systematically locates and describes the overall picture of Wuyuan rural tourism image.The main research is divided into two parts.In the first part,based on the deep learning technology,the construction elements,aesthetic quality and visual characteristics of the perceived image of Wuyuan rural tourism are explored,the mechanism is explored,and the spatial characteristics of the perceived image are further analyzed.In the second part,by analyzing the gap between professional generated photos and tourist generated photos,a set of scientific and effective rural tourism projection image photo selection schemes that integrate multiple indicators are established to assist the marketing of rural tourism destinations.The main conclusions are as follows:(1)Although the construction scenes of the perceived image of each rural tourist destination in Wuyuan have their own biases,the construction of the perceived image as a whole has significant homogeneity,and no tourist destination has a complete monopoly in a certain type of tourism resources.(2)Each tourist destination has its own visual characteristics,and shows differences in different perception image types.External pastoral scenery tourism resources have high visual aesthetics quality,but due to the ubiquity and undifferentiated development of tourist destinations,the visual perception of tourists is convergent.(3)The perceived image of architectural humanities has a low visual aesthetic quality.However,as the carrier of traditional cultural values in Wuyuan’s rural areas,ancient architectural relics are the most important identification symbols for rural tourism and have high visual uniqueness.(4)In terms of space,the uniqueness and accessibility of the visual image of Wuyuan rural tourism destinations are mainly high-high,low-low positive aggregation types,while the visual aesthetic quality and accessibility are high-low,low-High-negative aggregation types are mainly distributed.(5)This study uses a combination of subjective and objective methods,and comprehensively considers factors such as the significance of the scene in the photo,the degree of distinction,aesthetic quality,technical quality,and time.The marketing picture selection program constructed is highly scientific and manipulable.In addition,the rural tourism perception image analysis system constructed in this research based on deep learning and photo big data analysis can deepen the understanding of the connotation and essence of the rural tourism image,and further explore the differences or differences in the perception of the image in the process of rural tourism image construction.The important factors in the formation of similarity give certain thinking and inspiration to the differential development of related rural tourism destinations.