• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.2
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• pp.96-109
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• 2024

The purpose of this study is to propose a method for evaluating the similarity of Show gardens using Deep Learning models, specifically VGG-16 and ResNet50. A model for judging the similarity of show gardens based on VGG-16 and ResNet50 models was developed, and was referred to as DRG (Deep Recognition of similarity in show Garden design). An algorithm utilizing GAP and Pearson correlation coefficient was employed to construct the model, and the accuracy of similarity was analyzed by comparing the total number of similar images derived at 1st (Top1), 3rd (Top3), and 5th (Top5) ranks with the original images. The image data used for the DRG model consisted of a total of 278 works from the Le Festival International des Jardins de Chaumont-sur-Loire, 27 works from the Seoul International Garden Show, and 17 works from the Korea Garden Show. Image analysis was conducted using the DRG model for both the same group and different groups, resulting in the establishment of guidelines for assessing show garden similarity. First, overall image similarity analysis was best suited for applying data augmentation techniques based on the ResNet50 model. Second, for image analysis focusing on internal structure and outer form, it was effective to apply a certain size filter (16cm × 16cm) to generate images emphasizing form and then compare similarity using the VGG-16 model. It was suggested that an image size of 448 × 448 pixels and the original image in full color are the optimal settings. Based on these research findings, a quantitative method for assessing show gardens is proposed and it is expected to contribute to the continuous development of garden culture through interdisciplinary research moving forward.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.37 no.3
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• pp.108-118
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• 2019

Appreciating gardens in garden show has its meaning in appreciating concepts and ideas of artists, hidden inside of garden, as formative arts, as well as the beauty of the nature. This study is aimed to understand the intension of artists in visual expression through formative media in the gardens by assessing structure of visual narrative in the space with 20 artworks among the ones presented in 2018 Taehwagang Garden Show. The formative structure is delivered as contents and forms through formative media and formative language. Thus, for analysis on the artworks, the researcher assessed expressive characteristics of the media, through visual and space language, that forms the formative structure in the contest of narrative structure expressed in the gardens and findings of the analysis are as follows. First, for intertextuality obtained through media image, most of the artworks delivered message through 'figure image.' This means, the concept is delivered as 'affinity of actual objects' through the media and associated 'meaning and meaning action' are expected. Second, the characteristics of signs to show symbolism in the gardens were categorized into 'icon'. 'index' and 'symbol'. The results showed that most of the artworks expressed common characteristics between image and meaning, using 'icon' and 'symbol'. Third, as space formation components, based on formative principles, the components of 'dominant' and 'subordinate' roles were defined as the key components for meaning delivery. Also, it was understood that 'space configuration with overlapped image' and 'space configuration with transparency' were adopted to strengthen conceptional layers. Forth, for space occupation types, there were mostly central hall type, corridor type and passage space type and for open space type, the entire space area was conceptualized, instead of certain object. The circulation line was defined in the frequency order of circular type, pass type and return type. The study on the expressive characteristics of visual narrative in garden design is meaningful as it could build base data for the method of spatial design for visual development of concepts in the future.