• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.389-397
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• 2023

This study examines how macro-economic conditions, fashion momentum, and inter-genre competition affect movie genre's popularity, thus shaping fashion trends in the feature film market in Korea. Using panel data analysis of genre-specific audience sizes with 6 genre cateories and 132 monthly time points, we found that favorable economic conditions generate the fashion trend in the action/crime genre, while the deterioration of the economic conditions leads to the decline of action/crime genre. The finding implies that economic situations influence cultural consumers' psychological states, which in turn shape the fashion trend in certain direction. Furthermore, we found that the action/crime genre has a greater fashion momentum and its competitive power is stronger than other genres, suggesting that this genre has longer fashion cycle even if other genres rise to the top in their popularity. We argue that such enlengthened fahion cycle and competitive stength of the action/crime genre are associated with its breadth of niche width and audience loyalty. Scholarly and practical implications are discussed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.825-834
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• 2023

The demands of people who purchase fashion products on Internet shopping are gradually increasing, and attempts are being made to provide user-friendly images with 3D contents and web 3D software instead of pictures and videos of products provided. As a reason for this issue, which has emerged as the most important aspect in the fashion web shopping industry, complaints that the product is different when the product is received and the image at the time of purchase has been heightened. As a way to solve this problem, various image processing technologies have been introduced, but there is a limit to the quality of 2D images. In this study, we proposed an automatic conversion technology that converts 2D images into 3D and grafts them to web 3D technology that allows customers to identify products in various locations and reduces the cost and calculation time required for conversion. We developed a system that shoots a mannequin by placing it on a rotating turntable using only 8 cameras. In order to extract only the clothing part from the image taken by this system, markers are removed using U-net, and an algorithm that extracts only the clothing area by identifying the color feature information of the background area and mannequin area is proposed. Using this algorithm, the time taken to extract only the clothes area after taking an image is 2.25 seconds per image, and it takes a total of 144 seconds (2 minutes and 4 seconds) when taking 64 images of one piece of clothing. It can extract 3D objects with very good performance compared to the system.