• Smart Media Journal
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• v.10 no.2
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• pp.30-37
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• 2021

Recently, 3D contents used in various fields have been attracting people's attention due to the development of virtual reality and augmented reality technology. In order to produce 3D contents, it is necessary to model the objects as vertices. However, high-quality modeling is time-consuming and costly. In order to convert a 2D character into a 3D model, it is necessary to express it as line drawings through feature line extraction. The extraction of consistent line drawings from 2D cartoon cartoons is difficult because the styles and techniques differ depending on the designer who produces them. Therefore, it is necessary to extract the line drawings that show the geometrical characteristics well in 2D cartoon shapes of various styles. This study proposes a method of automatically extracting line drawings. The 2D Cartoon shading image and line drawings are learned by using adversarial network model, which is artificial intelligence technology and outputs 2D cartoon artwork of various styles. Experimental results show the proposed method in this research can be obtained as a result of the line drawings representing the geometric characteristics when a 2D cartoon painting as input.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.39-54
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• 2018

This study aims to expand K-Wave business. For this, it firstly investigated previous studies and pointed out limitations of the current scope of the K-Wave business. Therefore, as a theoretical background, it attempts to construct an analysis framework based on four types of creativity type model and to redefine the concept of K-Wave business, which refers to a series of business activities that create, utilize the asset, and reuse the originality of intellectual property assets. This study analyzes the business activities of K-Wave's asset creation, utilization, and talent linkage during 2013~2017. The scope of the asset creation covers the highest ranked movies, dramas, and K-pops, while the utilization of those is analyzed in cosmetics, food, and fashion industries. The personal talent is the source of new K-Wave value creation and Webtoon IP is analyzed. As a result, in the case of movies and dramas, the representative market is China, which is the result of the efforts to avoid the continuation of China's regulation and the development of local OTTs. It is confirmed that the product development for Chinese consumers is active as activities of K-Wave utilization in cosmetics, food and fashion. Interesting is that new K-Wave content is circulated in the beauty sector. Finally, it is confirmed that Webtoon IP, which has been structured with a solid story in individual talent, is the origin of new K-Wave asset creation such as movies and dramas.

• Journal of the Korea Computer Graphics Society
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• v.23 no.2
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• pp.11-22
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• 2017

This study proposes IMToon(IMage-based carToon) which is an image-based cartoon authoring system using an image processing algorithm. The proposed IMToon allows general users to easily and efficiently produce frames comprising cartoons based on image. The authoring system is designed largely with two functions: cartoon effector and interactive story editor. Cartoon effector automatically converts input images into a cartoon-style image, which consists of image-based cartoon shading and outline drawing steps. Image-based cartoon shading is to receive images of the desired scenes from users, separate brightness information from the color model of the input images, simplify them to a shading range of desired steps, and recreate them as cartoon-style images. Then, the final cartoon style images are created through the outline drawing step in which the outlines of the shaded images are applied through edge detection. Interactive story editor is used to enter text balloons and subtitles in a dialog structure to create one scene of the completed cartoon that delivers a story such as web-toon or comic book. In addition, the cartoon effector, which converts images into cartoon style, is expanded to videos so that it can be applied to videos as well as still images. Finally, various experiments are conducted to verify the possibility of easy and efficient production of cartoons that users want based on images with the proposed IMToon system.