• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.164-171
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• 2022

The aesthetics of Japanese animation have developed in earnest since Tezuka Osamu produced TV animation . This is because provided the aesthetic foundation of '3-comma animation' and 'limited animation techniques based on 8 frames per second. In fact, Miyazaki Hayao and Takahata Isao of Ghibli studio have expanded the influence of the Japanese animation industry to the world through the production of feature animation based on 3-comma animation. Inoue Toshiyuki, who participated as an animator in many works representing the Japanese animation industry, also said that the essential feature of Japanese animation aesthetics is 3 comma animation that shows the impressive movement of the character concisely. As such, 3-comma animation technique is the main aesthetic background that has led to the industrial development of Japanese animation.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.147-155
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• 2022

This article analyzed the new changes Hong Kong director Lin Chaoxian has brought to theme films of Mainland China and the factors affecting these changes. The objects of the analysis are Lin Chaoxian's films (2016), (2018), and (2020). Compared with Mainland China directors suffering from heavy political burden, Dante Lam directed theme films based on the model from commercial films and adopted lots of elements from Hong Kong films. There, the ideology expression in these theme films was no longer rigid, but a diversified value embodiment resonating with the audience. At the same time, these theme films achieved higher commercial value, in which the stereotyped and unrealistic hero images were replaced by realistic and compound characters, and the display of cool or violent action scenes contributed to lots of visual feasts. All the changes were influenced by the audience preferences and the development of private enterprises in Mainland China.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.30-44
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• 2021

The study analyzed Sofia Coppola's early films and to study her views about social frames on women. Moreover, the study shows the connection to Coppola's worldview on women in her other films; and . The study also analyzed the cinematography in her films as Coppola did not convey the messages directly. In addition, the study pursues a re-evaluation on , which was a controversial film among critics, and unravels the uncertain open-ending in . Throughout the comparative analysis, the study reveals that the two films have consistent views that do not differ from each other and that it was the progress to the growth of Coppola's worldview. The conclusion of these two films connects to another controversial content in Coppola's next film. Hence, one expects the analysis of these films to provide a better understanding of Sofia Coppola's other films.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.263-273
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• 2020

In 2019, Disney's musical film "Aladdin" was newly introduced with Princess Jasmine's theme song "Speechless," which was not featured in the animation "Aladdin" in 1992. Written as a theme song, "Speechless" expresses Princess Jasmine as a self-reliant, enterprising and dignified woman. The song made the change in Princess Jasmine's character very articulate. She has developed herself as an active and enthusiastic character from a rather passive and reserved figure. The musical film "Aladdin" has drawn much attention and love from many audiences with its own narrative and original songs, but the addition of a new theme song "Speechless", which was not in the animation in 1992, made the musical film "Aladdin" even more powerful and meaningful. The study examined the organic relationship between the musical features and narratives of the newly included theme song 'Speechless' in the musical film Aladdin. Through the analysis of the six scenes that include the musical features of the theme song "Speechless," the study looked at how the relationship between music and narratives had an influence on cinematic expression.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.101-107
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• 2021

Animation production is collaborated by many experts and gives many ideas for new and interesting video production. Interesting video production is a problem directly related to the success of the project, so it can be said that it is better to create an environment that is not burdened with technical aspects in expressing ideas. In the actual keyframe animation production environment, ideas are frequently modified to obtain better results, and techniques that are re-used so that the animation key pose data developed at the early stage of the possible stage can be rewritten without abandoning it, and functions that can temporarily change the center of gravity contribute to the productivity of animation work and greatly help the creator to improve the creative atmosphere. This study analyzes action animations implemented in computer animation software to examine the factors that hinder actual productivity, and derives the technical concepts that can contribute to the improvement of animation production productivity and the necessity of developing related tools.

• Smart Media Journal
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• v.11 no.1
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• pp.46-57
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• 2022

In this paper, multi-region based Radial Graph Convolutional Network (MRGCN) algorithm which can perform end-to-end action recognition using the optical flow and gradient of input image is described. Because this method does not use information of skeleton that is difficult to acquire and complicated to estimate, it can be used in general CCTV environment in which only video camera is used. The novelty of MRGCN is that it expresses the optical flow and gradient of the input image as directional histograms and then converts it into six feature vectors to reduce the amount of computational load and uses a newly developed radial type network model to hierarchically propagate the deformation and shape change of the human body in spatio-temporal space. Another important feature is that the data input areas are arranged being overlapped each other, so that information is not spatially disconnected among input nodes. As a result of performing MRGCN's action recognition performance evaluation experiment for 30 actions, it was possible to obtain Top-1 accuracy of 84.78%, which is superior to the existing GCN-based action recognition method using skeleton data as an input.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.145-154
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• 2022

With the real museum changing from a center of viewing to a center of experience and communication, virtual museums have become independent as well as auxiliary and alternative roles for real museums. Therefore, it is necessary to review the concept and meaning of virtual museums and analyze the attributes of each exhibition type. This paper categorizes the exhibition types of virtual museums into four categories and analyzes the interaction methods of each exhibition type. The essential characteristics of interaction subjects affect all four types, but the method of virtual expression is distinguished, and the exhibition type that actively utilizes the virtuality of exhibition space and work expands the user's experience and communication. In this study, various forms and methods of construction of virtual museums can be explored by providing characteristics and considerations for each type of exhibition during the planning and construction of virtual museums.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.3
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• pp.551-562
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• 2024

This study relates to a method and device for extracting and tracking moving objects. In particular, objects are extracted using different images between adjacent images, and the location information of the extracted object is continuously transmitted to provide accurate location information of at least one moving object. It relates to a method and device for extracting and tracking moving objects based on tracking moving objects. People tracking, which started as an expression of the interaction between people and computers, is used in many application fields such as robot learning, object counting, and surveillance systems. In particular, in the field of security systems, cameras are used to recognize and track people to automatically detect illegal activities. The importance of developing a surveillance system, that can detect, is increasing day by day.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.3
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• pp.563-570
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• 2024

This paper proposes a method to recognize and track drivable lane areas to assist the driver. The main topic is designing a deep-based network that predicts drivable road areas using computer vision and deep learning technology based on images acquired in real time through a camera installed in the center of the windshield inside the vehicle. This study aims to develop a new model trained with data directly obtained from cameras using the YOLO algorithm. It is expected to play a role in assisting the driver's driving by visualizing the exact location of the vehicle on the actual road consistent with the actual image and displaying and tracking the drivable lane area. As a result of the experiment, it was possible to track the drivable road area in most cases, but in bad weather such as heavy rain at night, there were cases where lanes were not accurately recognized, so improvement in model performance is needed to solve this problem.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.17 no.2
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• pp.48-54
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• 2017

Purpose: Fukuyama congenital muscular dystrophy (FCMD) is a rare, autosomal-recessive disorder characterized by early-onset hypotonia associated with brain malformations in dystroglycanopathy. Although the wide spectrum of congenital muscular dystrophies causes difficulty in diagnosis, correlating the genotype with the clinical phenotype can help diagnose FCMD. Here, we evaluated the correlation of targeted molecular genetic analysis of FKTN gene mutation with the FCMD phenotype. Methods: This study was conducted retrospectively with 9 subjects. Inclusion criteria included clinical symptoms characterized by early-onset hypotonia with magnetic resonance imaging (MRI) featuring brain malformations. FKTN gene-alteration analysis was performed using various FKTN gene-analysis methods, including sequencing. Results: Among the 9 subjects studied, 4 (44.4%) were male and 5 (55.6%) were female. The median age of onset of the first symptom was 3.1 months. The first symptom was a delayed milestone in 6 cases (66.7%). All 9 subjects (100%) presented with early-onset hypotonia and global delayed development. All subjects presented with cortical malformation in their brain MRIs. Of the 9 subjects, 6 subjects had previously undergone muscle biopsy and 4 cases (4/6; 66.7%) showed dystrophic or myopathic features. Pathogenic mutations causing FCMD were identified in 3 cases. Conclusions: In this study, all 3 subjects with FKTN mutations showed important MRI findings (pachygyria and cerebellar dysplasia). These data suggest that patients with characteristic phenotypes who show pachygyria and cerebellar abnormalities in brain MRIs may have a high probability of being diagnosed with FCMD.