• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.251-258
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• 2010

'Naturalness' is the important "ness" which is a key factor in image quality assessment. 'Naturalness' is a representive factor depending on the context of the image which arouses different emotions. The Image Quality Circle was split into two steps. The first step is predicting the visual perceptual attribute which are lightness, colourfulness, hue and contrast. The next step is SSE which is dependent to image contents. In this study the image contents are grouped in genres. The images were rendered using four different colour attributes which are lightness, contrast, colourfulness and hue. Using a scale, the score of image quality and SSE was asked to each participant for all rendered images. A seven-point category scale of increasing amount of "ness" is used as a quantitative adjectives sequence. The image quality model was built by combining the SSEs for each scene. The SSEs, where vividness is common, are considered as independent variables to predict the image quality score. Then the vividness model was built using colour attributes as variables to predict the vividness of each scene (genre). Vividness is an important factor of naturalness which the meaning is different for all scenes that links the naturalness and image quality. The vividness meaning was different for each scene (genre). Therefore, the colour attributes that express the vividness would depend on the image content.

• Korean journal of communication and information
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• v.41
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• pp.200-231
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• 2008

This study content-analyzed Korean cable television programs aired from Feb. 6 to Feb. 19, 2007, focusing on the contextual variables linked to violent acts. A total of 657 PAT's (perpetrator-action-target) in the 68 programs sampled were analyzed for characters' age, sex, type, relationship, and motivation, humorization, punishment for their violent acts, and finally reality of violence. According to the results, (1) most violence occurred among male characters, who were at their ages between 20 and 39; (2) more than half of the total violent acts happened among acquaintances including family members; (3) anger, retaliation, personal or group interest, and violence for fun were ranked at the top tiers of the motivation list; (4) most violences were overlooked without punishment; (5) and about 80% of the whole violence were realistic. In terms of program types, (1) female perpetrator and victims appealed more often in drama than the other genres; (2) violence among acquaintances and simple fun as motivation were prevalent most in entertainment programs; (3) every violent act in children's programs was done by unrealistic characters. According to the analysis by program ratings, (1) while least violence appeared in '19 and older', all of the violent acts were portrayed as realistic; (2) humorization were most prevalent in the 'everyone' rating; (3) and female perpetrators and victims appealed most in the programs rated as '15 and older'. Generally, various contextualized violences displayed different distributions according to program types and ratings. The qualitative features of the current findings about cable television violence provide a fundamental data for future studies, which will explore the subsequent effects of violent media contents.

• The KIPS Transactions:PartB
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• v.10B no.3
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• pp.287-296
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• 2003

There has been much research focused on collaborative filtering technique in Recommender System. However, these studies have shown the First-Rater Problem and the Sparsity Problem. The main purpose of this Paper is to solve these Problems. In this Paper, we suggest the user's predicting preference method using Bayesian estimated value and the associative user clustering for the recalculation of preference. In addition to this method, to complement a shortcoming, which doesn't regard the attribution of item, we use Representative Attribute-Neighborhood method that is used for the prediction when we find the similar neighborhood through extracting the representative attribution, which most affect the preference. We improved the efficiency by using the associative user's clustering analysis in order to calculate the preference of specific item within the cluster item vector to the collaborative filtering algorithm. Besides, for the problem of the Sparsity and First-Rater, through using Association Rule Hypergraph Partitioning algorithm associative users are clustered according to the genre. New users are classified into one of these genres by Naive Bayes classifier. In addition, in order to get the similarity value between users belonged to the classified genre and new users, and this paper allows the different estimated value to item which user evaluated through Naive Bayes learning. As applying the preference granted the estimated value to Pearson correlation coefficient, it can make the higher accuracy because the errors that cause the missing value come less. We evaluate our method on a large collaborative filtering database of user rating and it significantly outperforms previous proposed method.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.861-869
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• 2020

We introduce the application that automatically makes several images stored in user's device into one video by using the different climax patterns appearing for each film genre. For the classification of the genre characteristics of movies, a climax pattern model style was created by analyzing the genre of domestic movie drama, action, horror and foreign movie drama, action, and horror. The climax pattern was characterized by the change in shot size, the length of the shot, and the frequency of insert use in a specific scene part of the movie, and the result was visualized. The model visualized by genre developed as a template using Firebase DB. Images stored in the user's device were selected and matched with the climax pattern model developed as a template for each genre. Although it is a short video, it is a feature of the proposed application that it can create an emotional story video that reflects the characteristics of the genre. Recently, platform operators such as YouTube and Naver are upgrading applications that automatically generate video using a picture or video taken by the user directly with a smartphone. However, applications that have genre characteristics like movies or include video-generation technology to show stories are still insufficient. It is predicted that the proposed automatic video editing has the potential to develop into a video editing application capable of transmitting emotions.

• Journal of the Korean earth science society
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• v.32 no.1
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• pp.84-98
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• 2011

The study investigated the linguistic characteristics of middle school students' writing on the themes of earth science through analysis of its genre and register. Data for analysis included $7^{th}$ grade and $9^{th}$ grade students' writings about 'global warming' and 'classification of rocks'. The results of this study include: First, many students were not accustomed to writing in genre, especially exposition genre. Second, in terms of ideational meaning, the material verbs representing action or doing were more dominant than relational verbs that are related to the attribute or definition of things, and additional logical relations were predominant. Third, regarding interpersonal meaning, agents, emotions, subjective opinions appeared in the writings and students did not express their ideas conclusively and revealed feelings of doubt and uncertainty about their knowledge. Fourth, as for textual meaning, most students listed fragments of information using additional conjunctions in simple structures and were not accustomed to writing texts with organizing structures, logical patterns, cohesion, and coherence. From these results, we argued that the scientific writings should be emphasized in science learning that aims to foster scientific literacy. In addition, we discussed the necessity of improving science teachers' perceptions on scientific writing as well as setting up a specific plan in the national curriculum.

• Cartoon and Animation Studies
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• s.23
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• pp.35-50
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• 2011

In a "Culture Content" industry, the character takes an important role to make a strong storyline. Especially in the field of cartoon which is composed with script and pictures, the role of character is more significant. There are few ways to analyze the character, and "Enneagram" is one of them. In this thesis paper, the author uses this Enneagram to analyze the character. Enneagram is a tool that divides characters into 9 categories of personality. In the year of 2001, South Korea published the standardized Enneagram test called KEPTI. By using the division chart of Enneagram, it is much easier to analyze the character's personality type in the cartoon. Also, this tool makes it possible to understand which character type is suitable for certain role and genre. Although it is hard to say the Enneagram tool represents all existing personalities, it would be definitely helpful for someone who tries to create or to set up a new character.

• Cartoon and Animation Studies
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• s.25
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• pp.87-108
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• 2011

Published comics are widely recognized as a popularity-gaining media as well as Soap opera and the movies, and it also has a established characteristic of category. However, compare to the multimedia such as the movies, soap opera and playes, the research on direction is not yet satisfactory This research mainly tries to investigate on, first, whether the theoretically classified functions do actually practice their parts or not, and else, what other additional functions should be considered, by classifying the set up of basic direction functions, angles and range, which the most-cited angle and distance notion of 'Ahn Su Cheol' in comic education field. First, although we tried to approach with the expectation of angle and distance set up that will have a high frequency of certain set ups according to the atmospheres of comics of genre, unlike the expectation, they are rather displayed depending on the personal taste of the writers. The functional aspects of angles and distance set up are the fixing that are only limited in the space of representation, and it is the set up of physical space that should come first as the function of expressing the intensity. As we investigate the characteristics of comic direction, this research will help the range of comic direction to be broadened.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.121-125
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• 2010

최근 온라인게임, e-Book, 모바일콘텐츠, 포털 등 IT 기반의 새로운 서비스 산업으로서 디지털콘텐츠 산업이 급성장하고 있다. 또한, 과거 엔터테인먼트 위주의 콘텐츠산업이 미래에는 제조, 서비스를 포함한 전 산업영역에 체화융합되어 확산되고, CT 및 IT 기반의 새로운 콘텐츠 산업이 급성장할 것으로 전망되는 등 융합형 콘텐츠에 대한 관심이 증대되고 있다. 정부에서도 신성장동력으로서의 융합형 콘텐츠 산업에 주목하여, 관련 산업을 발굴육성하는데 정책적 관심을 기울이고 있다. 기존의 콘텐츠 분류체계는 영화, 음악, 방송 등 장르 중심적이어서 관련 기술의 발전 및 융합현상을 제대로 반영하지 못하는 한계점을 가지고 있다. 따라서 미래 정책추진의 기반(base)로서 효과적으로 활용되고, 콘텐츠 분야의 외연확장을 포괄하는 새로운 분류체계(taxonomy)의 정립이 요구되는 상황이다. 이에 본 고에서는 미래 정책추진 및 산업활성화에 초점을 맞추어 기존 분류체계의 한계점을 극복하는 차세대 융합형 콘텐츠 산업에 대한 새로운 분류체계를 제시하고자 한다.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.2
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• pp.143-146
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• 2017

In this paper, a novel approach is proposed to improve the performance of speech/music classification using the recurrent neural network (RNN) in the enhanced voice services (EVS) of 3GPP for hearing aids. Feature vectors applied to the RNN are selected from the relevant parameters of the EVS for efficient speech/music classification. The performance of the proposed algorithm is evaluated under various conditions and large speech/music data. The proposed algorithm yields better results compared with the conventional scheme implemented in the EVS.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.343-350
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• 2008

사람들은 다양한 매체를 통하여 음악을 청취하고 있으며, 느낌별, 장르별, 연령별, 날씨별, 시간별, 장소별, 상황별, 직업별, 악기별, 템포별 등으로 다양한 분류 방법으로 음악을 제공받고 있다. 이는 음악을 분류하는 방법들이 음악 자체에 대한 분석이나 음악을 듣는 환경에 대한 분류로만 제공되고 있기 때문이다. 같은 상황, 환경이라도 개인에 따라서 같은 음악을 듣더라도 다른 감정의 상태를 나타내기 때문에, 개인을 고려한 분류 방법이 요구된다. 본 논문에서는 인간의 성격을 통해 감정의 표현 방식에 차이가 있다는 면을 초점으로 접근하였다. 감정이 미치는 심전도에 미치는 영향과 음악이 신체와 감정에 미치는 영향들을 통해 심전도를 이용하여 개인의 성향에 따른 음원자극에 대한 반응 차이를 통해 개인의 성향이 반영된 분류 방법을 제시하고자 했다.