• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.429-437
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• 2011

Movie network as a social network shows power-law distribution that is one of distinct properties in scale-free network. We constructed movie network from 799 Korea movies that screened from 2000 to 2009 and analyzed structural properties of the network. The 799 movies was classified three groups as a spectator mobilizing power. One million spectators mobilizing power movie was denoted the first class. The best 10 movie directors who produced at least three movies for ten years and had 70% the first class movie of them were selected. We also preferred the best 20 movie actors who played at least five movies for ten years and had 70% the first class movie of them. We re-constructed core movie network that composed the best 10 directors, the best 20 movie stars, and 157 movies that were produced by the directors or were played by the movie stars. We predict a possible combination of the director and movie actor as a category of the movie that has highly spectator mobilizing power. Here, we provide insight and method for producing high spectators mobilizing power movies

• Korean Institute of Interior Design Journal
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• no.29
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• pp.203-210
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• 2001

Major companies have launched into the film industry since 1990s, which resulted in competition in facilities. In addition, restriction for the number of the prints was removed. Under these circumstances, the cinema has been transformed and developed from the established one-hall cinema into multiplex cinema with large-scaled halls. Contrary to the established cinema, modern cinema are a cultural place within easy access. They accommodate diverse social and cultural needs and their functions have been extending gradually. The waiting areas should not function only as the waiting space for the audience but also the places to attract the audience and provide them with various cultural and art information, and temporary restful break. For this study, the inter-relationship between the structure of the area and the audience are identified objectively by analyzing audience distribution and their routes within the area. The purpose of the study is to provide basic data about the design of the waiting area based on the findings above.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.168-176
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• 2010

Audience observing visual media with care experience lots of emotional transition according to characteristics of media. Enjoy, sadness, surprising, etc, a variety of emotional state of audiences is often arranged by James Russell's 'A circumplex model of affect' utilized on psychology. Especially, in various emotions, 'Uncanny' mentioned by Sigmund Freud is represented a sharp medium existing in a crack of clearly emotional conception. Uncanny phenomenon is an emotional state of changing from unpleasant to pleasant on an audience observing visual media is been aware of immoral media generally, therefore, because this is a positive state on a social taboo, we need to analyze with a scientific analysis clearly. Therefore, this study will organize James Russell's 'A circumplex model of affect' and uncanny phenomenon, will be progressed to establish a hypothesis about a state of uncanny on audiences observing visual media and analyze results of the physiological signals experiment based on ECG(Electronic Cardiogram), GSR(Galvanic Skin Response) signals with distribution, distance, and moving time in a circumplex model of affect.

• The Journal of Society for e-Business Studies
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• v.25 no.2
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• pp.49-63
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• 2020

The accurate prediction of box office in the early stage is crucial for film industry to make better managerial decision. With aims to improve the prediction performance, the purpose of this paper is to evaluate the use of machine learning methods. We tested both classification and regression based methods including k-NN, SVM and Random Forest. We first evaluate input variables, which show that reputation-related information generated during the first two-week period after release is significant. Prediction test results show that regression based methods provides lower prediction error, and Random Forest particularly outperforms other machine learning methods. Regression based method has better prediction power when films have small box office earnings. On the other hand, classification based method works better for predicting large box office earnings.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.629-632
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• 2012

클로즈 업 숏은 영화의 서사구조와 밀접한 관련이 있다. 등장인물의 얼굴을 확대하여 보여줌으로써 표정의 변화를 섬세하게 표현할 수 있다. 이를 통해 관객에게 등장인물의 감정이나 심리상태를 세밀하게 묘사해 줄 수 있다. 따라서 영화에서 클로즈 업 숏을 검출하고 분포도를 파악하는 것은 영화의 서사구조를 분석하는데 있어 중요한 데이터로 활용될 수 있다. 또한 영화의 정보 검색에 활용될 수도 있다. 본 논문에서는 얼굴 검출 기술을 활용하여 클로즈 업 숏을 자동으로 검출하여 영화의 클로즈 업숏 분포도를 계산하는 방법을 제안한다. 또한 제안한 방법을 시스템으로 개발하여 서사구조와 클로즈업 숏 간의 관계를 분석한다. 10개의 영화에 대한 실험을 통해 클로즈 업 숏이 영화의 전반부보다 후반부로 갈수록 많이 사용되는 것을 확인하였다.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06c
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• pp.421-426
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• 1998

국악전용 공연장으로 지어진 국립국악 소극장의 음향 특성을 실내 음선도, 암소음, 잔향시간 및 음압분포에 의해 분석.평가하였다. 연구결과 무대 앞부분과 객석모서리에서 음선경로차가 17m 이상으로 나타나 회주공조현상의 발생이 예측되며 남부순환도로와 인접하여 소극장내에 높은 암소음이 측정되었다. 잔향시간의 측정결과 과다한 실내 흡음력으로 인해 공석시에 계획값 보다 0.8초 정도가 짧으며 이는 관객입장시 더욱 악화될 것이 예측되어 1석당 실용적을 증가와 실내 흡음력을 가능한 줄일 필요가 있다. 음압레벨은 음악당 전 객석에서 고른 음압분포가 보이고 있으나 무대 음원에서 객석전열 사이에 초기 음압감쇠가 크게 나타나 무대주변의 음압 보강이 요구된다.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.261-270
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• 2020

In film, color is a tool for storytelling and a metaphor for a story's theme. This study constructs efficient and objective data by analyzing color images of movies delivered to the audience. This Research the visual perception process of color in films and studies the processes accepted by the audience. Through this research process, we examine the emotional response caused by the visual stimulus of film color and quantify the visual factor through color in the film as a factor that effectively induces the emotional response of viewers who watch the movie. This study analyzes the mise-en-scene of Wes Anderson's film, Royal Tenenbaum, and studies the role of communication in cinematic colors. Quantitative analysis of color distribution data is performed using computer color analysis program on the colors displayed through 10 chapters of mise en scene. Through color analysis, it was analyzed that Anderson composed the movie scenes in red and yellow red (YR) with low saturation and medium brightness. Through this analysis, we study how color is used throughout the film and how the quantitative form of its use is to be used as the psychological factor controlling audience's emotion.

• Korean journal of communication and information
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• v.51
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• pp.47-64
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• 2010

Korea film market is heterogeneously divided market that comes from competition between Korean movies and foreign imported movies. This research empirically analyzes genre differentiation in Korean film market with three dimensions (film audience preference, production and import, box office hit). The results indicate that, first, audiences who preferring Korean movie preferred 'cultural factor oriented genres', but audiences who preferring foreign movie preferred 'high budget oriented genres'. Second, imported foreign movie genre distribution was little bit different with box office hit genre of foreign movies. Foreign movie was imported not only hit genre (action genre) but also low cost genre (comedy and Drama/melodrama genre), but most of all Korean film was produced in box office hit genres (comedy and Drama/melodrama genre), third, Korean movies hit a box office in comedy and Drama/melodrama genre, but foreign movies hit a box office in action and SF/Fantasy genre. Those results show that Korea movies' genres are concentrated very much in cultural factor oriented genre. Those results can give implication of diversity policy and movie production strategy of Korea film market.

• Design Convergence Study
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• v.14 no.4
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• pp.1-16
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• 2015

This study aims to understand distribution of the sentimental words on each genre and find relationship between box office performance and sentimental words in movie review using 673 movies that have more than 1,000 reviews. For the analysis, crawling movie reviews and made data was composed movie genre, movie name, sales, attendance, screen, normal attendance, 7 sentimental words. For analysis results, we used correlation analysis and Parallel coordinates. As a results, First, the highest box office value of the genre is comedy and the lowest box office value of the genre is horror through analyze box office on each genre. Secondly, Movie genre of fantasy feel a lot of boring emotion and Movie genre of SF feel a lot of anger emotion even if 'Happy' and 'Surprise' have highest sentiment value on every genre. Third, We found 'Anger' increase sentimental value when 'Disgust' increase sentimental value and 'Surprise' decrease sentimental value when 'Happy' increase sentimental value through analyze correlation relationship between sentimental words using total data. Fourth, We found 'Happy' have linear relationship between box office and 'Fear' have non-linear relationship between box office through analyze sentimental words according to box office performance.

• The Korean Journal of Applied Statistics
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• v.35 no.1
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• pp.19-33
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• 2022

With the explosive growth of social media, its abundant text-based data generated by web users has become an important source for data analysis. For example, we often witness online movie reviews from the 'Naver Movie' affecting the general public to decide whether they should watch the movie or not. This study has conducted analysis on the Naver Movie's text-based review data to predict the actual ratings. After examining the distribution of movie ratings, we performed semantics analysis using Korean Natural Language Processing. This research sought to find the best review rating prediction model by comparing machine learning and deep learning models. We also compared various regression and classification models in 2-class and multi-class cases. Lastly we explained the causes of review misclassification related to movie review data characteristics.