• Journal of Fashion Business
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• v.18 no.4
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• pp.80-96
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• 2014

The purpose of this study is to consider the expression of costume through the review of cinema costumes and to provide the model of cooperation between fashion and movie industry by analysis of collaboration with fashion brands in the movie . The subjects are the 1974 film directed by Jack Clayton and the 2013 version by Baz Luhrmann. Cinema Fashion was studied by analyzing the costumes of the two main characters, Gatsby and Daisy, in each scene. Gatsby's costume appeared as a model of traditional American classic suit, sensitive G-G look that symbolizes social success and traditional casual style that reflects upper-class life style. Daisy's costume expressed pastel toned luxury flapper look, oriental art deco style, and prestigious jewelry representing high class. The collaborations with fashion brands were carried out with Ralph Lauren and Cartier in 1974 film, and Brooks Brothers, Prada, and Tiffany in 2013. The value of prestige brands that matched the images of the movie was utilized, but marketing strategies for the promotion of fashion goods were not enough in 1974 version. On the other hand, in 2013 film, the effects of collaboration of the movie and fashion brands were forecasted sufficiently and marketing campaigns for promotion were performed in a various ways. The characteristics of collaborations were as follows: (1) the usage of prestige brands value, (2) collections planning and promotion using the stories of a movie, (3) the usage of multidirectional digital media, and (4) multi-dimensional promotion using entertainment factors. In collaborations with the movie, fashion brands could make cooperative relationship to produce the positive effects for promotion and prestige image strategies and draw attention of the people to the movie and fashion.

• Asia Marketing Journal
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• v.15 no.1
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• pp.155-168
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• 2013

This study describes consumers' movie choices in conjunction with other group members and attempts to reassess the effect of the online word of mouth (WOM) source in a joint decision context. The tendency of many people to go to movies in groups has been mentioned in previous literature but there is no modeling research that studies movie choice from the group decision perspective. We found that ignoring the group movie-going perspective can result in a misunderstanding, especially underestimation of genre preference and the impact of the WOM variables. Most of the studies to measure online WOM effects were done at the aggregate level, and the role of online WOM variables(volume vs valence) is mixed in the literature. We postulate that group-level analysis might offer insight to resolve these mixed understanding of WOM effects in the literature. We implemented the study via a random effect model with group-level heterogeneity. Romance, drama, and action were selected as genre variables; valence and volume were selected as online WOM variables. A choice-based conjoint survey was used for data collection and the models was estimated via Bayesian MCMC method. The empirical results show that (i) both genre and online WOM are important variables when consumers choose movies, especially as group, and (ii) the WOM valence effect are amplified more than the volume effect does as individuals are engaged in group decision. This research contributes to the literature in several ways. First, we investigate movie choice from a group movie-going perspective that is more realistic and consistent with the market behavior. Secondly, the study sheds new light on the WOM effect. At group-level, both valence and volume significantly affect movie choices, which adds to the understanding of the role of online WOM in consumers' movie choice.

• Journal of the Korean Society of Costume
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• v.55 no.4 s.94
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• pp.107-123
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• 2005

In this thesis, I tried to compare and analyze the characteristics of the costume worn by leading figures of French movie 'Dangerous Liaison' and Korean movie 'The Scandal'. I compared the costumes they wear with the costumes of 18th century Fran[e and also tried to analyze how the costumes represent the psychological status of the persons in the movie. Since these two movies are based on the same original novel, the major figure's characters, socio-economic status and the situations they faced are similar but the physical background are very different, that is Fran[e and Korea. The analysis of the costume worn by similar characters in the two movies show differences due to the intention of tile producer's. The costumes used in Scandal shows much more use of varied colors to represent the characters of the major roles while Dangerous Liaison more faithfully follows the evidences of the costume used in the period in France. As seen from the result of this analysis, we can deduce that the costumes used in the movie not only have the simple role of clothes but also itforms the image of the figure in the movie representing the social and economic status of the person who wears them. Because of these demands, the designer should posses profound knowledge of history of the costumes of the period as well as the creativity to harmonize them with the atmosphere that the movie intend to appeal.

• 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.

• Journal of the Korean Society of Costume
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• v.48
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• pp.133-150
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• 1999

In future what kind of costume do we wear\ulcorner We can guess it is in advance through movie. Movie is a comnipresent medium and a mode of expression that reflect a distintive feature of the times like fashion. In many case costume design which belongs to a special era is based on the historic costumes but ostume design for future movie depends on the creativity of costume designer and director. Therefore it is interesting to research how costume designer get his/her design concept for future ccostume in movie how he/hse express his/her design concept through his/her costume and can we convince the design comes true practically in future. In this study I analyze the costume design of masterpieces among SF Film: (Metropolis/1926) (2001: A Space Odyssey/1968) (Star Wars/1977) (Blade Runner/1982) (The 5th Element/1977) Because this study is analyzed not through the original article but just through movie it has some limitation in exact materials or color.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1997.11a
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• pp.39-43
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• 1997

본 논문에서는 ActiveMovie와 같은 stream data 기반의 library에서 실시간으로 사용될 수 있는 영상 특수효과 filter들을 소개하고, 알고리즘 개발 및 구현방법에 대해 기술한다. ActiveMovie는 기본적으로 mpeg decoder 및 Video for Windows(.avi file) decoder를 제공하여 프로그래밍을 수월하게 한다. 또한 각 module에 filter라는 개념을 도입하고 filter graph라는 구조를 이용하여 filter의 추가, 삭제를 용이하게 한다. 본 논문에서는, 디지털 영상 특수효과 중에서 Mosaic, Wind, Ghosting 등의 point processing filter들을 실시간으로 처리하기 위한 고속의 알고리즘을 제안한다. 제안하는 알고리즘은 픽셀의 포인터를 특정 위치로 이동시키지 않고 단순히 주소값을 하나씩 증가시키는 연산을 이용하여 실시간 특수효과를 얻을 수 있도록 한다. 또한 이와 같은 특수효과 알고리즘들을 ActiveMovie환경에서 구현함으로써 제안된 기법에 의하여 실시간 동영상 특수효과 처리가 가능함을 입증한다.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.221-229
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• 2020

This study aims to find out predictors of a movie's eventual box office, focusing on a movie's box office rank on an opening day. For an empirical analysis, I use data of 794 commercial movies released in the Korean theatrical exhibition market during the recent five years(2013~2017). The regression analysis shows that being box office number one on an opening day has statistically significant impact on a movie's final box office. A movie's quality, measured by audience's review, does not give significant impact on top1 movie's final success. Indexes such as increase of showing number on Sunday are strongly related to a movie's economic success. The additional analysis on box office number one movie on an opening day, totally 158 movies, finds that box office growth rate on a second week is strongly related to a movie's final success. Lastly, correlation coefficient of a movie's opening day box office and final box office does not show consistent growth when the coefficient is compared yearly. This study might have meaning in that it proposes new box office predictors and shows the relation of the indexes and a movie's final performance empirically.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.443-449
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• 2014

Preferences of users on movies are observables of various factors that are related with user attributes and movie features. For movie recommendation, analysis methods for relation among users, movies, and preference patterns are mandatory. As a relational analysis tool, we focus on the Infinite Relational Model (IRM) which was introduced as a tool for multiple concept search. We show that IRM-based co-clustering on preference patterns and movie descriptors can be used as the first tool for movie recommender methods, especially content-based filtering approaches. By introducing a set of well-defined tag sets for movies and doing three-way co-clustering on a movie-rating matrix and a movie-tag matrix, we discovered various explainable relations among users and movies. We suggest various usages of IRM-based co-clustering, espcially, for incremental and dynamic recommender systems.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.638-649
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• 2013

This study focuses on analyzing the trend of Korean movies and the issues caused by industrialization and the alternatives. The results are as follows: first, there does not exist distinctive genre movie as most of the movie producers concentrate on thoughtless genre fusion of movie, simply hoping for box office success. Second, Giant companies that has large amounts of money and distributors tend to monopolize production, distribution, and running of movie. Consequently, the development of diversity and artistry is absolutely impeded. Third, the structure of Korean movie industry make some well-known movie stars survive the film world and staff members and actors except them face economic difficulty. The solution plans for the problems mentioned above can be drawn like this; first, genre film with distinctive features should be developed. Second, the monopolistic structure of the screen should be changed. Legal organizations are required to redesign the system of unfair Korean film industry. Third, it is suggested that quantitative expansion of special theaters of diversity film be urgently needed. Fourth, appearance fees given to popular movie stars, actors, and staff members have to be provided in a balanced way. Fifth, the way for revitalization of film production should be found through the legal examination of fund for film development. Last but not least, the profit from the additional film market ought to be made.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.197-200
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• 2018

The aim of current research is to suggest a interface for movie reviews at a glance through semantic network analysis. The implication of this study is to systematically investigate the structure of eWoM. Specifically, by visualizing semantic networks of movie reviews this study attempts to provide a prototype of a possible review system that can check the response of movie viewer at a glance.