• The Journal of the Korea Contents Association
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• 제14권5호
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• pp.18-29
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• 2014

was somewhat of a turning point for Godard, allowing the Novelle Vague auteur to address for the first time the current political climate of the world in one of his film, and this film is a film of constant questioning and is, in the truest sense, a 'talking film'. In this paper, I attempt to analyse the sound of this film to interpret the complicated sound structure in . Godard was aware of the power of sound and experimented diverse methods such as 'direct sound', interviewing using the effect of on-sound and off-sound, multiple narration, reading a text aloud, sound effect and music which are controled and selected by himself in this film. , with its largely improvised dialogue, was a work of journalism which was recorded a generation of Marx Coca-Cola.

• KIPS Transactions on Software and Data Engineering
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• 제6권9호
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• pp.437-444
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• 2017

Although many studies tried to predict movie revenues in the last decade, the main focus is still to learn an efficient forecast model to fit the box-office revenues. However, the previous works lack the analysis about why the prediction errors occur, and no method is proposed to reduce the errors. In this paper, we consider the prediction error comes from the competition between the movies that are released in the same period. Our purpose is to analyze the competition value for a movie and to predict how much it will be affected by other competitors so as to improve the performance of movie box-office prediction. In order to predict the competition value, firstly, we classify its sign (positive/negative) and compute the probability of positive sign and the probability of negative sign. Secondly, we forecast the competition value by regression under the condition that its sign is positive and negative respectively. And finally, we calculate the expectation of competition value based on the probabilities and values. With the predicted competition, we can adjust the primal predicted box-office. Our experimental results show that predictive competition can help improve the performance of the forecast.

• The Journal of the Korea institute of electronic communication sciences
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• 제16권1호
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• pp.125-134
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• 2021

With the rapid development of the film industry, the number of films is significantly increasing and movie recommendation system can help user to predict the preferences of users based on their past behavior or feedback. This paper proposes a movie recommendation system based on the latent factor model with the adjustment of mean and bias in rating. Singular value decomposition is used to decompose the rating matrix and stochastic gradient descent is used to optimize the parameters for least-square loss function. And root mean square error is used to evaluate the performance of the proposed system. We implement the proposed system with Surprise package. The simulation results shows that root mean square error is 0.671 and the proposed system has good performance compared to other papers.

• Proceedings of the Korean Information Science Society Conference
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• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(B)
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• pp.381-383
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• 2012

협업필터링은 지금까지 많은 추천시스템 연구에서 비교대상이 되거나 더 좋은 추천시스템 방법론을 개발하기 위해서 응용되고 있다. 일반적으로 협업필터링 기법은 명시적으로 관찰된 사용자들의 행동을 기반하는 방법이다. 본 연구에서는 LDA(Latent Dirichlet Allocation)을 이용해 사용자와 추천 대상이 되는 아이템의 숨겨진 특성을 추출하고, 이를 협업필터링기법에 응용했다. 영화 추천시스템 구축을 위한 실험에서, 사용자의 선호도는 다양한 영화 장르를 선호하는 비율로 나타난다는 가정(사용자기반)과 영화 또한 장르의 비율로 표현이 된다는 가정(아이템기반)을 했다. 이러한 가정을 토대로 사용자 사이와 영화 사이 간의 유사도를 정의하고, 협업필터링에 적용했을 때, 전통적인 협업필터링 기법보다 뛰어난 결과를 얻을 수 있었다.

• The Journal of the Korea Contents Association
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• 제15권6호
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• pp.73-80
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• 2015

Sergei Eisenstein explains pathos as the basic principles of artistic creation in "The Structure of the Film" written in 1939. The definition of pathos is embodied as effect to leap the audience in ecstasy. Pathos aiming at qualitative configuration of the audience's emotions is film form and the core of cinematic expression as important as montage. Eisenstein as one of the greatest film directors sought to theorize cinematic art. He wanted to fuse the creative and theory of film through principles such as the collision montage, intellectual image, and construction of pathos. This study explores the background of the discussion that Eisenstein going beyond the status as an artist wanted to experiment with montage to lead the change in audience and build pathos effect in the extended. This article examines the meaning of pathos in works of art he explained. It should also be understood the construction of pathos for changing the emotion of the audience through the example of the film he analyzed.

• Journal of the Korea Society of Computer and Information
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• 제26권10호
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• pp.9-17
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• 2021

Humans are social animals that have gained information or social interaction through dialogue. In conversation, the mood of the word can change depending on the sensibility of one person to another. Relationships between characters in films are essential for understanding stories and lines between characters, but methods to extract this information from films have not been investigated. Therefore, we need a model that automatically analyzes the relationship aspects in the movie. In this paper, we propose a method to analyze the relationship between characters in the movie by utilizing deep learning techniques to measure the emotion of each character pair. The proposed method first extracts main characters from the movie script and finds the dialogue between the main characters. Then, to analyze the relationship between the main characters, it performs a sentiment analysis, weights them according to the positions of the metabolites in the entire time intervals and gathers their scores. Experimental results with real data sets demonstrate that the proposed scheme is able to effectively measure the emotional relationship between the main characters.

• Journal of Intelligence and Information Systems
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• 제19권3호
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• pp.25-44
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• 2013

Accessing movie contents has become easier and increased with the advent of smart TV, IPTV and web services that are able to be used to search and watch movies. In this situation, there are increasing search for preference movie contents of users. However, since the amount of provided movie contents is too large, the user needs more effort and time for searching the movie contents. Hence, there are a lot of researches for recommendations of personalized item through analysis and clustering of the user preferences and user profiles. In this study, we propose recommendation system which uses ontology based knowledge base. Our ontology can represent not only relations between metadata of movies but also relations between metadata and profile of user. The relation of each metadata can show similarity between movies. In order to build, the knowledge base our ontology model is considered two aspects which are the movie metadata model and the user model. On the part of build the movie metadata model based on ontology, we decide main metadata that are genre, actor/actress, keywords and synopsis. Those affect that users choose the interested movie. And there are demographic information of user and relation between user and movie metadata in user model. In our model, movie ontology model consists of seven concepts (Movie, Genre, Keywords, Synopsis Keywords, Character, and Person), eight attributes (title, rating, limit, description, character name, character description, person job, person name) and ten relations between concepts. For our knowledge base, we input individual data of 14,374 movies for each concept in contents ontology model. This movie metadata knowledge base is used to search the movie that is related to interesting metadata of user. And it can search the similar movie through relations between concepts. We also propose the architecture for movie recommendation. The proposed architecture consists of four components. The first component search candidate movies based the demographic information of the user. In this component, we decide the group of users according to demographic information to recommend the movie for each group and define the rule to decide the group of users. We generate the query that be used to search the candidate movie for recommendation in this component. The second component search candidate movies based user preference. When users choose the movie, users consider metadata such as genre, actor/actress, synopsis, keywords. Users input their preference and then in this component, system search the movie based on users preferences. The proposed system can search the similar movie through relation between concepts, unlike existing movie recommendation systems. Each metadata of recommended candidate movies have weight that will be used for deciding recommendation order. The third component the merges results of first component and second component. In this step, we calculate the weight of movies using the weight value of metadata for each movie. Then we sort movies order by the weight value. The fourth component analyzes result of third component, and then it decides level of the contribution of metadata. And we apply contribution weight to metadata. Finally, we use the result of this step as recommendation for users. We test the usability of the proposed scheme by using web application. We implement that web application for experimental process by using JSP, Java Script and prot$\acute{e}$g$\acute{e}$ API. In our experiment, we collect results of 20 men and woman, ranging in age from 20 to 29. And we use 7,418 movies with rating that is not fewer than 7.0. In order to experiment, we provide Top-5, Top-10 and Top-20 recommended movies to user, and then users choose interested movies. The result of experiment is that average number of to choose interested movie are 2.1 in Top-5, 3.35 in Top-10, 6.35 in Top-20. It is better than results that are yielded by for each metadata.

• Journal of Korea Entertainment Industry Association
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• 제13권1호
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• pp.59-67
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• 2019

This article examines how Brecht's Gestus is borrowed and transformed into the film. I examined the critical debates on the film's use of Brecht and the style of Brecht's acting adopted in radical experimental films and Hollywood films. In addition, through the case of Korean film actor/ress, I sought to apply the Brechtian theory. First, despite the criticism that the film's acceptance of Brecht is overly formal and mechanical, film theory and practice reflect Brecht's ideas. In particular, regardless of the socio-political situation of Brecht's day, his Gestus is suitable and useful for film acting. Brecht's thought was realized by technological innovations such as montage and computer special effects, and above all, the social attitude of the actor was popularized through the education of the audience. Second, his strategy on performance is no longer unfamiliar, and goes beyond the boundaries of contradictory daily life and art, and becomes the pleasure of popular film. Although the intentions of naturalism and anti-naturalism in acting arts are different, the process and effects look at the same point. Third, through the case of Korean film actor/ress as an attempt of popular understanding about Brecht strategy, I could confirm the possibility of searching identity of Korean film actor/ress.

• The Journal of the Korea Contents Association
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• 제14권11호
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• pp.584-591
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• 2014

This article discussed emotion and communication at the film editing theory. By editing as a form of communication, audiences response to the new facts of the story or the new shot as its details and then it uses their ability to induce. Lev Kuleshov, by the famous Mozhukin experiment, intended to show that montage draw spectator's inferences on emotion and association beyond content of the individual shots. The continuous editing technologies such as 180-degree rule, matching eye-view and behavior, 30-degree rule, and continuity of sound, light and color, enhance emotion. Point-of-view editing is the main device to maximize the film's emotion. Point-of-view editing serving the purpose of the film narration is a powerful means to practice and to persuade emotion communication.

• The Journal of the Korea Contents Association
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• 제16권3호
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• pp.162-170
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• 2016

Xavier Dolan delves into maternal instinct and sexual identity and the attempt and experiment of his movies are not difficult to understand and not unfamiliar. He communicates with audience through pastiche and self-reflexivity, rather than disassembling and destruction of style and form of existing films. Pastiche is the intertextuality between familiar genres such as film, poem, fashion, music, painting, etc. His films shows the characteristics of postmodernism, which include genre over, de-subjectivity, interest in public culture, and representation of nostalgia. This study recognizes anew the present of postmodernism gradually going out of fashion and analyzes the characteristics of postmodernism and repeated motif in his movies. This study also analyzes Xavier Dolan's interest in social minority and allegorian characteristics through characters appearing in his movies.