• Title/Summary/Keyword: Movie Policy

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The Holdback Policy as a Counter-Attack Method Against Piracy

  • Yoo, Changsok;Poe, Baek
    • Asian Journal of Innovation and Policy
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    • v.5 no.1
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    • pp.78-91
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    • 2016
  • To counter-attack against piracy, the movie industry is continuously developing new technologies for the protection of intellectual properties, only to find them instantly useless especially in the digital age. This study shifts the focus from technology to customer behavior, and analyzes customer behaviors vis-à-vis piracy using economic models. The theoretical model of optimal holdback strategy under the threat of piracy was derived and the result shows that holdback can be used as a tool not only for hedging the loss due to piracy, but also for reducing piracy. Based on the theoretical model, we suggested proper holdback strategy for each type of movie piracy.

A Study for Expressing the Image of Anticommunistic Ideology Reflected in (<똘이 장군>에 반영된 반공적 이데올로기 이미지 표현에 관한 연구)

  • Jang, Yeon-Yi
    • Cartoon and Animation Studies
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    • s.15
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    • pp.109-122
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    • 2009
  • Cultural policy, a part of ideological policy has affected remarkable changes in movie and animation. Korean animation was called cartoon movie and popular only among children, but works dealing with anti-communism ideology have been introduced in Korea since before/after 1970s. Animation focusing on ideology is not unique in Korea, but division of two Koreas after Korean War made great influence on social, cultural and educational aspects of the nation. Moreover, modification in movie-related laws and regulations made in 1960s - 1970s affected movie and animation significantly and is a means of strengthening anti-communism. In particular, Director Cheong-gi Kim's released in 1978 is meaningful in that it is the first long piece of animation movie. In this study, I clarify anticommunistic ideology reflected on the anticommunistic animations and the imageable expression of ideology reflected on . Most of all, I emphasize on clarifying how the cultural policies and social & cultural background influence on the advent of anticommunistic animation in 1960${\sim}$1970. Also, to communicate anticommunistic ideology reflected on produced under the social & cultural background, I clarify the expressive characteristic which the image of animation has.

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Design and Evaluation of a Dynamic Disk Striping and a Group-Alternation Round-Robin Data Placement Method for Video-on-Demand Serves (주무형 비디오 서버를 위한 동적 디스크 스트라이핑과 그룹교대 라운드로빈 데이터 배치 방법의 설계 및 평가)

  • 배인한;이재경
    • Journal of Korea Multimedia Society
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    • v.2 no.1
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    • pp.22-29
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    • 1999
  • In video-on-demand systems, movies are striped across the disks of the array in a video server to support multiple access. The blocks of the movies have to be placed carefully on the disks of the array in a video server in order to avoid load imbalance across these disks as well as to achieve maximum utilization of both space and bandwidth of these disks. This paper proposes a movie placement method called the GARR (group-alternation round-robin) that is based on the dynamic disk striping method considering the popularity of movie. The GARR uses group-alternation as movie selection policy and round-robin as data placement policy, where group-alternation allocates popular movie and unpopular movie groups to disks alternately. The performance of the GARR is evaluated by simulations.

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Cost Distribution Strategies in the Film Industry: the Simplex Method (영화의 유통전략에 대한 연구: 심플렉스 해법을 중심으로)

  • Hwang, Hee-Joong
    • Journal of Distribution Science
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    • v.14 no.10
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    • pp.147-152
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    • 2016
  • Purpose - High quality films are affected by both the production stage and various variables such as the size of the movie investment and marketing that changes consumers' perceptions. Consumer preferences should be recognized first to ensure that the movie is successful. If a film is produced without pre-investigation and analysis of consumer demand and taste, the probability of success will be low. This study investigates the balance of production costs, marketing costs, and profits using game theory, suggesting an optimization strategy using the simplex method of linear programming. Research design, data, and methodology - Before the release of the movie, initial demand is assumed to be driven largely by marketing costs. In the next phase, demand is assumed to be driven purely by a movie's production cost and quality, which might also further determine consumer demand. Thus, it is essential to determine how to distribute pure production costs and other costs (marketing) in a limited movie production budget. Moreover, it should be taken into account how to optimally distribute under the assumption that the audience and production company's input resources are limited. This research simplifies the assumptions for large-scale and relatively small-scale movie investments and examines how movie distribution participant profits differ when each cost is invested differently. Results - When first movers or market leaders have to choose both quality and marketing, it has been proven that pursuing a strategy choosing only one is more likely than choosing both. In this situation, market leaders should maximize marketing costs under the premise that market leaders will not lag their quality behind the quality of second movers. Additionally, focusing on movie marketing that produces a quick effect while ceding creative activity to increase movie quality is a natural outcome in the movie distribution environment since a cooperative strategy between market competitors is not feasible. Conclusions - Government film development policy should ignore quality competition between movie production companies and focus on preventing marketing competition. If movie production companies focus on movie production quality improvement then a creative competition would ensue.

A Study on Movie Consumption and Concentration Trends in Theaters and Online (극장과 온라인의 영화 소비와 소비집중도 추세에 관한 연구)

  • Kim, Jun Sung
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.170-179
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    • 2022
  • In the theater-based movie industry, it is known that the diversity of movie consumption is hindered due to concentrated consumption. This study extends the existing discussions on the concentration of movie consumption in theaters to the concentration of online movie consumption. In addition, the study analyzes the impact of Covid-19 pandemic on movie consumption and the concentration thereof. For analysis, panel data for the period from 2012 through 2021 were collected by utilizing the box office data of the Korean Film Council. As a result of the analysis, it was found that the concentration of consumption by movie, country, and genre was higher in theaters than online. Further, the concentration of movie consumption has increased both in theaters and online until the outbreak of Covid-19 pandemic. During the Covid-19 pandemic period, the size of consumption has decreased both in theaters and online, while the concentration of consumption by movie online has increased. The result of this study implies a need for policy-level efforts to convert the trend of consumption concentration for long-term development of the movie industry with secured diversity of movie consumption, and for this, the study suggests that the use of online media would be useful.

A Study on the Accuracy Improvement of Movie Recommender System Using Word2Vec and Ensemble Convolutional Neural Networks (Word2Vec과 앙상블 합성곱 신경망을 활용한 영화추천 시스템의 정확도 개선에 관한 연구)

  • Kang, Boo-Sik
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.123-130
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    • 2019
  • One of the most commonly used methods of web recommendation techniques is collaborative filtering. Many studies on collaborative filtering have suggested ways to improve accuracy. This study proposes a method of movie recommendation using Word2Vec and an ensemble convolutional neural networks. First, in the user, movie, and rating information, construct the user sentences and movie sentences. It inputs user sentences and movie sentences into Word2Vec to obtain user vectors and movie vectors. User vectors are entered into user convolution model and movie vectors are input to movie convolution model. The user and the movie convolution models are linked to a fully connected neural network model. Finally, the output layer of the fully connected neural network outputs forecasts of user movie ratings. Experimentation results showed that the accuracy of the technique proposed in this study accuracy of conventional collaborative filtering techniques was improved compared to those of conventional collaborative filtering technique and the technique using Word2Vec and deep neural networks proposed in a similar study.

Effect of movie on viewer's political and social recognition (영화 <카트>가 수용자의 정치적, 사회적 인식에 미치는 영향)

  • Park, Dug-Chun
    • Journal of Digital Convergence
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    • v.13 no.11
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    • pp.365-371
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    • 2015
  • This experimental research explores the effect of the movie that can be classified as non-news media on viewers' political and social attitude on the theoretical basis of priming effect, focused on the movie 'cart' that deals with non-regular workers' labor movement. For this experimental research, one group of subjects composed of university students were exposed to movie 'cart', and the other not to the movie. After watching a movie, each group of subjects responded to questions that are designed to measure the seriousness of non-regular workers' problem, the necessity of labor movement, support of opposition party, support of the current government. This research found that subjects exposed to the movie 'cart' consider non-regular workers' problem more serious and supports opposition party more positively than subjects not exposed to movie 'cart.' However hypotheses that expected the positive support of treated subjects on labor union and less positive support of treated subjects on current government were rejected.

Cultural Tunneling Effect: Conceptual adoption & Application in movie industry

  • Roh, Seungkook
    • Asia Marketing Journal
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    • v.16 no.3
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    • pp.77-100
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    • 2014
  • Many researchers have analyzed the relationship between the financial success patterns of a motion picture and many other factors, such as the production cost, marketing, stars, awards, reviews, genre, and rating. Through these studies, many researchers and investors concluded that big budgets to make a blockbuster movie can serve as an insurance policy to meet their ROI; thus the box office is dominated by blockbuster movies. High-budget blockbuster movies are more likely to receive attention because these movies are more recognizable given their high expenses for production and casting. Therefore, audiences choose blockbusters in an effort to reduce the searching cost and to mitigate the possibility of a regrettable choice. This behavior of consumers, in turn, causes distributors to allocate screens for blockbusters, resulting in "concentration of blockbuster consumption." As such, low-budget films cannot easily become popular due to the lack of distribution. Indeed, low-budget films released on a small number of screens often end up becoming dismal failures. However, there are exceptional examples which are contrary to the general idea in the movie industry that a big budget and showings on a large number of screens can guarantee the success of a movie. Although researchers have attempted to analyze the performances of movies with small budgets, such movies are likely to be regarded as outliers and then be entirely discarded, as they are far from the 'three-sigma' range, especially given that previous research methodologies could not explain the financial success of such unique examples. This study attempts to explain the financial success at the box office of low-budget movies by applying the concept of the tunnel effect in quantum mechanics, as the phenomenon found in the movie industry is similar to a particle's movement in quantum physics. The tunneling effect is a phenomenon by which a particle without enough energy to pass over a potential barrier tunnels through it. Adopting the analogy, this study draws a tunneling probability function and cultural constant to forecast other outliers using the Schrödinger equation. Moreover, the study finds that word-of-mouth creates in the movie industry this phenomenon of finding outliers.

Comparison of Movie Ticketing system by smartphone applications -Focused on CGV, Megabox, Lotte cinema- (스마트폰 애플리케이션을 통한 영화 예매 시스템 비교 -CGV, 메가박스, 롯데시네마를 중심으로-)

  • Ko, Jin;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.453-460
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    • 2016
  • This study aimed to compare the systems of ticketing application programs of three major movie theaters, CGV, Megabox, Lotte Cinema, with each other and evaluate the usability, and find problems to figure out user experiences for more convenient mobile ticketing. Experimental subjects with experiences of using apps of the movie theaters were recruited; First, as a primary task, they reserved movie tickets with each of the movie theater apps; Second, they had in-depth interviews with questions based on the model of Creating Pleasurable Interfaces by Stephen Anderson. As a result, users preferred the composition with information in order in overall, in which ticketing process went smoothly. In particular, users were more satisfied with convenient payment applications. Therefore, as an improving way, it is required to design an interface for users to recognize at a glance and a payment system within an app, not to design separate payment system out of the app. I hope this study will help actively conduct researches to maximize the usability in a way to reserve movie tickets through smartphone apps.

The Effect of Number of Running Screens and Viewers in the Theaters, Genres, Holdback Period on the Number of Purchases of Movie VOD in the Digital Cable TV Subscribers (디지털케이블TV에서 영화의 선행창구 성과, 장르, 홀드백 기간이 영화 VOD 구매에 미치는 영향)

  • Park, Sun-Kyoo;Choi, Seong-Jhin
    • Journal of Broadcast Engineering
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    • v.20 no.6
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    • pp.950-962
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    • 2015
  • This paper analyzes the effect of the number of viewers and the number of running screens in the theater, genres of the movies and holdback period on the number of purchases movie VOD contents. In this paper, we deals with the 169 movies VOD consumption data which the digital cable TV subscribers purchased during the third quarter of 2013. As a result of the research, the average number of VOD purchases per each movie is 2,540. Regression analysis proves that the number of running screens and the holdback period are statistically playing a role of significance in movie VOD purchases. But the number of viewers in the theaters is not of significance. By genres, the result is shown as in this order: SF/fantasy 8,401 > dramas 4,011 > comedies 2,011 > action 1,789 > animation 1,138 > love story/melo 1,119 > horror/thriller 770 > erotic movies 636.