• Title/Summary/Keyword: Movie Performance

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A Study on the Space of Film - Focused on Hitchcock's Film - (영화에서의 공간에 관한 연구 - 히치콕의 영화를 중심으로 -)

  • Zhang, Shu;Choi, Won-Ho
    • Journal of Korea Multimedia Society
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    • v.23 no.2
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    • pp.376-382
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    • 2020
  • In the 1970s and 1980s, space installations in films became a new approach to film research. Many film directors and theoretical scholars believe that the space setting in films, other than textual stories, is an important core of film narrative research. Early film scholars have proposed that the film space with sensory narrative mode as the core motive force can promote people's in-depth understanding of the film content. Therefore, many researchers have tried to emphasize the importance of space in films through Hitchcock's films, but have not analyzed the elements and techniques of film space performance in detail. Reviewing the Hitchcock's classic crime film, through the space set in the traditional film, we can discover the movie techniques and concepts related to space. Therefore, this study takes Hitchcock's classic crime film as an example, and through analysis of film space expression techniques, attempts to propose factors for film space creation and bring new spatial perception effects to the audience.

Presentation Planning for Distributed VoD Systems (분산 VoD 시스템을 위한 프리젠테이션 플래닝)

  • Hwang, In-Jun;Byeon, Gwang-Jun
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.2S
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    • pp.577-593
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    • 2000
  • A distributed video-on-demand (VoD) system is one where collection of video data is located at dispersed sites across a computer network. In a single site environment, a local video server retrieves video data from its local storage device. However, in the setting of a distributed VoD system, when a customer requests a movie from the local server, the server may need to interact with other servers located across the network. In this paper, we present three types of presentation plans that a local server must construct in order to satisfy the customer request. Informally speaking, a presentation plan is a temporally synchronized detailed sequence of steps that the local server must perform for presenting the requested movie to the customer. This involves obtaining commitments from other video servers, obtaining commitments from the network service provider, as well as making commitments of local resources, within the limitations of available bandwidth, available buffer, and customer data consumption rates. Furthermore, for evaluating the goodness of a presentation plan, we introduce two measures of optimality for presentation plans: minimizing wait time for a customer, and minimizing access bandwidth is used. We develop algorithms to compute optimal presentation plans for all three types, and carry out extensive experiments to compare their performance. We have also mathematically proved certain results for the presentation plans that had previously been verified experimentally in the literature.

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Generalized neural collaborative filtering (일반화 신경망 협업필터링)

  • In Jun Hwang;Hee Ju Kim;Yu Jin Kim;Yoon Dong Lee
    • The Korean Journal of Applied Statistics
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    • v.37 no.3
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    • pp.311-322
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    • 2024
  • In this study, we conduct an exploratory analysis of the MovieLens data, which is frequently used in many recommender system researches, to examine the detailed characteristics of the data. Also, we seek alternatives to improve the well-known neural collaborative filtering (NCF) method. NCF improved matrix factorization method by using deep neural networks in recommender systems. We devise, generalized NCF (G-NCF), a variant of NCF and test the performances. The G-NCF we propose shows superior characteristics on average performance across key evaluation metrics, compared to the NCF, but it also has a slightly larger variance in the evaluation metrics. Evaluation metrics such as MAP and nDCG were considered for comparison.

A Study on analysis movie performance of Story Telling (3idiots centralize) (스토리텔링으로 흥행한 영화 분석(세 얼간이 중심으로))

  • Joo, heon-sik
    • Proceedings of the Korea Contents Association Conference
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    • 2012.05a
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    • pp.325-326
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    • 2012
  • 세 얼간이는 국내 포탈 사이트에 평점 등록한 네티즌만 2만여 명이 넘었으며, 네이버 9.43, 다음 9.7, 네이트 9.5 등의 평점으로 역대 영화 평점 순위 1위를 차지했다. 반지의 제왕 같은 판타지 블록버스터, 타이타닉, 대부 등 세계적인 흥행으로 전설이 되어버린 작품들의 기록을 뛰어넘는 것으로 전 세계 부동의 흥행 1위 아바타를 뛰어넘고, 700억 원이 넘는 수익을 창출했다. 세 얼간이가 성공할 수 있었던 것은 몇 가지로 볼 수 있는데 영화 전편에 걸친 스토리텔링과 비선형적 스토리구성, 모션의 활용, 사운드의 활용, 이벤트의 활용 등 인터랙션과 스토리텔링의 효과가 우수하였다고 사료한다.

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A Study on Centralization of the Korean Film Market : Focusing on the Supply and Consumption of the Top 100 Movies (한국 영화시장의 집중화 현상에 대한 논의 : 흥행영화의 공급과 소비를 중심으로)

  • Park, Seung-Hyun;Lee, Pu-Reum
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.6
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    • pp.109-124
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    • 2020
  • This study examines the concentration in terms of supply and consumption in the Korean movie market, focusing on screen size, nationality, and the box office. For analysis, it selects the top 100 movies in the box office each year for 15 years from 2005 to 2019. According to the result, the number of screens increased steadily every year, and the screen concentration became very high. For the top 100 movies, it increased from 12% to 30% of the total screen. It became higher in the case of the top 10 movies. As the number of screens increased, multiplex assigned more screens to one movie. Multiplex's screen allocation continued to increase, with one movie taking up more 60% of the total screen. This became more serious after 2011 and 2012. Market share of the top 100 movies accounted for about 95% of the total box office performance, even though the number of released movies is about 3,000. Whether multiplex preferred Hollywood movies or not, its screen assignment was found to favor Hollywood movies over Korean ones. In the case of film nationality, both Korean and Hollywood movies accounted for 90.7%. Two countries had a market share of 96.6%. There was no single side except Korea and the United States in the top 10. The increase in the number of screens deepened the concentration in screen allocation. The concentration in the screen allocation led to the concentration of consumption. The Korean film market is the case where the increase of movie screens did not create a diversity of supply and consumption. It also did not affect the diversity of film nationality. This research reveals that supplied concentration and consumed concentration are positively correlated, and that the former is a little lower than the latter.

A study on Movie Hit through Online WOM Analysis before and after the Release of Korean Movies (한국 영화의 개봉전·후 온라인 WOM분석을 통한 영화 흥행에 관한 연구)

  • Kim, Sang-Mok;Joo, Yong-Ho;Cho, Ok-Hue
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.257-267
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    • 2021
  • This study warns of the dangers of pre-marketing that is too preoccupied with raising market expectations before release at the film market level, and provides practical implications that the lower the level of mismatch of market expectations, the more ideal performance can be achieved. The level of expectation before release and satisfaction after release were measured by each movie rating, and the difference was calculated as the inconsistency of expectations. In raising expectations before the release, the expert rating among the star power, director power, expert rating, and number of screens has a significant influence. It was confirmed that the level of expectation before the release had a positive effect on the rating after the release, but had a negative effect on the level of discordance. In addition, the hypothesis that the higher the expectation level before the release, the greater the inconsistency, and the hypothesis that the higher the expectation inconsistency has a negative effect on the box office level is supported. This provides various implications for marketing carried out before or after the release of a movie to film-related practitioners for products with low involvement or emotional content such as movies.

A Study on 'Character Creation' of Personality Actor - Focusing on Actor Jung Woo-sung and the Characters He Played - (퍼스낼리티 배우의 '인물창조' 연구 -배우 '정우성-캐릭터'들을 중심으로-)

  • Oh, Youn-Hong
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.8
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    • pp.141-152
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    • 2020
  • This thesis is a study on the creation of characters of "personality actors and character actors" among the concepts of "star persona" of S. Prince. This study selected 7 representative films of Jung Woo-sung, a representative personality actor in the Korean film industry, and analyzed how 'Jung Woo-sung-character' is embodied in the film as a character component suggested by R. Dyer. In the traditional sense, the actor's acting has been highly valued for transformation and impersonation in character creation, but discussing the method of creating a character focusing only on the actor's acting in a movie acting implemented in combination with advanced technology I don't think it's suitable for movie acting research. Theorists such as R.Dyer and Edgar Morin, who studied film actors and stars, also emphasize that 'movie actors are different from theater actors' (by the film medium). Therefore, in this thesis, a detailed analysis of the acting of a personality actor was avoided. As Morin pointed out that the character in the movie can be implemented through the actor's image and type, not playing the type of role. I tried to propose the significance of this character creation method of the personality actor by analyzing actor Jung Woo-sung and his character.

A Comparison of Predicting Movie Success between Artificial Neural Network and Decision Tree (기계학습 기반의 영화흥행예측 방법 비교: 인공신경망과 의사결정나무를 중심으로)

  • Kwon, Shin-Hye;Park, Kyung-Woo;Chang, Byeng-Hee
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.4
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    • pp.593-601
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    • 2017
  • In this paper, we constructed the model of production/investment, distribution, and screening by using variables that can be considered at each stage according to the value chain stage of the movie industry. To increase the predictive power of the model, a regression analysis was used to derive meaningful variables. Based on the given variables, we compared the difference in predictive power between the artificial neural network, which is a machine learning analysis method, and the decision tree analysis method. As a result, the accuracy of artificial neural network was higher than that of decision trees when all variables were added in production/ investment model and distribution model. However, decision trees were more accurate when selected variables were applied according to regression analysis results. In the screening model, the accuracy of the artificial neural network was higher than the accuracy of the decision tree regardless of whether the regression analysis result was reflected or not. This paper has an implication which we tried to improve the performance of movie prediction model by using machine learning analysis. In addition, we tried to overcome a limitation of linear approach by reflecting the results of regression analysis to ANN and decision tree model.

The Effect of Online Word of Mouth on Movie Sales: Moderating Roles of Types of Social Media (온라인 구전이 영화매출에 미치는 영향: 소유미디어와 획득미디어의 조절효과를 중심으로)

  • Jung Won Lee;Cheol Park
    • Information Systems Review
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    • v.21 no.2
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    • pp.29-50
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    • 2019
  • Social media is divided into Owned Media, operated by companies according to information sources, and Earned Media, which third parties produce contents. Social media research developing the logic that brand-related content in social media increases awareness of potential customers and positively changes brand attitudes, resulting in increased sales and business performance. However, there are limitations in previous researches that can not fully explain the difference of media synergy effect according to the information source of social media. it is very important for the consumer to integrate media management because consumers are more likely to choose appropriate media information for the information needed at each decision making stage. The purpose of this study is to analyze the effect of eWOM of review site and social media (owned media and earned media) on movie sales. To do this, we collected 3,589 review data from films released in 2017. The results of the study showed that eWOM of review site, social media (owned media and earned media) had a positive effect on movie sales. However, it was found that the effect of moderating eWOM of review site was different between the owned media and the earend media.

State Information Based Recommendation Algorithm for Minimizing the Malicious User's Influence (상태 정보를 활용하여 악의적 사용자의 영향력을 최소화 하는 추천 알고리즘)

  • Noh, Taewan;Oh, Hayoung;Noh, Giseop;Kim, Chong-Kwon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.6
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    • pp.1353-1360
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    • 2015
  • With the extreme development of Internet, recently most users refer the sites with the various Recommendation Systems (RSs) when they want to buy some stuff, movie and music. However, the possibilities of the Sybils with the malicious behaviors may exists in these RSs sites in which Sybils intentionally increase or decrease the rating values. The RSs cannot play an accurate role of the proper recommendations to the general normal users. In this paper, we divide the given rating values into the stable or unstable states and propose a system information based recommendation algorithm that minimizes the malicious user's influence. To evaluate the performance of the proposed scheme, we directly crawl the real trace data from the famous movie site and analyze the performance. After that, we showed proposed scheme performs well compared to existing algorithms.