• Title/Summary/Keyword: 영화 시스템

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Dynamic Disk Striping and Data Placement Methods for Video-on-Demand Servers (주문형 비디오 서버를 위한 동적 디스크 스트라이핑과 데이터 배치 방법)

  • 이재경;이경숙;배인한
    • Proceedings of the Korea Multimedia Society Conference
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    • 1998.04a
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    • pp.10-15
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    • 1998
  • 주문형 비디오 시스템에서 저장되는 영화들의 다중 액세스를 지원하기 위해 영화들은 비디오 서버의 다수의 디스크에 걸쳐 스트라이프되고, 비디오 서버의 디스크 배열들간의 부하 불균형을 피할 뿐만 아니라 저장 공간과 장치 대역폭을 최대로 이용하기 위하여 영화의 블록들은 디스크 배열에 신중히 배치되어야 한다. 본 논문에서는 영화의 인기도를 고려한 동적 디스크 스트라이핑에 기초하는 그룹교대 라운드로빈이라는 영화 배치 방법을 제안하고, 그것의 성능을 시뮬레이션을 통하여 평가한다.

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Study on French Film Fund Policy -Focusing on CNC's support project for film productions (프랑스 영화기금정책 연구 -CNC 제작지원 사업을 중심으로)

  • Kim, Hyun-Hee
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.133-140
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    • 2019
  • The Korean Film Council which manages the Film Development Fund carried out a number of projects to support film production, distribution, and film policies. Also, this organization participated in promoting advanced film technology and foreign film location by constituting an incentive support. The projects consist of support for the operation of Namyangju filming studio and the film information system as well. It is necessary to scrutinize the projects regarding support for film production, which is the largest and most important among the whole projects, for continuous development of the Korean film industry. this study reviwed the fundraising status, budget, and support projects of the Center for National Film/Video Center CNC which operates the film fund in France analyzed film production support policy of the CNC. Through this, we verified necessity of stable financing and funding of the Korean Film Development Fund, support for creation of film music and support for overseas filming, and prepared activation plans for film co-production.

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.

Edison's Kinetoscope Motion Picture Study in Prehistory (프리히스토리 시대 에디슨의 키네토스코프 영화 연구)

  • Lee, Won-Ik
    • The Journal of the Korea Contents Association
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    • v.19 no.10
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    • pp.126-136
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    • 2019
  • The film born by Lumiere brothers in 1895 was not the first. Edison, who invented the Kinetograph four years ago, has already made dozens of films. But it has been relatively undervalued. That's because the platform for projecting a movie was through a single person viewer called Kinetoscope. However, the physical characteristics of the film itself are the same as those of modern films, and have a unique aesthetic distinction compared to other early films. The subject is entertainment-oriented, and the image is characterized by contrast effect. In addition, even before the birth of the film, it shows the important creative elements and genres pursued by fictional films, and has industrial production systems and experts. If Lumiere's film is the beginning of a documentary film that portrays the fact, Edison's film deserves historical value as the beginning of popular film, which is the hallmark of modern cinema.

Value Chain Model to Stabilize which Low-budget Digital Film Production System (가치사슬 구조로 본 저예산 디지털 영화제작 시스템의 안정을 위한 연구)

  • Kim, Jin-Wook
    • The Journal of the Korea Contents Association
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    • v.13 no.5
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    • pp.82-89
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    • 2013
  • The phase in digital technology expedited low-budget digital film productions in the Korean film industry; hence the international film festivals circuit became the launching pad for Korean directors as they built their reputation and careers around the critical acclaim. Pieta (Kim Ki-Duk)'s Claim on Golden Lion prize at the Venice Film Festival in 2012 would be one of the splendid achievements - the festival is considered to be one of the top the international film festival. However, the increased volume of the low-budget digital film productions are not necessarily proportional to the growth in the quality of the productions. The drawbacks to the production system appeared to be the underlying cause. In attempt to approach the issue, this article explores the production system from 2000 until now. It is illustrated that the value chain model has been transformed from general ones into vertical & horizontal integrated ones. A notable example of successful indie bands-around Hongik university area-, as well the analysis on the low-budget hit productions, especially from the mid-2000's, are introduced as the case studies. The strategies that led the success, such as subsidies policy, the tax benefits on investment firms and production companies, and the aid in international film festival submissions on low-budget digital film productions, are thus examined with further suggestions.

Style Analysis on : Barry Salt's Statistical Analysis (<지슬>의 스타일 분석: 배리 솔트의 통계적 분석을 중심으로)

  • Kim, Jung-Ho;Kim, Hak-Min
    • The Journal of the Korea Contents Association
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    • v.14 no.10
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    • pp.486-505
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    • 2014
  • is the winner of Grand Jury Prize in World Cinema-Dramatic at Sundance Film Festival 2013 and made high Box Office performance in Korean Indie Film distribution. tells the story of the horrific massacre of 30,000 civilians at Jeju Island in Korea in 1948. Civilians were killed by Korean Army under the supervision of U. S. Army and by the Korean Communist partisan. From the Statistical Style Analysis, has a lot in common with Ming-liang Tsai's movies and similar traits of art cinema. According to David Boardwell, Art Cinema is intensify the traditional continuity through selection and concentration rather than become the Alternative, Oppositional film practice of Mainstream Classical Hollywood Cinema.

Distribution of Close-up Shots by Narrative Structure (서사구조에 따른 클로즈 업 숏 분포)

  • Park, Seung-Bo;Kim, Jaekyung
    • Annual Conference of KIPS
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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.

Evaluation of Hollywood and Recognition of Audience on Incheon(1981) (영화 <인천>(1981)에 관한 평가와 관객의 인식 양상)

  • Kim, Jong-Guk
    • The Journal of the Korea Contents Association
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    • v.17 no.1
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    • pp.750-758
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    • 2017
  • Korean film actors and staff participated in Incheon(Terence Young, 1981) Hollywood filmmaking workforces had taken in South Korea. According to the dictation of the elders who participated in the making of the film Incheon, through the movie they were able to experience Hollywood film production system and said it had an impact on Korea filmmaking system. It is the reason that this study tracks the historical traces of the almost forgotten film. This article analyzed an expert assessment and recognition of the audience about the film Incheon produced by the Hollywood production system. Expert review was utilized in such press articles and tomes about the actors and staff who participated in the film. Also, the audience rating was analyzed in terms of the recognition at the theater or watching cable TV, Internet etc. Evaluation of expert in Incheon was monotonous but negatively red, I could confirm that the viewers recognized in various ways, rather than evaluated the film.

Personalized Recommendation System using Level of Cosine Similarity of Emotion Word from Social Network (소셜 네트워크에서 감정단어의 단계별 코사인 유사도 기법을 이용한 추천시스템)

  • Kwon, Eungju;Kim, Jongwoo;Heo, Nojeong;Kang, Sanggil
    • Journal of Information Technology and Architecture
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    • v.9 no.3
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    • pp.333-344
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    • 2012
  • This paper proposes a system which recommends movies using information from social network services containing personal interest and taste. Method for establishing data is as follows. The system gathers movies' information from web sites and user's information from social network services such as Facebook and twitter. The data from social network services is categorized into six steps of emotion level for more accurate processing following users' emotional states. Gathered data will be established into vector space model which is ideal for analyzing and deducing the information with the system which is suggested in this paper. The existing similarity measurement method for movie recommendation is presentation of vector information about emotion level and similarity measuring method on the coordinates using Cosine measure. The deducing method suggested in this paper is two-phase arithmetic operation as follows. First, using general cosine measurement, the system establishes movies list. Second, using similarity measurement, system decides recommendable movie list by vector operation from the coordinates. After Comparative Experimental Study on the previous recommendation systems and new one, it turned out the new system from this study is more helpful than existing systems.

User Clustering based on Genre Pattern for Efficient Collaborative Filtering System (효율적인 협업적 여과 시스템을 위한 장르 패턴 기반의 사용자 클러스터링)

  • Choi, Ja-Hyun;Ha, In-Ay;Hong, Myung-Duk;Jo, Geun-Sik
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.06a
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    • pp.171-172
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    • 2011
  • 협업적 여과 시스템은 사용자에 대한 클러스터링을 구축한 후, 구축된 클러스터를 기반으로 사용자에게 영화를 추천한다. 하지만 사용자 클러스터링 구축에 많은 시간이 소요되고, 사용자가 평가한 영화가 피드백이 되었을 경우 재구축이 쉽지 않다. 본 논문에서는 사용자 클러스터링의 재구축을 용이하게 하기 위해 빈발패턴 네트워크를 이용하여 클러스터링을 구축하고, 이를 협업적 여과 시스템에 적용하여 영화를 추천한다. 구축된 클러스터를 통해 사용자 클러스터를 재구축시 소요되는 시간 비용을 줄이면서, 전통적인 협업적 여과 시스템과 유사한 성능의 추천이 가능하게 되었다.

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