• Journal of Digital Convergence
• /
• v.15 no.12
• /
• pp.461-468
• /
• 2017

'Beauty and the Beast' was generated as a novel in 1740 and descended to date with the musical movie in 2017. This study is to understand what contents has been derived and expanded from one story for 277 years upon analyzing 'Beauty and the Beast' with the background of the times. Due to the limitation to include all the folktales and stories, the subjects of this study are limited with the contents that had been known and recorded as 'Beauty and the Beast.' 'Beauty and the Beast' has been expanded to 7 types of contents including novel, fairytale, movie, drama, animation, musical and film opera. It was created as a novel in the eighteenth century, made as a fairytale, and developed as a movie by Jean Cocteau, a movie director. With Industrial Revolution and the development of science, 'Beauty and the Beast' which derived into animation, drama, and musical contents, has been developed as the film opera thanks to the new trial of Philip Glass and the development of music industry. 'Beauty and the Beast' is still regenerating with a variety of contents continuously upon the development of computer technology and the fad of global remake. With anticipation of further analytical studies on 'Beauty and the Beast,' it is expected that the data of this study can be contributed as a reference in the other studies.

• 한국정보통신설비학회:학술대회논문집
• /
• 2006.08a
• /
• pp.82-86
• /
• 2006

Film has been used widely since Auguste and Louis Lumiere hold the first private screening in 1895. Star Wars Episode II: Attack of the Clones directed by George Lucas released on May 16, was the first motion picture both to be shot completely on a high definition digital 24-frame system and to be projected by digital projectors. Its success showed us that the digital cinema era is imminent. Digital Cinema will enable the studios and movie distributors to low the expenses of making and delivering film prints and dissemination of it can put the entire digital cinema ecosystem in great jeopardy. Therefore DRM and other security policies are used for digital cinema content protection. In this paper it will be discussed how the digital cinema platform can package (encooe & encrypt), transport, and project the digital cinema contents safely.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.3
• /
• pp.111-119
• /
• 2019

Time and space are the foundations of all the narrative. As the aim and content of narrative, spatial narrative plays an increasingly important role in the narrative movies. With the development and application of digital technique, the expressiveness of movie space is enhancing, and spatial narrative has become the focus of directors and critics. As a developing cinematic narrative form, spatial narrative is taking advantage in many aspects, including narrative structure, narrative effect, creative skills and audience acceptance, which can bring breakthrough and innovation to the creation of cinematic narrative. Based on the spatial theory in movies, the paper analyzes the space presentation approaches in the movie Hugo. Combined with the motivating factors, structure factors, symbolic significance and psychological factors of narrative space, the paper specifically analyzes the significance of spatial narrative in American movie Hugo. By researching the glamour of narrative space in the movie, the paper intends to provide certain reference value to the narrative expression of the movies today.

• 한국디지털정책학회:학술대회논문집
• /
• 2004.05a
• /
• pp.83-94
• /
• 2004

The purpose of this paper is to let people know that current digital transition in digital cinema industry world wide is inevitable and radical. The parties concerned in the domestic film industry have not paid attention to this digital wave yet, In this research, we investigated about current situation of digital cinema industry and proposed digital film mastering, transport, technology, and business related models in digital cinema. To increase productivity of making a movie, we searched areas needing standards, created quality managing program, and proposed organization systems to perform those plans.

• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10c
• /
• pp.285-287
• /
• 1998

본 논문에서는 다양한 멀티미디어 스트림(multimedia stream)을 재생할 수 있는DirectShow SDK를 이용하여, 비디오의 특수효과를 구현하기 위한 변환 필터(Transform filter) 제작 방법에 대해 소개한다. DirectShow는 여러 가지 포맷(MPEG, AVI, MOV, WAV)으로 부호화된 digital movie나 sound를 재생할 수 있는 run-time(.ock)과 dynamic-link library (DLLs)를 제공하여 필터의 제작을 용이하게 한다. 본 논문에서는 디지털 영상 특수효과 중에서 Clip이라는 특수효과를 예로하여 변환 필터를 제작하는 방법을 소개한다. 또한 DirectShow Documentation에서 제공된 변환방법을 수정하여 변환필터의 입력 pin에서 출력 pin으로의 불필요한 복사를 줄임으로써 수행 속도를 개선하는 특수효과 구현 방법을 제시한다.

• Journal of Digital Convergence
• /
• v.18 no.12
• /
• pp.525-531
• /
• 2020

In today's IT environment where various pieces of information are distributed in large volumes, recommendation systems are in the spotlight capable of figuring out users' needs fast and helping them with their decisions. The current recommendation systems, however, have a couple of problems including that user preference may not be reflected on the systems right away according to their changing tastes or interests and that items with no relations to users' preference may be recommended, being induced by advertising. In an effort to solve these problems, this study set out to propose a Fuzzy-AHP-based movie recommendation system by applying the BRNN(Bidirectional Recurrent Neural Network) language model. Applied to this system was Fuzzy-AHP to reflect users' tastes or interests in clear and objective ways. In addition, the BRNN language model was adopted to analyze movie-related data collected in real time and predict movies preferred by users. The system was assessed for its performance with grid searches to examine the fitness of the learning model for the entire size of word sets. The results show that the learning model of the system recorded a mean cross-validation index of 97.9% according to the entire size of word sets, thus proving its fitness. The model recorded a RMSE of 0.66 and 0.805 against the movie ratings on Naver and LSTM model language model, respectively, demonstrating the system's superior performance in predicting movie ratings.

• International Commerce and Information Review
• /
• v.1 no.1
• /
• pp.57-66
• /
• 2008

The best value proposition for the customers of satellite-DMB (hereinafter referred to as the "S-DMB") business in an environment of fierce competition shall be securing the best killer contents and distribute them in reasonable price as a mobile contents platform provider. In an era of merging the broadcasting with the communication, although many new players tapping into the market with state-of-the-art media such as digital convergence, the key to success in the market is dependent on whether the respective digital contents providers retain competitive digital contents which suit the taste of customers. Considering such market conditions, the purpose of this study is to look over the management examples of Korean S-DMB providers which is carrying out business in digital multi-media market and opening up the market, and to analyze the management strategies of domestic S-DMB companies to be the champion in the market.

• Journal of Digital Contents Society
• /
• v.14 no.4
• /
• pp.581-587
• /
• 2013

In this paper, we propose a method of sentiment classification which uses Levenshtein distance. We generate BOW(Bag-Of-Word) applying Levenshtein daistance in sentiment features and used it as the training set. Then the machine learning algorithms we used were SVMs(Support Vector Machines) and NB(Naive Bayes). As the data set, we gather 2,385 reviews of movies from an online movie community (Daum movie service). From the collected reviews, we pick sentiment words up manually and sorted 778 words. In the experiment, we perform the machine learning using previously generated BOW which was applied Levenshtein distance in sentiment words and then we evaluate the performance of classifier by a method, 10-fold-cross validation. As the result of evaluation, we got 85.46% using Multinomial Naive Bayes as the accuracy when the Levenshtein distance was 3. According to the result of the experiment, we proved that it is less affected to performance of the classification in spelling errors in documents.

• Journal of Broadcast Engineering
• /
• v.21 no.6
• /
• pp.965-976
• /
• 2016

Recently studies about audio-visual immersion are being carried out due to development of digital video but studies analysing quantitatively the content or climax of video has not carried out. The paper is analysed quantitatively by using shot size, camera angle, camera direction and camera position, objective & subjective which is general component of video expression. We can see the climax effects in the video destroying the principles because there is a rule when they use the component. This thesis analyses shot-list based on video expression in existing movies therefore it can analyse quantitatively several method commonly used in order to make the climax. These suggesting method that can find the part of climax based on analysis of shot-list can be used when you search the specific part of video like long movie or when you search the genre of the movie or when you index the genre. Also it can be very effective in various information services companies offering climax movie which is searched.

• Journal of Digital Convergence
• /
• v.11 no.7
• /
• pp.305-312
• /
• 2013

The purpose of this qualitative study is to analyze the experience of multicultural couples who participated in the movie making educational activity within the program "Communication Development among Multicultural and Indigenous Couples Through Intercultural Praxis." This program was held for 8 months from March 10, 2012 to November 11, 2012. Among the participants, 4 couples agreed for both individual and group interviews and provided data for this paper. The interview result can be categorized into the following four: quality relationship, acceptance and support, positive thinking, and accomplishment.