• Journal of the Korean Home Economics Association
• /
• v.42 no.12 s.202
• /
• pp.123-140
• /
• 2004

The purpose of this study was to explore the unfairness of adhesion contracts for internet contents service. The internet contents were classified into six types of avatar, learning, download, e-book and movie internet sites. The adhesion contracts of internet contents service were collected in 60 internet sites. The unfairness of the adhesion contract was reviewed under the adhesion contract regulation act. The major results were as follows. First, the obligation of clear statement, explanation, and delivery was not observed completely. Second, many articles of adhesion contract were unfair and they especially violated articles 7 and 9. Therefore, the standard adhesion contract system for internet content service should be enforced and self-regulation of information service providers is needed.

• Journal of Korea Multimedia Society
• /
• v.20 no.7
• /
• pp.1148-1155
• /
• 2017

This study examined the storytelling characteristics of the super-compressed web drama "72 seconds". By analyzing all seasonal episodes of "72 seconds" and applying the various storytelling methodologies and related theories, this paper derived the main storytelling characteristics of "72 seconds" as follows. First, through the composition of the microscopic non-plot, the story value of empathy and fun is maximized, even though there is no dramatic composition compared to the general movie or drama. Second, by the specialization of everyday life, it leads to the transition from everyday experience to the new context. In other words, it provides a consensus through the cognitive expansion and interest by unfamiliarity of the ordinary experience to the audience. Third, based on the characteristics of super-compression and short theme, it utilizes fully stylistic narration like rapping. This makes the audience feel novel and further enhances the branding effect of content. And finally, based on various hybridity and variation, it uses remediation actively in all respects, especially comedy genre and comic factor.

• Proceedings of the KSRS Conference
• /
• 1998.09a
• /
• pp.280.1-285
• /
• 1998

The earth's environmental problems have attracted serious attention worldwide. Various kinds of environmental data, such as remote sensing data, have become available for examining. Although this data is crucial to understanding such problems, there has become an over-abundance in variety of size, format, and filetype which makes it difficult for researchers to handle. We feel that earth environmental researchers should not be burdened by such cumbersome tasks. Therefore, we are developing a digital library for earth environmental information and a VRML based data visualization system for it. Even now, content-based image retrieval systems have many problems attributed to the degree of difficulty in implementing them. Thus, we are trying to visualize this data so that researchers can utilize it more efficiently, effectively, and easily. A great advantage for VRML users is that people can see environmental data from any perspective above the earth and with any resolution easily. Also by using MPEG-movie, users can observe the changes of data drawn from time series files.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06c
• /
• pp.269-272
• /
• 2011

추천은 다양한 컨텐츠 중에서 사용자가 원하는 것을 선택할 수 있도록 돕는 것이다. 이러한 추천은 광고주가 자신의 광고에 적절한 컨텐츠를 찾을 때에도 활용될 수 있다. 본 논문에서는 광고를 표현하는 태그와 영화를 나타내는 주제어들을 매칭하여 광고에 적합한 영화를 추천하는 문제를 다룬다. 이 문제의 경우, 광고를 표현하는 태그의 개수가 적고, 영화의 주제어와 성격이 다른 경우가 많아 단순 매칭을 활용한 추천 기법으로는 결과를 얻을 수 없는 경우도 존재한다. 우리는 이러한 문제를 완화하기 위해 키워드 확장을 통한 추천 기법을 제안한다. 구체적으로 각 영화 컨텐츠가 가진 주제어를 위키피디아를 통해 검색하고 이를 통해 주제어를 확장한다. 광고의 태그 또한 위키피디아 검색을 통해 확장한다. 이렇게 확장된 영화 주제어와 광고 태그를 연관성 규칙에 기반하여 매칭한다. 실험 결과 단순 매칭보다 제안한 확장을 통한 매칭이 37.5%의 성능 향상을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.8
• /
• pp.4090-4102
• /
• 2018

After emerging online communications, text mining and sentiment analysis has been frequently applied into analyzing electronic word-of-mouth. This study aims to develop a domain-specific lexicon of sentiment analysis to predict box office success in Korea film market and validate the feasibility of the lexicon. Natural language processing, a machine learning algorithm, and a lexicon-based sentiment classification method are employed. To create a movie domain sentiment lexicon, 233,631 reviews of 147 movies with popularity ratings is collected by a XML crawling package in R program. We accomplished 81.69% accuracy in sentiment classification by the Korean sentiment dictionary including 706 negative words and 617 positive words. The result showed a stronger positive relationship with box office success and consumers' sentiment as well as a significant positive effect in the linear regression for the predicting model. In addition, it reveals emotion in the user-generated content can be a more accurate clue to predict business success.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10a
• /
• pp.10-12
• /
• 2003

Recommender systems help consumers to find the useful products from the overloaded information. Researchers have developed content-based recommenders, collaborative recommenders, and a few hybrid systems. In this research, we extend the classic collaborative recommenders by clustering method to form a hybrid recommender system. Using the clustering method, we can recommend the products based on not only the user ratings but also other useful information from user profiles or attributes of items. Through our experiments on well-known MovieLens data set, we found that the information provided by the attributes of item on the item-based collaborative filter shows advantage over the information provided by user profiles on the user-based collaborative filter.

• International journal of advanced smart convergence
• /
• v.11 no.2
• /
• pp.71-76
• /
• 2022

The continuous development of virtual reality technology in the last five years has brought about a big change in the future film industry. Interactive VR movies using virtual reality technology in movies showed the result of increasing the immersion of the audience due to the characteristics of interaction. This will provide a unique opportunity for a new experience of immersion in various forms of cinema in the near future. In this paper, the interaction of narrative VR movies was studied as an example of the movie , which won the [The Best VR Experience Award] at the Venice International Film Festival, In future development, improve the scene transition, Dizziness, Ways of interaction and other questions, let the audience increase the sense of participation, immersion and curiosity when watching movies, and make watching movies a more interesting thing in life.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.406-409
• /
• 2023

With the explosion of information, recommendation algorithms are becoming increasingly important in providing people with appropriate content, enhancing their online experience. In this paper, we propose a recommender system using advanced deep reinforcement learning(DRL) techniques. This method is more adaptive and integrative than traditional methods. We selected the MovieLens dataset and employed the precision metric to assess the effectiveness of our algorithm. The result of our implementation outperforms other baseline techniques, delivering better results for Top-N item recommendations.

• International Journal of Advanced Culture Technology
• /
• v.11 no.4
• /
• pp.322-327
• /
• 2023

Recent advances in augmented reality (AR) and virtual reality (VR) technologies have led to a significant increase in metaverse platforms. Metaverses are setting a new direction for the digital world. This paper examines the phenomenon of virtual worlds that are becoming an issue these days, focusing on [Ready Player One]. One of the common features of the metaverse platform in [Ready Player One] and the platforms currently in use is the concept of open world. This is a feature that goes beyond simply moving around in a virtual world and allows users to freely reset, participate in, and control the environment. This innovative concept is a hallmark of metaverse platforms, and it is becoming increasingly important and influential. Through this study, we focused on the [open world system] of the platform in the movie and the modern metaverse platform, and suggested and studied how the scalability of the metaverse will present a turning point in the future.

• Journal of Industrial Convergence
• /
• v.19 no.6
• /
• pp.49-57
• /
• 2021

Digital Signage and multi-view image system are used as the 4th media to deliver stories and information due to their strong immersion. A content image displayed on large Digital Signage is produced with the use of computer graphics, rather than reality image. That is because the images shot for content making have an extremely limited range of production and their limitation to high resolution, and thereby have difficulty being displayed in a large and wide Digital Signage screen. In case of Screen X and Escape that employ the left and right walls of in the center a movie theater as a screen, images are shot with three cameras for Digital Cinema, and are screened in a cinema with multi-view image system after stitching work is applied. Such realistic images help viewers experience real-life content. This research will be able to display high-resolution images on Digital Signage without quality degradation by using the multi-view image making technique of Screen X and Chroma key technique are showed the high-resolution Digital Signage content making method.