• The Journal of the Korea Contents Association
• /
• v.17 no.1
• /
• pp.750-758
• /
• 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.

• Proceedings of the KSRS Conference
• /
• 2004.10a
• /
• pp.730-733
• /
• 2004

Recently XML (eXtensible Markup Language) is becoming the standard for exchanging the documents on the web. And as the amount of information is increasing because of the development of the technique in the Internet, semantic web is becoming to appear for more exact result of information retrieval than the existing one on the web. Ontology which is the basis of the semantic web provides the basic knowledge system to express a particular knowledge. So it can show the exact result of the information retrieval. Ontology defines the particular concepts and the relationships between the concepts about specific domain and it has the hierarchy similar to the taxonomy. In this paper, we propose the generation of semi-automatic ontology based on XML documents that are interesting to many researchers as the means of knowledge expression. To construct the ontology in a particular domain, we suggest the algorithm to determine the domain. So we determined that the domain of ontology is to extract the information of movie on the web. And we used the generalized association rules, one of data mining methods, to generate the ontology, using the tag and contents of XML documents. And XTM (XML Topic Maps), ISO Standard, is used to construct the ontology as an ontology language. The advantage of this method is that because we construct the ontology based on the terms frequently used documents related in the domain, it is useful to query and retrieve the related domain.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.6
• /
• pp.207-212
• /
• 2007

Recently, requriements that people want to receive various information related with fashion are increasing. A lot of internet shopping malls and corporations provide information about fashion. However, those systems do not give enough information about fashion. To solve these problems, the paper provides the recommend technique for providing complex fashion information on mobile devices. The providing system implements fasion ontology by using XML. The XML ontology has dewey number as an attribute. The recommend technique uses this number and find LCA(Lowest Common Ancestor) on the fashion ontology. Then those child nodes under the LCA are recommended as related information. The results are displayed on the mobile browser. The system provides function for taking a picture or movie of fashion contents. Those movies and pictures are UCC(User Created Content)s. The system is a novel system that can recommend complex fasion information on mobile devices.

• Journal of Digital Convergence
• /
• v.18 no.5
• /
• pp.433-440
• /
• 2020

Afrofuturism was born under the combination of the elements of African culture, sci-fi novels, history, afrocentrism and Magic Realism. The aim of this study is to sort out the concepts and characteristics of Afrofuturism basing on the artistic elements appearing in Black Panther. The method is to investigate the academic papers, periodicals, singles and the Internet research related to African culture, Afrofuturism and American superheroes first. And then make the analyzation of the design of uniforms of the major characters in the movie as cases. The result is : First, the resistance of art for social minorities, second, the establishment of identity of black art through the reactionary effect of culture, and third, the artistic healing through SF fantasy.

• The Journal of Korean Society for School & Community Health Education
• /
• v.6
• /
• pp.75-87
• /
• 2005

The purpose of this study was to describe elementary school students' health communication needs based on school-based health fairs by students' demographic characteristics and school health education experiences. A self-administered survey was conducted to a total of 851 fifth-grade students in 8 elementary schools in Seoul. For survey participant sampling, Seoul area was divided into four districts: north, south, east, and west, and two elementary schools were selected from each district by the stratified convenient sampling process. Three class 5th-grade students in each selected school finished the survey. Questionnaires and survey instruction letters were delivered to vice-principals in the designated schools and the vice-principals managed the survey process. The survey Questionnaire included demographic characteristics (sex, parent's marital status, parents' educational status, famil financial status, the person whom was with after school, and daily computer hour), health education experiences (health education at school, and school health education satisfaction), and health communication types. The health communication types were reorganized into eight types based on comprehensive literature review on health fairs (or child and adolescence. The health communication types were 'health exam and advice fair,''health promotion advertising and campaign,' 'health-related exhibition and experience fair,' 'profession visit-in-school education,' 'health-related VCR or movie festival,' 'health-related institute visits,' 'internet health counseling,' and 'telephone health counseling.' Regarding demographic characteristics, sex, family financial status, and academic performance were significant factors related to health communication need scores (p <.05). Girl, high level of family financial status, and excellent academic performance score were related to high score of health communication need. In terms of school health education experience, taking regular class for health education and satisfaction with school health education were linked to higher health communication need scores. This result discusses that experience and satisfaction with school health education largely contribute to building participants' health communication concepts and needs.

• International journal of advanced smart convergence
• /
• v.10 no.2
• /
• pp.108-122
• /
• 2021

With the development of 3D graphics software and the speed of computer hardware, it is an era that can be realistically expressed not only in movie visual effects but also in console games. In the production of such realistic 3D models, 3D scans are increasingly used because they can obtain hyper-realistic results with relatively little effort. Among the various 3D scanning methods, photogrammetry can be used only with a camera. Therefore, no additional hardware is required, so its demand is rapidly increasing. Most 3D artists shoot as many images as possible with a video camera, etc., and then calculate using all of those images. Therefore, the photogrammetry method is recognized as a task that requires a lot of memory and long hardware operation. However, research on how to obtain precise results with 3D photogrammetry scans is insufficient, and a large number of photos is being utilized, which leads to increased production time and data capacity and decreased productivity. In this study, point cloud data generated according to changes in the number and resolution of photographic images were produced, and an experiment was conducted to compare them with original data. Then, the precision was measured using the average distance value and standard deviation of each vertex of the point cloud. By comparing and analyzing the difference in the precision of the 3D photogrammetry scans according to the number and resolution of images, this paper presents a direction for obtaining the most precise and effective results to 3D artists.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.4
• /
• pp.537-542
• /
• 2021

Smart TVs provide a variety of services and information compared to existing TVs based on the Internet. In order to provide more personalized services or information, it is necessary to analyze users' viewing patterns and provide customized services or information based on them. The proposed system receives the user's TV viewing pattern, analyzes it, and recommends a TV program or movie as customized information to the user. For this, the system was constructed with a preprocessor and a deep learning model. The preprocessor refines the name of the TV program watched by the user, the date the TV program was watched, and the watched time. Then, the multi-attribute LSTM model trains the refined data and performs prediction.The proposed system is a system that provides customized information to users, and is believed to be a leading technology in digital convergence that combines existing IoT technology and deep learning technology.

• Smart Media Journal
• /
• v.13 no.2
• /
• pp.62-67
• /
• 2024

Due to technological advancements in viewing devices and the COVID-19 pandemic, a lot of OTT-only content is being produced and distributed as people shift from traditional movie theater viewing and broadcasters' fixed TV viewing to free-form OTT viewing using wired and wireless internet. As a result, the ability to leverage data from OTT audiences has become critical to the competitiveness of the industry. However, third parties other than OTT content providers are facing difficulties in acquiring OTT viewer data. In this paper, as a way to overcome the shortcomings of existing viewer data acquisition, we propose a method to extract audio and video data by developing an OTT viewing data acquisition agent using Web APIs by adopting a web browser environment that does not affect the performance of OS and viewing devices, so that third-party companies that need viewing data can utilize it.

• Journal of Internet Computing and Services
• /
• v.17 no.3
• /
• pp.107-113
• /
• 2016

Following the recent advancement in the use of social networks, a vast amount of different online reviews is created. These variable online reviews which provide feedback data of contents' are being used as sources of valuable information to both contents' users and providers. With the increasing importance of online reviews, studies on opinion mining which analyzes online reviews to extract opinions or evaluations, attitudes and emotions of the writer have been on the increase. However, previous sentiment analysis techniques of opinion-mining focus only on the classification of reviews into positive or negative classes but does not include detailed information analysis of the user's satisfaction or sentiment grounds. Also, previous designs of the sentiment analysis technique only applied to one content domain that is, either product or movie, and could not be applied to other contents from a different domain. This paper suggests a sentiment analysis technique that can analyze detailed satisfaction of online reviews and extract detailed information of the satisfaction level. The proposed technique can analyze not only one domain of contents but also a variety of contents that are not from the same domain. In addition, we design a system based on Hadoop to process vast amounts of data quickly and efficiently. Through our proposed system, both users and contents' providers will be able to receive feedback information more clearly and in detail. Consequently, potential users who will use the content can make effective decisions and contents' providers can quickly apply the users' responses when developing marketing strategy as opposed to the old methods of using surveys. Moreover, the system is expected to be used practically in various fields that require user comments.

• Journal of Internet Computing and Services
• /
• v.12 no.2
• /
• pp.85-101
• /
• 2011

The recommender system analyzes users' preference and predicts the users' preference to items in order to recommend various items such as book, movie and music for the users. The collaborative filtering method is used most widely in the recommender system. The method uses rating information of similar users when recommending items for the target users. Performance of the collaborative filtering-based recommendation is lowered when attacker maliciously manipulates the rating information on items. This kind of malicious act on a recommender system is called 'Recommendation Attack'. When the evaluation data that are in continuous change are analyzed in the perspective of data stream, it is possible to predict attack on the recommender system. In this paper, we will suggest the method to detect attack on the recommender system by using the stream trend of the item evaluation in the collaborative filtering-based recommender system. Since the information on item evaluation included in the evaluation data tends to change frequently according to passage of time, the measurement of changes in item evaluation in a fixed period of time can enable detection of attack on the recommender system. The method suggested in this paper is to compare the evaluation stream that is entered continuously with the normal stream trend in the test cycle for attack detection with a view to detecting the abnormal stream trend. The proposed method can enhance operability of the recommender system and re-usability of the evaluation data. The effectiveness of the method was verified in various experiments.