• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1716-1722
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• 2021

Recently, the capacity of video content delivery services has been increasing significantly. Therefore, the importance of user recommendation is increasing. In addition, these contents contain a variety of characteristics, making it difficult to express the characteristics of the content properly only with a few keywords(Elements used in the search, such as titles, tags, topics, words, etc.) specified by the user. Consequently, existing recommendation systems that use user-defined keywords have limitations that do not properly reflect the characteristics of objects. In this paper, we compare the efficiency of between a method using voice data-based subtitles and an image comparison method using keyframes of images in recommendation module of educational video service systems. Furthermore, we propose the types and environments of video content in which each analysis technique can be efficiently utilized through experimental results.

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

• The Journal of the Korea Contents Association
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• v.7 no.11
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• pp.52-58
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• 2007

The game software development involves planning, programming and graphics. Between planning and programming, software analysis and design is essential and plays the role of a bridge. This article analyzes, for game software, the applicability of formal methods, which are widely used in general software engineering fields. Since the effective communication between game planners and game developers is crucial, appropriate application of formal methods give us a lot of benefits in view of development cost and software quality.

• Journal of Korea Game Society
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• v.19 no.2
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• pp.55-66
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• 2019

This research studied how game contents related experts recognize the transition of contents industries in intellectual information era. This study also studied experts' priorities of evaluation elements in contents industry policies. For this, Analytic Hierarchy Process was utilized to analyze the relative importance and priorities of evaluation elements in contents industry policies. According to the analysis, the order of priorities was 'strengthening content technology', 'training content experts', 'improving the contents-related system' and 'strengthening content usage and consumer safety'. Also, in complex importance analysis, 'strengthening R&D system for content' was gauge as the most important element. In the analysis about each related group's thinking, industries and policy institutes considered 'strengthening content technology' important and academia evaluated 'training content experts' as the most important one.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.404-414
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• 2017

With the development of smartphones and online social networks, users produce a lot of contents and share them with each other. Therefore, users spend time by viewing or receiving the contents they do not want. In order to solve such problems, schemes for recommending useful contents have been actively studied. In this paper, we propose a contents recommendation scheme using collaborative filtering for users on online social networks. The proposed scheme consider a user trust in order to remove user data that lower the accuracy of recommendation. The user trust is derived by analyzing the user activity of online social network. For evaluating the user trust from various points of view, we collect user activities that have not been used in conventional techniques. It is shown through performance evaluation that the proposed scheme outperforms the existing scheme.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.105-106
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• 2019

본 연구는 토픽모델링 기법을 국가의 연구개발 프로젝트에 적용하여 클러스터링하고 네트워크 분석을 통해 개별 클러스터와 R&D프로젝트를 평가하는 것에 관한 것이다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.68-79
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• 2011

This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposing technique proved that the actual performance is excellent by comparison experiment with other techniques. Performance evaluation of function extracting positive/negative opinion information, the performance evaluation applying dynamic window technique and tokenizer technique for multilingual information retrieval, and the performance evaluation of technique extracting exact multilingual phonetic translation are carried out. The experiment with typical movie review sentence and Wikipedia experiment data as object as that applying example is carried out and the result is analyzed.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.58-66
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• 2014

It is one of the representation technique very common to be used, such as visual communication, a variety of cultural content, anthropomorphic, is dependent on the anthropomorphic approach most content for children in particular. In addition, personification can see a variety of cases in the field of culture and art of many other operations, including literature and poetry. By analyzing the case of reverse personification and anthropomorphic when transmitting content and image of the language that was meant, of anthropomorphic elements, which can be reverse action and an equal effect between those non-human and human it is possible to confirm that. Therefore, in this paper, we redefine the concept and elements of anthropomorphic, it defines the concept of anthropomorphic station on the basis of this, and were analyzed for the case. In addition, among the cases of good quality that communicate with anthropomorphic approach the station, the character analysis short animation of "The Employment employment", be used as academic materials of anthropomorphic approach the station of visual culture content areas of future possible.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.313-314
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• 2017

이 논문에서는 DNA 분석단계 중 하나인 DNA 리드(Read)에 대한 중복제거 방법을 분산 병렬처리 기법을 적용하여 가속화하는 방법을 제안한다. 기존 제안된 중복제거 기법을 Spark을 기반으로 병렬처리 되도록 하는 접근방법을 취한다. 제안하는 기법은 실험을 통해서 기존 중복제거 기법과 비교하여 성능을 입증한다.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.45-46
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• 2012

본 논문은 '사실주의' 계열영화에 나타난 극영화 촬영기법을 파악하여 내러티브의 극적표현과 시각적 연출법을 분석해 보는 것이 연구의 내용과 목적이다. 이는 한국영화역사라는 큰 흐름 안에서 촬영기법의 변화를 진단해 보고, 촬영자의 주요 표현수단중의 하나인 구도기법이 현대영화에서 어떻게 적용되고, 관객의 감정이입을 유도하는지를 탐구해 본다. 이는 현대예술영화에서 다루는 인간소외와 고립, 내적갈등의 문제들을 시각적으로 어떻게 형상화하고, 상징화하느냐의 방식과 그 중요성을 인식하는 것을 의미한다.