• Journal of information and communication convergence engineering
• /
• v.11 no.2
• /
• pp.103-111
• /
• 2013

Given the lack of suitable quality evaluation standards for educational serious games (designed for both entertainment and instruction), we designed a development framework for evaluation standards of educational serious games and proceeded to develop standards in accordance with our proposed procedure. Our standards were designed to evaluate the quality of both technical and non-technical elements of educational serious game software products. We conducted a survey on the need for individual elements of the standard. Participants rated the need for each element on a five-point Likert scale. We then performed a reliability analysis of the survey results. Based on the survey results, we established a final standard for quality evaluation composed of 9 main elements and 31 sub-elements. The results of our research will contribute useful information to users as well as to the developers of educational serious games.

• The Journal of the Korea Contents Association
• /
• v.11 no.10
• /
• pp.59-68
• /
• 2011

As the role of soccer game analyst who analyzes soccer games and creates soccer wining strategies is emphasized, it is required to have high-level analysis beyond the procedural ones such as main event detection in the context of IT based broadcasting soccer game research community. In this paper, we propose a novel approach to generate the high-level in-depth analysis results via real-time text based soccer Webcast and text mining. Proposed method creates a metadata such as attribute, action and event, build index, and then generate available knowledges via text mining techniques such as association rule mining, event growth index, and pathfinder network analysis using Webcast and domain knowledges. We carried out a feasibility experiment on the proposed technique with the Webcast text about Spain team's 2010 World Cup games.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2012.07a
• /
• pp.301-302
• /
• 2012

본 논문에서는 웹 서버에 사진을 등록(upload)하면 서버에서 자동으로 사진의 메타데이터(EXIF)의 GPS정보를 추출하여 미리 정이된 정보와 비교하여 사진이 촬영된 장소를 표시하고, 좌표 값을 활용하여 구글 지도(google map)과 연계되는 방법을 제안한다. 사진등록으로 사용되는 서버 웹페이지로는 php를 사용하여 그림을 등록하고, exif_read_data함수를 사용하여 메타데이터에 접근하고 메타데이터 안의 GPS의 값을 추출하여 정의된 분류표에 의해 사진을 분류하고, 구글지도와 연계하여 촬영된 위치를 지도상에서도 확인할 수 있도록 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.2
• /
• pp.695-712
• /
• 2021

As the use of smart devices is being increased rapidly by the development of internet and IT technology, the contents production and utilization rate are showing higher increase, too. In addition, the type of contents also shows very diverse forms such as education, game, video, UCC, etc. In the meantime, the contents are reproduced in diverse forms by reprocessing the original contents, and they are being serviced through the contents service platform. Therefore, the platform to make the contents reprocessing easy and fast is needed. As the diverse contents distribution channels such as YouTube, SNS, App Service, etc, easier contents distribution platform is needed, and the development of the relevant area is expected. In addition, as the selective consumption of the contents having easy accessibility through diverse smart devices is distinguished, the demand for the platform and service that can identify the contents consumption propensity by individual is being increased. Therefore, in this study, to vitalize the online contents distribution, the contents reproduction and publishing platform, was designed and materialized, which can reproduce and distribute the contents based on the real-time contents editing technology in URL unit and the consumer propensity analysis technology using the data management-based broadcasting contents distribution metadata technology and the edited image contents streaming technology. In addition, in the results of comparing with other platforms through the experiment, the performance superiority of the suggested platform was verified. If the suggested platform is applied to the areas of education, broadcasting, press, etc, the multi-media contents can be reproduced and distributed easily, through which the vitalization of contents-related industry is expected.

• Electronics and Telecommunications Trends
• /
• v.37 no.4
• /
• pp.70-80
• /
• 2022

With the rapid growth in media service platforms providing broadcast programs or content services, content production has become more important and competitive. As a strategy to meet the diverse needs of global consumers for a variety of content and to retain them as long-term repeat customers, global over-the-top service providers are increasing not only the number of content productions but also their production efficiency. Moreover, a considerable amount of scene composition in the flow of content production work appears to be combined with rendering technology from a game engine and converted to object-based computer programming, thereby enhancing the creativity, diversity, quality, and efficiency of content production. This study examines the latest technology trends in content production such as virtual studio technology, which has emerged as the center of content production, the use cases in various fields of artificial intelligence, and the metadata standards for content search or scene composition. This study also examines the possibility of using object-based computer programming as one of the future candidate technologies for content production.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.5
• /
• pp.897-904
• /
• 2022

Sports video is a very critical information resource. High-precision extraction of effective segments in sports video can better assist coaches in analyzing the player's actions in the video, and enable users to more intuitively appreciate the player's hitting action. Aiming at the shortcomings of the current sports video clip extraction results, such as strong subjectivity, large workload and low efficiency, a classification method of sports video clips based on MobileNetV3 is proposed to save user time. Experiments evaluate the effectiveness of effective segment extraction. Among the extracted segments, the effective proportion is 97.0%, indicating that the effective segment extraction results are good, and it can lay the foundation for the construction of the subsequent badminton action metadata video dataset.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.11
• /
• pp.2125-2130
• /
• 2016

In this paper, we researched the excellency of 3D graphic nursery contents which is developed by mobile AR technology. AR technology has currently people's attention because of the potential to be core contents of future ICT industry. We applied AR nursery contents for kid's subtitle language selection in Korean, Chinese and English education. The original fairy tale consisted of 6~8 scenes for the 3D contents production, and was adapted and translated. Dubbing was dubbed by the native speaker using the standard pronunciation, and the effect sound was edited separately to fit the scene. After composing a scenario, constructing a 3D model, constructing a interaction, constructing a sound effect, and creating content metadata, the Unity 3D game engine is executed to create a project and describe it as a script. It provides a fun and informative tradition of fairy tales with abundant content that incorporates ICT technology, accepting advanced technology-based education, and having opportunities to perceive software in daily life.