• Journal of Digital Convergence
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• v.17 no.7
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• pp.341-349
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• 2019

Today, art education needs education of media image production or media in the extended field. The purpose of this study is to develop the basic visual grammar and communication ability. We developed and applied the teaching plan for the interview video production as the fusion lesson. 3 classes were conducted for 30 middle school students. The results obtained through the analysis of the pre & post questions and student works are as follows. First, the students used the shot size and stable composition through the interview video production. As a result, this class was effective for the acquisition of the basic video grammar. Second, students improved their ability to ask and listen, understand and organize through interview. As a result, students were able to apply the basic video grammar through the interview video production lesson, effectively producing the interview image.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.212-218
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• 2022

In this paper, the necessity of AI video interview arises when conducting an interview for acquisition of excellent talent in a non-face-to-face situation due to similar situations such as Covid-19. As a matter to be supplemented in general AI interviews, it is difficult to evaluate the reliability and qualitative factors. In addition, the AI interview is conducted not in a two-way Q&A, rather in a one-sided Q&A process. This paper intends to fuse the advantages of existing AI interviews and video interviews. When conducting an interview using AI image analysis technology, it supplements subjective information that evaluates interview management and provides quantitative analysis data and HR expert data. In this paper, image-based multi-modal AI image analysis technology, bioanalysis-based HR analysis technology, and web RTC-based P2P image communication technology are applied. The goal of applying this technology is to propose a method in which biological analysis results (gaze, posture, voice, gesture, landmark) and HR information (opinions or features based on user propensity) can be processed on a single screen to select the right person for the hire.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.147-161
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• 2022

Video on demand (VOD) platforms provide immersive, inspiring, and commercial-free binge watching experiences. Recently, the number of these platform users increased dramatically as users can enjoy various contents without physical and time constraints during COVID-19. However, such platforms do not provide sufficient video censorship services while there is a strong need. In this study, we investigated the users' desire for video censorship when choosing and watching movies on VOD platforms, and how video censorship can be applied to different types of scenes to increase the censoring effect without diminishing the enjoyment. We first conducted an online survey with 98 respondents to identify the types of discomfort while watching sexual, violent, or drug-related scenes. We then conducted an in-depth online interview with 18 participants to identify the effective video filtering types and regions for each of the three scenes. Based on the findings, we suggest implications for designing a censor application for videos that contain uncomfortable scenes.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.189-194
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• 2018

This study reflects the current trend of the blind hiring culture focused on job competency rather than education specification as government initiative. In order to overcome the limitation of the existing document-oriented online recruitment process, we proposed a system architecture design of video interview system. In addition, we have evaluated the effectiveness through the development of prototype and performance experiment based on it. The proposed online video interview system is designed to combine intelligent Web technology to enable customized job matching and distant job coaching. This system is designed to reduce recruitment cost and opportunity cost of job seekers. Based on results derived from this study, commercialization of the proposed video interview system can be expected to be an practical online recruitment solution for the job competency based employment.

• Journal of the Korea Safety Management & Science
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• v.3 no.3
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• pp.143-149
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• 2001

With the development of computer technologies and the increase of internet users, Internet plays an important role in job-recruitment business. However, almost of the sites which provide job offering and job hunting service, merely have the function such as simple inquiry for information corresponding to job offering and job hunting. In this research, the online website whose task is supporting whole procedure of recruitment for real enterprises is constructed to apply the interview procedures of the real enterprises through internet. We utilize the video conference to increase the reality for interview. Also it has functions such as presentation of application form and resume and self introduction using the video conference. Through the online recruitment website we can expect time and cost saving for recruitment for both sides of enterprise to hunt the person and people to seek the job.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.85-90
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• 2007

세계 이동 통신 시장은 점차 3G(세대)~3.5G(세대)로 전환되면서 세대 교체하고 있다. 3G 이동 통신의 대표 서비스인 화상전화는 음성통화와는 다른 새로운 커뮤니케이션이나 여러 가지 원인으로 일반화되지 않고 있는데, 그 원인 중 하나가 새로운 사용 경험과 사용 환경이 충분히 고려되지 않은 UI 라고 생각된다. 따라서, 본 조사에서는 한국, 일본, 영국, 이탈리아 등 4 개국을 대상으로 현재 출시된 화상전화 제품에 대하여 실사용자 FGI 와 설문, In-depth interview 등을 통해 사용자들의 화상전화 사용 경험을 조사하고, 조사를 통한 발견점을 통해 UI 설계 전문가 관점에서 향후 UI 에 대한 제안점을 찾아 보다 나은 화상전화 경험을 제공하기 위한 바탕으로 삼고자 한다.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1508-1511
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• 2007

This paper introduces a new texture prediction for MVC( Multi-view Video Coding) which is currently being developed as an extension of the ITU-T Recommendation H.264 | ISO/IEC International Standard ISO/IEC 14496-10 AVC (Advanced Video Coding) [1]. The MVC's prcimary target is 3D video compression for 3D display system, thus, key technology compared to 2D video compression is reducing inter-view correlation. It is noticed, however, that the current JMVM [2] does not effectively eliminate inter-view correlation so that there is still a room to improve coding efficiency. The proposed method utilizes similarity of interview residual signal and can provide an additional coding gain. It is claimed that up to 0.2dB PSNR gain with 1.4% bit-rate saving is obtained for three multi-view test sequences.

• Journal of Korean language education
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• v.29 no.2
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• pp.181-208
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• 2018

The aim of this study is to design a Real-time video Korean curriculum. Curriculum using real-time video, which is a variant of distance learning, teaches Korean to students studying in distant places through real-time video communication program. This is expected to supplement the lack of interaction in existing video classes and enable online simultaneous interaction, while increasing learning opportunities for Korean language students living in distance places. To find out the needs of the subjects for the curriculum design, this study conducted a one-on-one interview with 9 female married immigrants who are enrolled in the Cyber University which is opening a curriculum later. According to the survey, the students answered that they have a high intention of attending classes if the lack of interaction in existing distance classes are supplemented. Therefore, we could confirm the demand of a curriculum consisting of an overall real-time video education and multilateral individual connection. Also, we found out that there is a demand in performance rather than comprehension and a high demand for detailed feedback from the teacher. The result shows that the curriculum needs to establish performance-oriented contents to progress to an advanced level Korean Language, and include a study plain comprising of real-time interaction.

• IEIE Transactions on Smart Processing and Computing
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• v.3 no.3
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• pp.118-127
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• 2014

This paper presents an efficient motion and disparity prediction method for multi-view video coding based on the high efficient video coding (HEVC) standard. The proposed method exploits inter-view candidates for effective prediction of the motion or disparity vector to be coded. The inter-view candidates include not only the motion vectors of adjacent views, but also global disparities across views. The motion vectors coded earlier in an adjacent view were found to be helpful in predicting the current motion vector to reduce the number of bits used in the motion vector information. In addition, the proposed disparity prediction using the global disparity method was found to be effective for interview predictions. A multi-view version based on HEVC was used to evaluate the proposed algorithm, and the proposed correspondence prediction method was implemented on a multi-view platform based on HEVC. The proposed algorithm yielded a coding gain of approximately 2.9% in a high efficiency configuration random access mode.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.423-429
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• 2016

The study evaluates user experiences of YouTube and Vimeo, typical Video-sharing websites, to suggest guidelines that are more user-cantered and useful. I did some literature research followed with evaluation of theoretical backgrounds, present conditions and future services. Also, I used the six principles of "Creating Pleasurable Interface" by Stephen Anderson to conduct an in-depth interview. The results indicate that YouTube needs to improve availability of its functions and usability by reducing advertisement. Vimeo needs to improve its popularity by increasing popular contents and add relationship service such as personal broadcasting system and community services. I expect this study will become a good resource for upgrading user experiences of Video-sharing websites. I also believe that this study can guide other studies about user experience in other fields.