• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.254-260
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• 2019

Recently, a self-camera that generates and distributes a large amount of moving images has been rapidly increasing due to the appearance of SNS such as Facebook, Instagram, and Tweet using mobile. In particular, the amount of SNS connections using mobile phones is significantly increasing in terms of usage, number of connections, and usage time. However, the use of a self-recording system using a smartphone by itself is extremely limited not only in terms of usage but also in frequency of use. In addition, the conventional unattended recording system is a very expensive system that automatically records and tracks an object to be photographed using an infrared signal. Therefore, this paper developed a low cost unmanned recording system using mobile phone. The system consists of a commercial mobile camera, a servomotor for moving the camera from side to side, a microcontroller for controlling the motor, and a commercial wireless Bluetooth earset for video audio input. And it is an unmanned automation system using mobile, and anyone can record image by self image tracking.

• Journal of Internet Computing and Services
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• v.15 no.5
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• pp.33-41
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• 2014

The purpose of this study is to provide statistical analysis based suggestions on effective methods to take advantage of social network service (SNS) for educational purposes based on investigations of undergraduate students with high utilization of SNS. To achieve this, we conducted an open questionnaire survey and qualitatively analyzed the data using NVivo 10 program. Additionally, to visualize the analysis by education subject of the SNS educational methods, we have divided the data into 3 categories of teacher, student and common area. As a result, our analysis showed that the exchange opinions and discussions, information sharing and learning of contents of questions and answers, surveys, intimacy formation, counseling etc. were of the common area. Furthermore, teacher area included the notice announcement, teaching materials sharing, real-time assessment (quiz), attendance check, assignment grading and feedback, etc. Finally the student area was of project activities (group/individual), prepare and review the shared data, video self learning, peer review and feedback of projects, lecture evaluation, etc.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.1-10
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• 2017

This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.

• Journal of Fashion Business
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• v.24 no.1
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• pp.75-87
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• 2020

The purpose of this study is to find trends in new media fashion content by analyzing the fashion content of the official Instagram accounts of domestic fashion magazines that are being transformed by digital media. The framework for these analysis of fashion content type and methods of production is based on one used in an earlier research project. Empirical analysis is conducted on Vogue Korea's official Instagram accounts, using the highest number of major views as the secondary measure of interest. After screening for fashion content in posts on the Vogue Korea account for four months, 291 short video postings were extracted to analyze the number of views the postings received. The results were categorized as 'star', 'show/exhibition', 'product', 'shop', 'fashion film', 'designer', or 'event', included in the data are the number of postings by type and the number of views by post. Based on the characteristics of the creator and the editing, the posts were classified into 'professional production highlight', 'professional production private', 'UCC' or 'GIF' videos, the number of views per post were also collected. The research results show different levels of interest depending on the type of fashion content, and also on the way the videos were produced. The study also investigated how the combination of these two factors affects interest. When producing a new media fashion content, combining a 'star' type post with 'professional production private' video content was most popular. The selection of production method is therefore important even given the same type of content.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.79-80
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• 2015

트위터, 페이스북 같은 소셜 네트워크 서비스(Social Network Service, SNS)를 이용한 커뮤니케이션 문화가 영화나 드라마의 홍보뿐만 아니라 작품과 팬들 간의 연대를 강화시켜주는 중요한 수단으로 주목받고 있다. 이에 본 논문은 구체적인 사례로 NBC와 AXN에서 2013년 내놓은 13부작 <한니발(Hannibal)>(NBC, 2013~)의 제작자 브라이언 풀러(Bryan Fuller)와 팬들 간의 트위터를 이용한 커뮤니케이션 양상을 살펴보았다. 본 연구를 통해 풀러와 팬들 간의 소통은 SNS와 맞물린 드라마 수용 형태의 변화를 보여주는 유용한 사례라는 점을 알 수 있었고, 속성상 선형성과 일방향성이 강한 콘텐츠가 어떻게 체험의 콘텐츠로 변모할 수 있는지를 확인할 수 있었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.25-30
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• 2022

This study is a study on the filter bubble reinforcement phenomenon of SNS recommendation algorithm such as YouTube, which is a characteristic of the Russian-Ukraine war (2022), and the victory or defeat factors of the hybrid war. This war is identified as a hybrid war, and the use of New Media based on the SNS recommendation algorithm is emerging as a factor that determines the outcome of the war beyond political leverage. For this reason, the filter bubble phenomenon goes beyond the dictionary meaning of confirmation bias that limits information exposed to viewers. A YouTube video of Ukrainian President Zelensky encouraging protests in Kyiv garnered 7.02 million views, but Putin's speech only 800,000, which is a evidence that his speech was not exposed to the recommendation algorithm. The war of these SNS recommendation algorithms tends to develop into an algorithm war between the US (YouTube, Twitter, Facebook) and China (TikTok) big tech companies. Influenced by US companies, Ukraine is now able to receive international support, and in Russia, under the influence of Chinese companies, Putin's approval rating is over 80%, resulting in conflicting results. Since this algorithmic empowerment is based on the confirmation bias of public opinion by 'filter bubble', the justification that a new guideline setting for this distortion phenomenon should be presented shortly is drawing attention through this Russia-Ukraine war.

• Journal of Industrial Convergence
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• v.20 no.4
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• pp.31-37
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• 2022

Research on what factors affect the success of the movie market is very important for reducing risks in related industries and developing the movie industry. In this study, in order to find out the degree of correlation of independent variables that affect movie performance, a survey was conducted on film experts using the AHP method and the importance of each measurement factor was evaluated. In addition, we hypothesized that factors derived from big data related to search portals and SNS will affect the success of movies due to the increase in the spread and use of smart phones. And a prediction model that reflects both the expert survey information and big data mentioned above was proposed. In order to check the accuracy of the prediction of the proposed model, it was confirmed that it was improved (10.5%) compared to the existing model as a result of verification with real data.Therefore, it is judged that the proposed model will be helpful in decision-making of film production companies and distributors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2827-2848
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• 2012

Previously, we described a social media cloud computing service environment (SMCCSE). This SMCCSE supports the development of social networking services (SNSs) that include audio, image, and video formats. A social media cloud computing PaaS platform, a core component in a SMCCSE, processes large amounts of social media in a parallel and distributed manner for supporting a reliable SNS. Here, we propose a Hadoop-based multimedia system for image and video transcoding processing, necessary functions of our PaaS platform. Our system consists of two modules, including an image transcoding module and a video transcoding module. We also design and implement the system by using a MapReduce framework running on a Hadoop Distributed File System (HDFS) and the media processing libraries Xuggler and JAI. In this way, our system exponentially reduces the encoding time for transcoding large amounts of image and video files into specific formats depending on user-requested options (such as resolution, bit rate, and frame rate). In order to evaluate system performance, we measure the total image and video transcoding time for image and video data sets, respectively, under various experimental conditions. In addition, we compare the video transcoding performance of our cloud-based approach with that of the traditional frame-level parallel processing-based approach. Based on experiments performed on a 28-node cluster, the proposed Hadoop-based multimedia transcoding system delivers excellent speed and quality.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.316-317
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• 2017

본 논문에서는 영화산업에서 사용되고 있는 바이럴 영상의 발전 방향을 알아보고자 한다. 영화에서 사용되는 바이럴 영상은 네티즌의 입소문에 근거하여 영화를 미리 알리고자 하는 목적으로 제작되며 그 유형은 크게 인터뷰, 거짓뉴스 등으로 구분된다. 바이럴 마케팅과 연관되어 결국 적은 투자로 많은 효과를 거두는 것이 필요하다고 보면 영화산업에서 사용되는 바이럴 영상에 대해서도 체계적인 분석과 연구가 필요하다. 본 연구에서는 바이럴 영상의 기존 영화 적용에 대해서 알아보고 최근의 스토리기반 바이럴 영상에 대해 알아본다. 스토리기반 바이럴 영상은 제작에 많은 분석이 필요하다. SNS점유율에 따른 특성도 고려되어야 한다. 기존의 인터뷰나 뉴스보다는 새로우면서도 영화에 대한 직접적인 관심을 이끌어 낼 수 있다는 새로운 방식에 대해서도 발전방향을 알아보아야 한다.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.3
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• pp.137-147
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• 2019

The purpose of this study, I investigate the new trend, 'new-tro', through the music video costumes of young generations, and analyze the meaning and characteristics of 'new-tro'. The research method is, select 30 music video with new-tro fashion style on the music sites, and the fashion styles were analyzed in 11 music videos checked and selected by 100 students. As a definition of the term, 'retro' refers to a phenomenon in which the past reappears in modern time, and 'new-tro' is a new retro trend, a social phenomenon that enjoys the old with a modern sense, and is a compound word of 'new' and 'retro'. 'new-tro' is a modern reinterpretation and rebirth of the past style, and 'fu-tro' is a style of coexistence between the past and the future. In the music video, fashion is a media language and cultural code, and it creates trend or new fashion, that communicates with the public, stimulating emotions. As a result of the research, the common trend phenomenon expressed in the music video costume of 'new-tro' trend which appeared in 2000s is as follows. 1. New-tro style starts with items that were famous in the past. 2. It is one of postmodern marketing using color, print and logo. 3. It spreads quickly by the influence of culture that is characteristic of the Internet and SNS world. 4. It is bottom up propagation phenomenon of street fashion. 5. It is a time game where modern people connect the past with the present. 6. "new-tro" continues to evolve for that time, based on 'retro'. New-tro, an evolutionary version of the 21st century retro wave. and it is a key to marketing effectiveness as a sympathetic elements of 1020 generations with the reproduction of memories.