• Title/Summary/Keyword: OTT Use

Search Result 61, Processing Time 0.028 seconds

A Study on Bigdata Utilization in Cultural and Artistic Contents Production and Distribution (문화예술 콘텐츠 제작 및 유통에서의 빅데이터 활용 연구)

  • Kim, Hyun-Young;Kim, Jae-Woong
    • The Journal of the Korea Contents Association
    • /
    • v.19 no.7
    • /
    • pp.384-392
    • /
    • 2019
  • Big data-related research that deals with the amount of explosive information in the era of the Fourth Industrial Revolution is actively underway. Big data is an essential element that promotes the development of artificial intelligence with a wide range of data that become learning data for machine learning, or deep learning. The use of deep learning and big data in various fields has produced meaningful results. In this paper, we have investigated the use of Big Data in the cultural arts industry, focusing on video contents. Noteworthy is that big data is used not only in the distribution of cultural and artistic contents but also in the production stage. In particular, we first looked at what kind of achievements and changes the Netflix in the US brought to the OTT business, and analyzed the current state of the OTT business in Korea. After that, Netflix analyzed the success stories of 'House of Cards', which was produced / circulated through 'Deep Learning' cinematique, which is a prediction algorithm, through accumulated customer data. After that, FGI (Focus Group Interview) was held for cultural and artistic contents experts. In this way, the future prospects of Big Data in the domestic culture and arts industry are divided into technical aspect, creative aspect, and ethical aspect.

The Effects of Perceived Netflix Personalized Recommendation Service on Satisfying User Expectation (지각된 넷플릭스 개인화 추천 서비스가 이용자 기대충족에 미치는 영향)

  • Jeong, Seung-Hwa
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.7
    • /
    • pp.164-175
    • /
    • 2022
  • The OTT (Over The Top) platform promotes itself as a distinctive competitive advantage in that it allows users to stay on the platform longer and visit more often through a Personalized Recommendation Service. In this study, the characteristics of the Personalized Recommendation Service are divided into three categories: recommendation accuracy, recommendation diversity, and recommendation novelty. Then proposed a research model which affects the usefulness of users to recognize recommendation services by each characteristics and leads to satisfaction of expectations. The result of conducting an online survey of 300 people in their 20s and 30s who subscribe Netflix shows that the perceived usefulness increased when the accuracy, variety, and novelty of Netflix's Recommendation Service were high. It was also confirmed that high perceived usefulness leads to satisfaction of expectations before and after Netflix use. The derived research results can confirm the importance of evaluating the personalized recommendation service in terms of user experience and provide implications for ways to improve the quality of recommendation services.

The Impact of User Behavior, Contents, Function, Cost on Use Satisfaction and the Continued Use Intention of the N-screen Service Users (N 스크린 서비스의 이용행태, 콘텐츠, 기능, 비용이 이용 만족도와 지속이용의사에 미치는 영향에 관한 연구)

  • Kim, Dong-Woo;Lee, Yeong-Ju
    • Journal of Broadcast Engineering
    • /
    • v.18 no.5
    • /
    • pp.749-757
    • /
    • 2013
  • This study aims to find out the influences of user behavior, content characteristics, functional factors and user's perception in cost on user satisfaction and continuous intention in N-Screen service. Web survey was conducted for 498 users who have used N screen service. The results show that the most influential factor contributing to user satisfaction is user interface. VOD diversity, payment system, cost, channel diversity are also meaningful factors. Identifying the critical factors which impact on user satisfaction, this study can provide the basic data for activating OTT service in smart media environment.

Exploring the Possibility of Independent Film Development according to the Current Status of the Domestic OTT Market Centered on Netflix (넷플릭스를 중심으로한 국내 OTT 시장의 현황에 따른 독립영화 발전 가능성 모색)

  • Lee, Jeong-Hyeon;Jeong, Jae-Hyung
    • The Journal of the Korea Contents Association
    • /
    • v.20 no.8
    • /
    • pp.375-385
    • /
    • 2020
  • This paper attempts to understand the reality of Netflix on the Korean film distribution market environment, and to verify the possibility of developing domestic content centered on independent films in the OTT market, led by Netflix. The research significance of finding the way for Korean diverse films and independent films that cannot be provided with investment and distribution opportunities in various Korean Wave contents will be studied, and the characteristics of Netflix in the Korean film market will be explored. Netflix disseminates Korean contents such as Korean movies and Korean dramas, contributes to the spread of the Korean Wave, and is re-adjusting the paradigm of the distribution market, raising issues that cause a virtuous cycle of profits, controversy over net usage fees, and flooding of Hollywood movies. Considering the nature of intercultural exchange, the interaction between independent film content, Netflix platform, audience, and global market will expand interactive communication opportunities. In other words, just as Netflix uses the Korean media market to make profits, Korea should also use Netflix to try to expand the global market of Korean film contents (K-Film)and maintain a cultural and economic reciprocal attitude.

A Study on Critical Factor of Selecting Online Video Flatform by Using AHP (AHP 기법을 활용한 온라인 동영상 플랫폼의 선택 속성 연구)

  • Park, Seonho;Lee, Dasol;Park, Sohyun
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.42 no.4
    • /
    • pp.173-182
    • /
    • 2019
  • This study attempts to improve the understanding of the rapidly growing online video platform market such as Youtube and OTT, and to investigate the attributes and relative importance of them. For this purpose, the factors that influence the choice to use were derived through literature studies and the Focus Group Interview (FGI), and the priority of the factors was calculated through the analytic hierarchy process (AHP). The upper layer of the AHP structure was 'Relationship', 'Entertainment', 'Informativity', and 'Convenience', and the lower layer was structured into 13 elements. The importance priority analysis among the factors that influence the choice to use was done by teenagers, 20s, and 30s and the results are summarized as follows : First, Users consider the 'Just for fun' and 'Satisfaction of interests' as the most important factors, followed by 'Easy accessibility to use', 'Vicarious satisfaction', 'Usefulness of Information', and 'Up-to-dateness of information'. Second, the ranking of the upper layer was in the order of 'Entertainment'-'Informativity'-'Convenience'-'Relationship'.As a result of AHP,'Entertainment' was 3.6 times more important than 'Relationship'. In the comparison by age group, only teenagers regarded that 'Convenience' is more important than 'Informativity'. According to the characteristics of the age group, the lower layer of teenagers consider 'Convenient function' to be important and ranked 'Usefulness of information' in 8th. While 'Vicarious satisfaction' ranked 4th out of 13 factors in the entire age group, those in their 20s and 30s ranked 8th, showing a difference. In the case of 20s, 'Reasonable price' was ranked 4th and the 'Diversity of Information' was ranked 5th, Otherwise 30s consider 'Trustworthiness of Information' to the third. Third, unlike 'Convenience' which was the lower-rank in the upper layer AHP analysis, 'Easy accessibility to use', the lower-layer of convenience, ranked third overall in the importance analysis among the 13 lower-layer factors, and showed a similar patterns in the age groups results. In the conclusion, this study demonstrates that 'Convenience' and 'Vicarious satisfaction' factors, which were not relatively well addressed in the previous studies, are the key factors to be considered in. By presenting the results of the importance analysis on each of the selected attributes, This study has a practical implication that Industries such as on-line video service platform provider can use the importance priority in establishing the directions of future strategy.

Explicating Motivations & Attitudes Affecting the Persistent Intention to Adopt Binge-Watching (수용자의 몰아보기 이용동기와 지속적 이용의도에 영향을 미치는 영향 요인에 대한 연구)

  • Han, Sun Sang;Yu, Hongsik;Shin, Dong-Hee
    • The Journal of the Korea Contents Association
    • /
    • v.17 no.2
    • /
    • pp.521-534
    • /
    • 2017
  • In 2013 the Netflix, an OTT in USA, launched all at once 13 episodes of the House of Cards season. Binge-watching is the word which means watching continuously 2~6 episodes of a TV program with one sitting, the new normal of TV watching behavior, cultural and social currents all over the world. This study has analyzed the factors and motivations which affect to the persistent intention to use binge-watching. It conducted an online survey from 333 Quota sample from Korean age groups between 20th~60th with 81 questionnaires. The 5 groups were induced as motivation factors to binge-watching. The 3 groups which consisted of , , are affecting as positive to intention to use binge-watching. But the other 2 groups which are and doing as negative. The survey has shown that the persistent intention to binge-watching is affected by ages more younger, whom doing binge watching more frequently, whom estimating more higher to the conceived usefulness to use. As a theoretical model, expanded technology acceptance model was adopted and US drama House of Cards. This study could promote the next generation contents planning and S-VOD service industry.

Analysis of the Economic Ripple Effect of New Financial Input in the National Assembly FM Radio (국회 FM 라디오의 신규 재정 투입에 따른 경제적 파급 효과 분석)

  • Park, Sungmin
    • Journal of Broadcast Engineering
    • /
    • v.26 no.5
    • /
    • pp.575-582
    • /
    • 2021
  • This study would analyze the economic impact of the new financial input to the National Assembly FM Radio. Recently, with the 4th industrial revolution and the change in the new media paradigm, there are changes into multi-media and multi-channels, such as mobile, Internet, and OTT, etc. Reflecting these changing internal and external conditions, National Assembly Television, too, should introduce FM radio broadcasting so that the viewers can use the public services without spatial and temporal constraints. Thus, this study would conduct an analysis, estimating the budget required for investing the new government funding in the National Assembly FM Radio. As for the main analysis results, the coefficient of production inducement was 1.661; that of added value, 1.141; and that of employment inducement, 7.1. In the capital district, the effect on production inducement was 6.928 billion won; that on added value inducement, 4.758 billion won; and that on employment inducement, 28.4 persons. In addition, in the whole country, the effect on production inducement was 13.257 billion won; that on added value inducement, 9.106 billion won; and that on employment inducement, 49.7 persons.

Efficient Illegal Contents Detection and Attacker Profiling in Real Environments

  • Kim, Jin-gang;Lim, Sueng-bum;Lee, Tae-jin
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.16 no.6
    • /
    • pp.2115-2130
    • /
    • 2022
  • With the development of over-the-top (OTT) services, the demand for content is increasing, and you can easily and conveniently acquire various content in the online environment. As a result, copyrighted content can be easily copied and distributed, resulting in serious copyright infringement. Some special forms of online service providers (OSP) use filtering-based technologies to protect copyrights, but illegal uploaders use methods that bypass traditional filters. Uploading with a title that bypasses the filter cannot use a similar search method to detect illegal content. In this paper, we propose a technique for profiling the Heavy Uploader by normalizing the bypassed content title and efficiently detecting illegal content. First, the word is extracted from the normalized title and converted into a bit-array to detect illegal works. This Bloom Filter method has a characteristic that there are false positives but no false negatives. The false positive rate has a trade-off relationship with processing performance. As the false positive rate increases, the processing performance increases, and when the false positive rate decreases, the processing performance increases. We increased the detection rate by directly comparing the word to the result of increasing the false positive rate of the Bloom Filter. The processing time was also as fast as when the false positive rate was increased. Afterwards, we create a function that includes information about overall piracy and identify clustering-based heavy uploaders. Analyze the behavior of heavy uploaders to find the first uploader and detect the source site.

A Study on the Experiential Response of Short-Form Video Users

  • Lim, Dong Kyun
    • International journal of advanced smart convergence
    • /
    • v.10 no.4
    • /
    • pp.273-277
    • /
    • 2021
  • As society gradually enters a virtual, non-face-to-face society, the use of online content is increasing as well. In particular, as smartphones are thoroughly established in our daily life, the platforms of webtoons, mobile broadcasting, and education are shifting from personal computers to smartphones. Recently, the development of the Over-The-Top media service (OTT service) enabled streaming services of various media contents through the internet and activation of IPTV. Therefore, the rapid increase of popularity of short-form content is a natural phenomenon with smartphone platforms with fast, improvised, and endless communication. Lately, TikTok became the favored platform with prosumers, defined as people who are both producers and consumers. In this study, I studied the experiential response of YouTube and TikTok users as representative examples of a short-form content platform developed after the 2000s, the flourishing years of digital content with a length of 30 seconds.

The present and prospect of Online Video, Music service and Media Usage (온라인 동영상, 음악서비스 및 미디어 이용 현황과 전망 - 20대 대학생을 중심으로)

  • Kim, Sun-Jin
    • Journal of Digital Contents Society
    • /
    • v.16 no.1
    • /
    • pp.137-144
    • /
    • 2015
  • This study tried to anticipate the near future changes of domestic online video, music service and media usage through the status quo. The research group was focused on the twenties, University students because they are the active media contents users. It surveyed the students in Busan, and used the method of descriptive statistics analysis for the understanding of the present state and near future prospect. This study shows that almost half of them use both services, and three people out of ten are the heavy users who use the services for over 3 hours a week. The streaming method is higher proportion than download method in using type. They are getting accustomed to pay contents cost, but it couldn't be said the paying content cost has been established. Preferred contents genre appears to be the RMC(Ready Made Contents) such as existing broadcaster contents and movies. Notable result on media usage was the proportion of the so-called 'Zero-TV'. It was 32%, significantly higher than the proportion of the total population(4.4%). Integrating the analysis results, we can expect that the usage pattern will be changed gradually, thus the advent of various revenue models will emerge.