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http://dx.doi.org/10.5392/JKCA.2019.19.07.384

A Study on Bigdata Utilization in Cultural and Artistic Contents Production and Distribution  

Kim, Hyun-Young (중앙대학교 첨단영상대학원 영상학과)
Kim, Jae-Woong (중앙대학교 첨단영상대학원 영상학과)
Publication Information
The Journal of the Korea Contents Association / v.19, no.7, 2019 , pp. 384-392 More about this Journal
Abstract
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.
Keywords
Bigdata; Video Contents; Algorithm; Culture Arts Industry; Netflix; FGI;
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