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http://dx.doi.org/10.3837/tiis.2021.02.017

Reproduction based Multi-Contents Distribution Platform  

Lee, Byung-Duck (Department of Visual Information Processing, Korea University)
Lee, Keun-Ho (Division of ICT Baekseok University)
Han, Seong-Soo (Dept. of Division of Liberal Studies, Kangwon National University)
Jeong, Chang-Sung (Dept. of Electrical Engineering, Korea University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.15, no.2, 2021 , pp. 695-712 More about this Journal
Abstract
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.
Keywords
Digital Contents; Metadata; Contents Reproduction; Contents Distribution; Publishing Platform;
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