@inproceedings{8112c0f67108453d8c139ad65d9f7228,
title = "Rapid parallel transcoding scheme for providing multiple-format of a single multimedia",
abstract = "STVF (Novel scheme for transcoding video file of multiple file formats) is a video sharing system novel scheme based on the parallel computing framework and Intra-cloud environment. The target user is community user within a certain scale. While using a small-scale server group, a parallel processing framework and an improved task assignment algorithm are utilized to realize high-speed video transcoding using ffmpeg, and different-definition videos are generated at high speed too. Dynamically analyze the size of the task to select the number of task processing servers to achieve STVF{\textquoteright}s higher scalability. And through these operations so that the user can smoothly play suitable resolution in different smart machines format.",
keywords = "Intra cloud, Parallel video transcoding, Performance based allocation algorithm, Scheduling processing, SMB protocol",
author = "Seungchul Kim and Mu He and Kim, {Hyun Woo} and Jeong, {Young Sik}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 13th International Conference on Future Information Technology, FutureTech 2018 ; Conference date: 23-04-2018 Through 25-04-2018",
year = "2019",
doi = "10.1007/978-981-13-1328-8_112",
language = "English",
isbn = "9789811313271",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "855--861",
editor = "Park, {James J.} and Choo, {Kim-Kwang Raymond} and Gangman Yi and Vincenzo Loia",
booktitle = "Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018",
address = "Germany",
}