Rapid Parallel Transcoding Scheme for Providing Multiple-Format of a Single Multimedia
- Authors
- Kim, Seungchul; He, Mu; Kim, Hyun-Woo; Jeong, Young-Sik
- Issue Date
- 2019
- Publisher
- SPRINGER-VERLAG SINGAPORE PTE LTD
- Keywords
- Parallel video transcoding; SMB protocol; Performance based allocation algorithm; Scheduling processing; Intra cloud
- Citation
- ADVANCED MULTIMEDIA AND UBIQUITOUS ENGINEERING, MUE/FUTURETECH 2018, v.518, pp 855 - 861
- Pages
- 7
- Indexed
- SCOPUS
- Journal Title
- ADVANCED MULTIMEDIA AND UBIQUITOUS ENGINEERING, MUE/FUTURETECH 2018
- Volume
- 518
- Start Page
- 855
- End Page
- 861
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/8658
- DOI
- 10.1007/978-981-13-1328-8_112
- ISSN
- 1876-1100
1876-1119
- 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's higher scalability. And through these operations so that the user can smoothly play suitable resolution in different smart machines format.
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- Appears in
Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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