Abstract
As the market of mobile devices for video streaming is growing rapidly, it is necessary to convert a high bit rate MPEG stream into a low bit rate MPEG stream. However, it takes long time to transcode MPEG to another steaming media format due to the huge amount of computation in a traditional single computing environment. Furthermore, real-time MPEG transcoding also demands high computational power. Fortunately, the algorithms compliant to the MPEG standard can be parallelized. In this paper, we propose several scheduling algorithms for real-time transcoding of MPEG video that can be used in heterogeneous distributed computing environments. In the experiment, we will compare their performance through an experimental evaluation.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science |
| Editors | K.-M. Liew, H. Shen, S. See, W. Cai, P. Fan, S. Horiguchi |
| Pages | 280-283 |
| Number of pages | 4 |
| Volume | 3320 |
| Publication status | Published - 2004 |
| Event | 5th International Conference, PDCAT 2004 - , Singapore Duration: 2004 Dec 8 → 2004 Dec 10 |
Other
| Other | 5th International Conference, PDCAT 2004 |
|---|---|
| Country | Singapore |
| Period | 04/12/8 → 04/12/10 |
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ASJC Scopus subject areas
- Computer Science (miscellaneous)
Cite this
Real-time transcoding of MPEG videos in a distributed environment. / Nam, Yunyoung; Hwang, Een Jun.
Lecture Notes in Computer Science. ed. / K.-M. Liew; H. Shen; S. See; W. Cai; P. Fan; S. Horiguchi. Vol. 3320 2004. p. 280-283.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Real-time transcoding of MPEG videos in a distributed environment
AU - Nam, Yunyoung
AU - Hwang, Een Jun
PY - 2004
Y1 - 2004
N2 - As the market of mobile devices for video streaming is growing rapidly, it is necessary to convert a high bit rate MPEG stream into a low bit rate MPEG stream. However, it takes long time to transcode MPEG to another steaming media format due to the huge amount of computation in a traditional single computing environment. Furthermore, real-time MPEG transcoding also demands high computational power. Fortunately, the algorithms compliant to the MPEG standard can be parallelized. In this paper, we propose several scheduling algorithms for real-time transcoding of MPEG video that can be used in heterogeneous distributed computing environments. In the experiment, we will compare their performance through an experimental evaluation.
AB - As the market of mobile devices for video streaming is growing rapidly, it is necessary to convert a high bit rate MPEG stream into a low bit rate MPEG stream. However, it takes long time to transcode MPEG to another steaming media format due to the huge amount of computation in a traditional single computing environment. Furthermore, real-time MPEG transcoding also demands high computational power. Fortunately, the algorithms compliant to the MPEG standard can be parallelized. In this paper, we propose several scheduling algorithms for real-time transcoding of MPEG video that can be used in heterogeneous distributed computing environments. In the experiment, we will compare their performance through an experimental evaluation.
UR - http://www.scopus.com/inward/record.url?scp=13944267563&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=13944267563&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:13944267563
VL - 3320
SP - 280
EP - 283
BT - Lecture Notes in Computer Science
A2 - Liew, K.-M.
A2 - Shen, H.
A2 - See, S.
A2 - Cai, W.
A2 - Fan, P.
A2 - Horiguchi, S.
ER -