Abstract
Vertical handoff (VH) is required to achieve anywhere and anytime internet access in the fourth generation (4G) network providing interoperability between universal mobile telecommunications system (UMTS) and wireless LAN (WLAN). However, video data can be lost due to latency caused by VH. To solve this problem, in this paper, we propose an effective video streaming method for video on demand (VOD) services that provides seamless playout at the client in VH. Experimental results show that our method can provide seamless playout at the client in VH while preserving image quality.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 397-406 |
| Number of pages | 10 |
| Volume | 3894 LNCS |
| Publication status | Published - 2006 Jul 10 |
| Event | 19th International Conference on Architecture of Computing Systems, ARCS 2006 - Frankfurt, Main, Germany Duration: 2006 Mar 13 → 2006 Mar 16 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3894 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 19th International Conference on Architecture of Computing Systems, ARCS 2006 |
|---|---|
| Country | Germany |
| City | Frankfurt, Main |
| Period | 06/3/13 → 06/3/16 |
Fingerprint
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Computer Science(all)
- Theoretical Computer Science
Cite this
An effective video streaming method for video on demand services in vertical handoff. / Kim, Jae W.; Kim, Hye S.; Yun, Jae Woong; Ko, Sung-Jea.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3894 LNCS 2006. p. 397-406 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3894 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An effective video streaming method for video on demand services in vertical handoff
AU - Kim, Jae W.
AU - Kim, Hye S.
AU - Yun, Jae Woong
AU - Ko, Sung-Jea
PY - 2006/7/10
Y1 - 2006/7/10
N2 - Vertical handoff (VH) is required to achieve anywhere and anytime internet access in the fourth generation (4G) network providing interoperability between universal mobile telecommunications system (UMTS) and wireless LAN (WLAN). However, video data can be lost due to latency caused by VH. To solve this problem, in this paper, we propose an effective video streaming method for video on demand (VOD) services that provides seamless playout at the client in VH. Experimental results show that our method can provide seamless playout at the client in VH while preserving image quality.
AB - Vertical handoff (VH) is required to achieve anywhere and anytime internet access in the fourth generation (4G) network providing interoperability between universal mobile telecommunications system (UMTS) and wireless LAN (WLAN). However, video data can be lost due to latency caused by VH. To solve this problem, in this paper, we propose an effective video streaming method for video on demand (VOD) services that provides seamless playout at the client in VH. Experimental results show that our method can provide seamless playout at the client in VH while preserving image quality.
UR - http://www.scopus.com/inward/record.url?scp=33745600807&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745600807&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33745600807
SN - 3540327657
SN - 9783540327653
VL - 3894 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 397
EP - 406
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -