Abstract
| Original language | English |
|---|---|
| Title of host publication | Stereoscopic Displays and Applications XXI, San Jose, U.S.A., January 2010 |
| Subtitle of host publication | IS&T/SPIE Electronic Imaging |
| Editors | Andrew J. Woods, Nicolas S. Holliman, Neil A. Dodgson |
| Place of Publication | Bellingham |
| Publisher | SPIE |
| Pages | 12 |
| DOIs | |
| Publication status | Published - 2010 |
Publication series
| Name | Proceedings of SPIE |
|---|---|
| Volume | 7524 |
Fingerprint
Cite this
}
Virtual-view adaption for 3D multi-view video streaming. / Petrovic, G.; Do, Q.L.; Zinger, S.; With, de, P.H.N.
Stereoscopic Displays and Applications XXI, San Jose, U.S.A., January 2010: IS&T/SPIE Electronic Imaging. ed. / Andrew J. Woods; Nicolas S. Holliman; Neil A. Dodgson. Bellingham : SPIE, 2010. p. 12 752410 (Proceedings of SPIE; Vol. 7524).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Virtual-view adaption for 3D multi-view video streaming
AU - Petrovic, G.
AU - Do, Q.L.
AU - Zinger, S.
AU - With, de, P.H.N.
PY - 2010
Y1 - 2010
N2 - Virtual views in 3D-TV and multi-view video systems are reconstructed images of the scene generated synthetically from the original views. In this paper, we analyze the performance of streaming virtual views over IP-networks with a limited and time-varying available bandwidth. We show that the average video quality perceived by the user can be improved with an adaptive streaming strategy aiming at maximizing the average video quality. Our adaptive 3D multi-view streaming can provide a quality improvement of 2 dB on the average - over non-adaptive streaming. We demonstrate that an optimized virtual view adaptation algorithm needs to be view-dependent and achieve an improvement of up to 0.7 dB. We analyze our adaptation strategies under dynamic available bandwidth in the network.
AB - Virtual views in 3D-TV and multi-view video systems are reconstructed images of the scene generated synthetically from the original views. In this paper, we analyze the performance of streaming virtual views over IP-networks with a limited and time-varying available bandwidth. We show that the average video quality perceived by the user can be improved with an adaptive streaming strategy aiming at maximizing the average video quality. Our adaptive 3D multi-view streaming can provide a quality improvement of 2 dB on the average - over non-adaptive streaming. We demonstrate that an optimized virtual view adaptation algorithm needs to be view-dependent and achieve an improvement of up to 0.7 dB. We analyze our adaptation strategies under dynamic available bandwidth in the network.
U2 - 10.1117/12.840230
DO - 10.1117/12.840230
M3 - Conference contribution
T3 - Proceedings of SPIE
SP - 12
BT - Stereoscopic Displays and Applications XXI, San Jose, U.S.A., January 2010
A2 - Woods, Andrew J.
A2 - Holliman, Nicolas S.
A2 - Dodgson, Neil A.
PB - SPIE
CY - Bellingham
ER -