TY - JOUR
T1 - VAPOR
T2 - Variance-aware per-pixel optimal resource allocation
AU - Eisenberg, Yiftach
AU - Zhai, Fan
AU - Pappas, Thrasyvoulos
AU - Berry, Randall
AU - Katsaggelos, Aggelos K.
N1 - Funding Information:
Manuscript received January 16, 2004; revised December 27, 2004. This work was supported in part by the National Science Foundation under Grant CCR-0311838. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Fernando M. B. Pereira.
PY - 2006/2
Y1 - 2006/2
N2 - Characterizing the video quality seen by an end-user is a critical component of any video transmission system. In packet-based communication systems, such as wireless channels or the Internet, packet delivery is not guaranteed. Therefore, from the point-of-view of the transmitter, the distortion at the receiver is a random variable. Traditional approaches have primarily focused on minimizing the expected value of the end-to-end distortion. This paper explores the benefits of accounting for not only the mean, but also the variance of the end-to-end distortion when allocating limited source and channel resources. By accounting for the variance of the distortion, the proposed approach increases the reliability of the system by making it more likely that what the end-user sees, closely resembles the mean end-to-end distortion calculated at the transmitter. Experimental results demonstrate that variance-aware resource allocation can help limit error propagation and is more robust to channel-mismatch than approaches whose goal is to strictly minimize the expected distortion.
AB - Characterizing the video quality seen by an end-user is a critical component of any video transmission system. In packet-based communication systems, such as wireless channels or the Internet, packet delivery is not guaranteed. Therefore, from the point-of-view of the transmitter, the distortion at the receiver is a random variable. Traditional approaches have primarily focused on minimizing the expected value of the end-to-end distortion. This paper explores the benefits of accounting for not only the mean, but also the variance of the end-to-end distortion when allocating limited source and channel resources. By accounting for the variance of the distortion, the proposed approach increases the reliability of the system by making it more likely that what the end-user sees, closely resembles the mean end-to-end distortion calculated at the transmitter. Experimental results demonstrate that variance-aware resource allocation can help limit error propagation and is more robust to channel-mismatch than approaches whose goal is to strictly minimize the expected distortion.
KW - Error analysis
KW - Multimedia communication
KW - Teleconferencing
KW - Video coding
KW - Videophone systems
UR - http://www.scopus.com/inward/record.url?scp=31144447892&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=31144447892&partnerID=8YFLogxK
U2 - 10.1109/TIP.2005.860600
DO - 10.1109/TIP.2005.860600
M3 - Article
C2 - 16479799
AN - SCOPUS:31144447892
VL - 15
SP - 289
EP - 299
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
SN - 1057-7149
IS - 2
ER -