TY - GEN
T1 - Adaptive bitstream switching of pre-encoded PFGS video
AU - Lotfallah, Osama
AU - Reisslein, Martin
AU - Panchanathan, Sethuraman
N1 - Publisher Copyright:
© 2005 ACM.
PY - 2005/11/11
Y1 - 2005/11/11
N2 - With Progressive Fine Granularity Scalability (PFGS) video coding, one given encoding (with a prescribed bit rate) can flexibly be transmitted at any lower bit rate. However, the transmitted video is only efficiently encoded when the transmission bit rate is in the vicinity of the encoding bit rate; for transmission bit rates far from the encoding bit rate up on the order of 4 dB in video quality are lost. In this paper we develop and evaluate a suite of policies for accounting for this coding efficiency issue, which has been largely overlooked in previous PFGS streaming studies, in uniand multicast streaming. Our adaptive policies select the PFGS encoding rate from a small number of pre-encoded versions and drop packets so as to maximize the reconstructed video qualities. Our policies consider both the visual video content, expressed using the motion activity level of MPEG-7 descriptor, as well as the channel variability. We find that an optimal non-adaptive streaming policy overcomes the 4 dB inefficiency and on top of this efficiency gain, our adaptive unicast streaming policy achieves 0.8 dB improvement over the optimal non-adaptive streaming. We also find that our contentdependent packet drop policies enforce fairness among multiple streams in terms of reconstructed video qualities and that our multicasting policy improves the average reconstructed video qualities at a group of receivers by up to 2 dB.
AB - With Progressive Fine Granularity Scalability (PFGS) video coding, one given encoding (with a prescribed bit rate) can flexibly be transmitted at any lower bit rate. However, the transmitted video is only efficiently encoded when the transmission bit rate is in the vicinity of the encoding bit rate; for transmission bit rates far from the encoding bit rate up on the order of 4 dB in video quality are lost. In this paper we develop and evaluate a suite of policies for accounting for this coding efficiency issue, which has been largely overlooked in previous PFGS streaming studies, in uniand multicast streaming. Our adaptive policies select the PFGS encoding rate from a small number of pre-encoded versions and drop packets so as to maximize the reconstructed video qualities. Our policies consider both the visual video content, expressed using the motion activity level of MPEG-7 descriptor, as well as the channel variability. We find that an optimal non-adaptive streaming policy overcomes the 4 dB inefficiency and on top of this efficiency gain, our adaptive unicast streaming policy achieves 0.8 dB improvement over the optimal non-adaptive streaming. We also find that our contentdependent packet drop policies enforce fairness among multiple streams in terms of reconstructed video qualities and that our multicasting policy improves the average reconstructed video qualities at a group of receivers by up to 2 dB.
KW - Content-dependent coding
KW - Content-dependent packet drop
KW - Motion activity level
KW - PFGS
KW - Quality-dependent multicast
UR - http://www.scopus.com/inward/record.url?scp=84942872124&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942872124&partnerID=8YFLogxK
U2 - 10.1145/1099384.1099387
DO - 10.1145/1099384.1099387
M3 - Conference contribution
AN - SCOPUS:84942872124
T3 - P2PMMS 2005 - Proceedings of the ACM Workshop on Advances in Peer-to-Peer Multimedia Streaming, co-located with ACM Multimedia 2005
SP - 11
EP - 20
BT - P2PMMS 2005 - Proceedings of the ACM Workshop on Advances in Peer-to-Peer Multimedia Streaming, co-located with ACM Multimedia 2005
PB - Association for Computing Machinery, Inc
T2 - ACM Workshop on Advances in Peer-to-Peer Multimedia Streaming, P2PMMS 2005
Y2 - 11 November 2005
ER -