TY - GEN
T1 - Dynamic redundancy allocation for video streaming using Sub-GOP based FEC code
AU - Yu, Li
AU - Xiao, Jimin
AU - Tillo, Tammam
N1 - Publisher Copyright:
© 2014 IEEE.. © 2014 IEEE.
PY - 2015/2/27
Y1 - 2015/2/27
N2 - Reed-Solomon erasure code is one of the most studied protection methods for video streaming over unreliable networks. As a block-based error correcting code, large block size and increased number of parity packets will enhance its protection performance. However, for video applications this enhancement is sacrificed by the error propagation and the increased bitrate. So, to tackle this paradox, we propose a rate-distortion optimized redundancy allocation scheme, which takes into consideration the distortion caused by losing each slice and the propagated error. Different from other approaches, the amount of introduced redundancy and the way it is introduced are automatically selected without human interventions based on the network condition and video characteristics. The redundancy allocation problem is formulated as a constraint optimization problem, which allows to have more flexibility in setting the block-wise redundancy. The proposed scheme is implemented in JM14.0 for H.264, and it achieves an average gain of 1dB over the state-of-the-art approach.
AB - Reed-Solomon erasure code is one of the most studied protection methods for video streaming over unreliable networks. As a block-based error correcting code, large block size and increased number of parity packets will enhance its protection performance. However, for video applications this enhancement is sacrificed by the error propagation and the increased bitrate. So, to tackle this paradox, we propose a rate-distortion optimized redundancy allocation scheme, which takes into consideration the distortion caused by losing each slice and the propagated error. Different from other approaches, the amount of introduced redundancy and the way it is introduced are automatically selected without human interventions based on the network condition and video characteristics. The redundancy allocation problem is formulated as a constraint optimization problem, which allows to have more flexibility in setting the block-wise redundancy. The proposed scheme is implemented in JM14.0 for H.264, and it achieves an average gain of 1dB over the state-of-the-art approach.
KW - RD optimization
KW - RS erasure code
KW - dynamic Sub-GOP allocation
KW - dynamic redundancy rate
KW - video streaming
UR - http://www.scopus.com/inward/record.url?scp=84925425835&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2014.7051620
DO - 10.1109/VCIP.2014.7051620
M3 - Conference Proceeding
AN - SCOPUS:84925425835
T3 - 2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
SP - 518
EP - 521
BT - 2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
Y2 - 7 December 2014 through 10 December 2014
ER -