TY - GEN
T1 - A hyper-trellis based turbo decoder for Wyner-Ziv video coding
AU - Avudainayagam, Arun
AU - Shea, John M.
AU - Dapeng, Wu
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2005
Y1 - 2005
N2 - A new approach to design video coding schemes for wireless video applications has emerged recently. Schemes using this approach are based on the principle of distributed source coding, and they exploit the correlation in the frames of the video sequence at the decoder. One such scheme models the correlation between frames as a Laplacian channel, and uses a turbo code to correct errors occurring in this pseudo-channel. Existing implementations use a sub-optimal approximation to compute the channel likelihoods in the BCJR algorithm in the turbo decoder. To resolve this sub-optimality, we propose applying the BCJR algorithm on a trellis-structure with parallel transitions. This trellis structure is called a hyper-trellis. The BCJR maximum a posteriori algorithm is modified to use the hyper-trellis, and computation of the channel-likelihoods are shown to be optimal on the hyper-trellis. Simulation results show that the hyper-trellis approach can yield a 5 dB improvement in peak signal-to-noise ratio. © 2005 IEEE.
AB - A new approach to design video coding schemes for wireless video applications has emerged recently. Schemes using this approach are based on the principle of distributed source coding, and they exploit the correlation in the frames of the video sequence at the decoder. One such scheme models the correlation between frames as a Laplacian channel, and uses a turbo code to correct errors occurring in this pseudo-channel. Existing implementations use a sub-optimal approximation to compute the channel likelihoods in the BCJR algorithm in the turbo decoder. To resolve this sub-optimality, we propose applying the BCJR algorithm on a trellis-structure with parallel transitions. This trellis structure is called a hyper-trellis. The BCJR maximum a posteriori algorithm is modified to use the hyper-trellis, and computation of the channel-likelihoods are shown to be optimal on the hyper-trellis. Simulation results show that the hyper-trellis approach can yield a 5 dB improvement in peak signal-to-noise ratio. © 2005 IEEE.
UR - http://www.scopus.com/inward/record.url?scp=33846633721&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33846633721&origin=recordpage
U2 - 10.1109/GLOCOM.2005.1577884
DO - 10.1109/GLOCOM.2005.1577884
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780394143
SN - 9780780394148
VL - 3
T3 - GLOBECOM - IEEE Global Telecommunications Conference
SP - 1412
EP - 1417
BT - GLOBECOM'05: IEEE Global Telecommunications Conference, 2005
T2 - GLOBECOM'05: IEEE Global Telecommunications Conference, 2005
Y2 - 28 November 2005 through 2 December 2005
ER -