2134/22787
Zhi Liu
Zhi
Liu
Gene Cheung
Gene
Cheung
Vladan Velisavljevic
Vladan
Velisavljevic
Erhan Ekmekcioglu
Erhan
Ekmekcioglu
Yusheng Ji
Yusheng
Ji
Joint source / channel coding for WWAN multiview video multicast with cooperative peer-to-peer repair
Loughborough University
2016
Multi-view video
Wireless multicast
Cooperative networks
Joint source/channel coding
2016-10-11 13:47:11
Conference contribution
https://repository.lboro.ac.uk/articles/conference_contribution/Joint_source_channel_coding_for_WWAN_multiview_video_multicast_with_cooperative_peer-to-peer_repair/9465359
WWAN video multicast is challenging because of unavoidable
packet losses, and inability to perform retransmission per
packet for every user due to the NAK implosion problem. Previously
proposed cooperative peer-to-peer repair (CPR) strategy,
leveraging on the broadcast nature of wireless transmission
and “uncorrelatedness” of receivers’ channels, calls for
peers with good WWAN channels to streaming server (rich
peers) to locally relay packets lost to peers with bad WWAN
channels (poor peers) over a secondary ad-hoc WLAN network.
In the interactive multiview video streaming (IMVS)
scenario, however, where users can each periodically select
one out of many available views for decoding and display, a
poor peer may not have a neighboring rich peer watching the
same view for packet recovery via CPR.
In this paper, we propose a new CPR strategy for peers
to repair lost packets to neighbors watching different views.
The key idea is for server to transmit depth maps in addition
to texture maps, so that lost frames in a different
view can be reconstructed using depth-image-based rendering
(DIBR). Like Forward Error Correction (FEC) packets,
encoded depth maps incur an overhead in redundant information
transmission to counter network losses, and we allocate
optimal amount of bits for FEC packets (for same-view direct
path protection via WWAN source) and depth map encoding
(for different-view indirect path via CPR peers) to minimize
expected distortion. Experimental results show our proposed
CPR scheme offers a 3.4dB PSNR improvement over a non-
CPR scheme that relies on FEC only.