Wireless Streaming of Interactive Multi-View Video via Network Compression and Path Diversity

We formulate a system framework for network compression of interactive multi-view streaming video. The setup comprises a media server that delivers the content over two independent network paths to a client. Our system features a proxy-server located at the junction of the wired and wireless portions of each path. The proxy dynamically adapts the content data sent over the wireless links, in response to channel quality feedback from the client, such that video distortion at the client is minimized. We analyze the performance of our system and contrast its characteristics with dynamic content adaptation at the source and conventional streaming architectures, including scalable video. We numerically simulate the operation of all streaming systems under comparison and establish a close agreement between our analysis and the experimental findings. The proposed system delivers superior video quality over the reference competitors, while enabling notable transmission rate savings, at the same time.

[1]  Philip A. Chou,et al.  RaDiO edge: rate-distortion optimized proxy-driven streaming from the network edge , 2006, TNET.

[2]  Bruno Macchiavello,et al.  Reference frame selection for loss-resilient depth map coding in multiview video conferencing , 2012, Other Conferences.

[3]  Jean-Chrysotome Bolot End-to-end packet delay and loss behavior in the internet , 1993, SIGCOMM 1993.

[4]  Yusheng Ji,et al.  Unified distributed source coding frames for interactive multiview video streaming , 2012, 2012 IEEE International Conference on Communications (ICC).

[5]  Gary J. Sullivan,et al.  Overview of the Stereo and Multiview Video Coding Extensions of the H.264/MPEG-4 AVC Standard , 2011, Proceedings of the IEEE.

[6]  A. Murat Tekalp,et al.  Client-Driven Selective Streaming of Multiview Video for Interactive 3DTV , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Richard Szeliski,et al.  High-quality video view interpolation using a layered representation , 2004, SIGGRAPH 2004.

[8]  Hong Shen Wang,et al.  Finite-state Markov channel-a useful model for radio communication channels , 1995 .

[9]  Daniel J. Costello,et al.  ARQ schemes for data transmission in mobile radio systems , 1984, IEEE Transactions on Vehicular Technology.

[10]  Aljoscha Smolic,et al.  The effects of multiview depth video compression on multiview rendering , 2009, Signal Process. Image Commun..

[11]  G. Casella,et al.  Statistical Inference , 2003, Encyclopedia of Social Network Analysis and Mining.

[12]  Béatrice Pesquet-Popescu,et al.  Depth-aided image inpainting for novel view synthesis , 2010, 2010 IEEE International Workshop on Multimedia Signal Processing.

[13]  Janus Heide,et al.  Cooperative media streaming using adaptive network compression , 2008, 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[14]  Aljoscha Smolic,et al.  Multi-View Video Plus Depth Representation and Coding , 2007, 2007 IEEE International Conference on Image Processing.

[15]  Itu-T and Iso Iec Jtc Advanced video coding for generic audiovisual services , 2010 .

[16]  Mitchell D. Trott,et al.  Path diversity for enhanced media streaming , 2004, IEEE Communications Magazine.