An MDC-based video streaming architecture for mobile networks

Abstract

Abstract-Multiple description coding (MDC) is a framework designed to improve the robustness of video content transmission in lossy environments. In this work, we propose an MDC technique using a legacy coder to produce two descriptions, based on separation of even and odd frames. If only one description is received, the missing frames are reconstructed using temporal high-order motion interpolation (HOMI), a technique originally proposed for distributed video coding. If both descriptions are received, the frames are reconstructed as a block-wise linear combination of the two descriptions, with the coefficient computed at the encoder in a RD-optimised fashion, encoded with a contextadaptive arithmetic coder, and sent as side information. We integrated the proposed technique in a mobile ad-hoc streaming protocol, and tested it using a group mobility model. The results show a non-negligible gain for the expected video quality, with respect to the reference technique.

Low-Latency Video Streaming With Congestion Control in Mobile Ad-Hoc Networks

“…A set of nine video sequences ("Akiyo", "Bus", "City", "Coastguard", "Flower", "Football", "Foreman", "Mobile", and "Stefan"; CIF at 30 fps), concatenated and looped to match the total simulation time of 300 s, has been encoded with multiple descriptions using a technique based on channel splitting and motion-compensated temporal interpolation of missing frames [45], with a total coding rate of about 1.8 Mbps, resulting in an average PSNR of 39.94 dB for central decoding and 35.20 dB for side decoding.…”

“…Furthermore, in order to test the performance of the protocol in presence of node mobility, two different models have been experimented: Random Way-point and Reference Point Group Mobility [45]. The delivery rate as a function of the nodes' average speed for the Random Way-point model (the most challenging for a structured protocol, as the nodes move independently) is presented in Fig.…”

Multimedia Streaming

“…These techniques are based on the hypothesis that MV information is available in the bitstream: when this is not true, one can resort to MV recovery techniques. Finally, temporal correlation can even be used when a whole picture is missing: e.g., it can be estimated by using motion-compensated temporal interpolation techniques [111,112], originally developed in the context of distributed video coding. The latter typically gave the best results.…”

“…The interpolation technique can be as easy as sample-wise sample-and-hold interpolation, which is equivalent to reducing the frame rate of the reproduction, or a more sophisticated technique such as motion-compensated temporal interpolation [111,112]. some descriptions are missing, is generally performed through interpolation.…”