Abstract
Digital Subscriber Line (DSL) network access is subject to error bursts, which, for interactive video, can introduce unacceptable latencies if video packets need to be re-sent. If the video packets are protected against errors with Forward Error Correction (FEC), calculation of the application-layer channel codes themselves may also introduce additional latency. This paper proposes Low-Density Generator Matrix (LDGM) codes rather than other popular codes because they are more suitable for interactive video streaming, not only for their computational simplicity but also for their licensing advantage. The paper demonstrates that a reduction of up to 4 dB in video distortion is achievable with LDGM Application Layer (AL) FEC. In addition, an extension to the LDGM scheme is demonstrated, which works by rearranging the columns of the parity check matrix so as to make it even more resilient to burst errors. Telemedicine and video conferencing are typical target applications.
Highlights
Compressed video has recently received a boost from around a 50% reduction in bandwidth requirements arising from the High Efficiency Video Coding (HEVC) codec standard [1].either owing to a desire to reduce codec complexity or owing to a preference for commercial high-definition video-on-demand applications, low-latency video streaming is no longer strongly supported in the codec
If each symbol is a fixed-size data block it is the data blocks that are bitwise XORed together according to the pattern given in Figure 1 and, in general, with whatever pattern is indicated by matrix H
This study has shown study that industry-standard 2D parity codes underperform in terms of combined latency and error recovery
Summary
Either owing to a desire to reduce codec complexity or owing to a preference for commercial high-definition video-on-demand applications, low-latency video streaming is no longer strongly supported in the codec. Adaptive Streaming over HTTP (DASH), which is supported by HEVC, owing to the underlying. Video streaming has an important role in telemedicine [3] both in longer-term monitoring and in emergency responses, where the need for low-latency communication is probably strongest. For home medical advice it would be helpful if face-to-face consultation with a remote clinician were possible. This assumes that HEVC encoding delays can be addressed, as they are currently many times above real-time [4]
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