Systematic Lossy Error Protection based on H.264/AVC redundant slices and flexible macroblock ordering

Abstract

In this paper we propose a scheme for Systematic Lossy Error Protection (SLEP) of an H.264/AVC compressed video bit-stream, using standard compatible features such as redundant slices, and flexible macroblock ordering. In this scheme, the systematic transmission consists of a conventional H.264/AVC bit-stream. For error resilience, an additional bit-stream known as the Wyner-Ziv bit-stream is also transmitted. The Wyner-Ziv bit-stream allows the decoding of a coarsely quantized description of the original video signal, and is efficiently generated by using H.264/AVC redundant slices in conjunction with Reed-Solomon coding. The Wyner-Ziv bit-stream is decoded in order to recover the redundant video descriptions, which are used in lieu of portions lost from the original video signal due to channel errors. SLEP allows the video quality to degrade gracefully with worsening channel conditions, and provides a flexible trade-off between the achieved error resilience and the coarseness of the redundant description. The performance can be improved, especially for low motion video sequences, by applying SLEP to a region-of-interest in the video frame, using Flexible Macroblock Ordering (FMO). We provide experimental results for two video transmission scenarios, which demonstrate the advantages of SLEP over FEC as an error resilience scheme.

Distributed Video Coding for Video Communication on Mobile Devices and Sensors

“…Also enhanced reconstruction techniques have been proposed (Vatis, 2007). DVC techniques have also been used in other scenarios, such as traditional video coding with forward error correction using WZ coding (Baccichet, 2006;Bernardini, 2007; and multi-view coding (Flierl, 2006;Tosic, 2007;Yang, 2007). An interesting hybrid system has been proposed by Mukherjee (2006), who uses H.264/AVC to code subsampled frames.…”

Error resiliency transcoding and decoding solutions using distributed video coding techniques

“…The proposed by [2] this is analogous to error detection at the receiver side, however the main difference is that the generated image signature proposed by [14] cannot be used for error recovery.…”

“…The work carried out by Stanford University [2] is based on coding raw video using H.264/AVC whilst employing distributed coding as an error resilience mechanism.…”

“…It is also proposed to retain regions of interest as is without reproduction. Following the work in [2], the ER supplementary bit stream is then generated. We complement this work with a pre-decoding solution that mirrors the transcoder by regenerating the regions of interest and correcting them using the ER http://doi.org/10.1016/j.image.…”

“…The corrected bits are then repacked and sent to the decoder. Unlike the work proposed in [2], the proposed transcoding and error correction solutions do not require modifications to the destination decoder.…”