We propose a linear predictive quantization system for causally transmitting parallel sources with temporal memory (colored frames) over an erasure channel. By optimizing within this structure, we derive an achievability result in the high-rate limit and compare it to an upper bound on performance. The proposed system subsumes the well-known PCM and DPCM systems as special cases. While typically DPCM performs well without erasures and PCM suffers less with many erasures, we show that the proposed solution improves performance over both under all severities of erasures, with unbounded improvement in some cases.
Media delivery over packet networks is often plagued by packet losses which limit its utility to end users. Forward Error Correction (FEC) based techniques are important for overcoming this problem. This paper further develops an FEC-based technique [1] to maximize the expected received media quality by jointly choosing which packets to send and which packets to protect -including discarding packets to make additional room for protection. We describe a straight-forward implementation leveraging existing FEC system components. Comprehensive experiments demonstrate that significant gains in PSNR of several dB are achieved when sending H.264/MPEG-4 AVC coded video over a packet erasure channel.
Media delivery over lossy packet networks is a challenging problem, and Forward Error Correction (FEC) based techniques are an important technique for overcoming packet loss. Conventional FEC-based media delivery techniques protect all packets equally, or protect a subset of the packets, or protect different subsets of packets with different levels of protection, e.g., scalable coding with unequal error protection (UEP). This paper proposes an FEC-based technique to maximize the expected received media quality by explicitly discarding packets, when beneficial, in order to provide additional room for FEC. Given knowledge of the importance of each packet, we show that there is a simple and intuitive criterion for the optimal selection of which packets to discard and which to protect, as well as the level of protection, to minimize the expected distortion experienced at the receiver. The proposed approach provides significant gains over the conventional approaches, and these gains are illustrated for the case of sending H.264 coded video data over a packet erasure channel with known packet loss rate.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.