Feedback and error protection strategies for wireless progressive video transmission

Abstract

In this work, feedback and error-protection strategies for wireless progressive video transmission are presented and evaluated. Simple but meaningful models for a mobile radio channel are introduced, and a channel-coding system based on high-memory rate-compatible punctured convolutional codes with an appropriate sequential decoding algorithm, the far-end error decoder (FEED), are presented. Furthermore, in combination with puncturing, we devise a method for unequal error protection (UEP) and error localization within a progressively coded source message without any additional error detection code. In a change of paradigm, the FEED-based channel-coding system does not aim to minimize the bit or word error probability, but to delay the first error within a data frame as far as possible. In addition, this channel-coding scheme and the FEED algorithm can be used efficiently in an Automatic Repeat reQuest (ARQ) environment. We present different ARQ strategies. For all forward error-correction schemes bounds are specified which allow the estimation of the performance and appropriate rate allocation. Additionally, we briefly discuss an efficient fine granular scalable video compression scheme, the progressive texture video codec (PTVC). The proposed scheme generates an embedded bit-stream for each frame and allows to adjust the reference frames. These source and channel-coding algorithms are used to design several video communication systems based on forward error-correction and ARQ methods. The resulting systems are presented and compared. Performance estimations based on bounding techniques and optimized rate-allocation algorithms are derived and applied. Experimental results show the extraordinary improvement potential of the proposed systems compared to standard schemes. Video communication over very low bit-rate mobile channels with varying channel conditions is thus made possible.Index Terms-Feedback-based video transmission, H.26L, progressive/scalable video coding, rate-distortion optimization, unequal error protection, wireless video transmission.

Optimal erasure protection for scalably compressed video streams with limited retransmission on channels with IID and bursty loss characteristics

“…There also exists a significant body of work on hybrid ARQ schemes (e.g. [2,6,16,24,30,32]), employing both FEC and LR. The combination of PET with retransmission, however, is relatively new.…”

“…These works include retransmission decisions within the optimization framework. The combination of both limited retransmission and FEC has also been considered in a variety of settings, including [16,6,2,30,24,32].…”

Adaptive Error Resilience for Video Streaming

“…Alternatively, [12] presents feedback and error-protection strategies for wireless transmission of progressively coded video using an unequal error protection scheme that employs high-memory rate-compatible punctured convolutional codes with a sequential decoding algorithm. This method assumes that the transmitter knows perfectly the long term channel statistics as well as the existence of an error-free low bit rate channel in both directions.…”

“…In both [11,12], the R-D framework does not take into consideration distortion due to data corruption and/or loss. Recent methods that take into consideration end-toend distortion have been proposed in [13,14].…”

“…The schemes proposed in [11][12][13][14] all tackle the problem of optimally coding video (in the R-D sense) for the purpose of transmission, based on feedback from the receiver to the transmitter, but do not address the problem of reliably transmitting previously coded video streams over data channels while utilizing feedback from the receiver to the transmitter. Furthermore, they assume that the channel conditions are perfectly known or that feedback arrives in a timely fashion, which are not always possible.…”