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Proceedings ArticleDOI

Recent advances in joint source-channel coding of video

Maja Bystrom, +1 more
- pp 332-337
TLDR
This work presents a general methodology for determining the optimal tradeoff between source and channel coding as a function of channel characteristics for transmission of video and results of the optimal rate allocation procedure are presented.
Abstract
It has previously been shown that for an image or video transmission scheme to be both efficient and robust in practice that a joint source-channel coding approach is necessary. In this work, we discuss efforts in the field of joint source-channel coding of images and video. We then present a general methodology for determining the optimal tradeoff between source and channel coding as a function of channel characteristics for transmission of video. Further reduction in the computational complexity of this methodology through the use of models is discussed. Results of the optimal rate allocation procedure are presented for selected source and channel coding schemes and as a function of channel parameters.

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Citations
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Combined source-channel coding of images

TL;DR: In this paper, a combined source-channel coding approach is described for the encoding, transmission and remote reconstruction of image data, where the source encoder employs two-dimensional (2-D) differential pulse code modulation (DPCM).
Journal ArticleDOI

Progressive image transmission over space-time coded OFDM-based MIMO systems with adaptive modulation

TL;DR: Simulation results of practical image transmissions confirm the effectiveness of the proposed adaptive modulation scheme, which is proposed to pick the constellation size that offers the best reconstructed image quality for each average SNR.
Journal ArticleDOI

Dependent source and channel rate allocation for video transmission

TL;DR: A general joint source-channel rate allocation scheme for a dependent video coding environment is presented, assumed that the source coders rely on motion-compensated prediction, and thus error propagation will contribute significantly to the degradation of the reconstructed video.
Dissertation

On the Design and Analysis of Shannon-Kotel'nikov Mappings for Joint Source-Channel Coding

F. Hekland
TL;DR: A class of joint source-channel coding schemes, called Shannon-Kotel’nikov mappings, are shown to provide both robustness to unknown channel conditions, and high spectral efficiency in the sense that themappings operate close to the theoretical performance bounds.
Proceedings ArticleDOI

Modeling of operational distortion-rate characteristics for joint source-channel coding of video

TL;DR: It is shown that through the use of the modeled characteristics source and channel coding rate can be allocated across frames in a video sequence in order to minimize the effects of error propagation.
References
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Journal ArticleDOI

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Journal ArticleDOI

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TL;DR: A feedback re-encoding method with a rate-quantization model, which can be adapted to changes in picture activities, is developed and used for quantization parameter selection at the frame and slice level.
Journal ArticleDOI

Optimal quantizer design for noisy channels: An approach to combined source - channel coding

TL;DR: It is shown that this optimal design of the zero-memory quantization of memoryless sources could result in substantial performance improvements, more noticeable at high bit rates and for broad-tailed densities.
Journal ArticleDOI

The source-channel separation theorem revisited

TL;DR: The single-user separation theorem of joint source-channel coding has been proved previously for wide classes of sources and channels as discussed by the authors, and the class of channels for which the separation theorem holds regardless of the source statistics has been characterized.
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