Model-based rate control implementation for low-power video communications systems

Vleeschouwer, Christophe De

doi:10.1109/tcsvt.2003.819181

Cited by 13 publications

(5 citation statements)

References 31 publications

(21 reference statements)

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“…Image and video communication on best effort packet-switched networks is challenging. Solutions include priority allocation of network resources to images [2], fine adjustment of compression rate to the channel capacity [3,4,5], error concealment mechanisms [6,7], and use of scalable codecs to adapt the codestream, on-the-fly, to the channel at hand [8,9,10,11].…”

Section: Related Workmentioning

confidence: 99%

Forward Error Correction Applied to JPEG-XS Codestreams

Legrand

Macq

Vleeschouwer

2022

2022 IEEE International Conference on Image Processing (ICIP)

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JPEG-XS offers low complexity image compression for applications with constrained but reasonable bit-rate, and low latency. Our paper explores the deployment of JPEG-XS on lossy packet networks. To preserve low latency, Forward Error Correction (FEC) is envisioned as the protection mechanism of interest. Although the JPEG-XS codestream is not scalable in essence, we observe that the loss of a codestream fraction impacts the decoded image quality differently, depending on whether this codestream fraction corresponds to codestream headers, to coefficient significance information, or to low/high frequency data. Hence, we propose a rate-distortion optimal unequal error protection scheme that adapts the redundancy level of Reed-Solomon codes according to the rate of channel losses and the type of information protected by the code. Our experiments demonstrate that, at 5% loss rates, it reduces the Mean Squared Error by up to 92% and 65%, compared to a transmission without and with optimal but equal protection, respectively.

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Section: Related Workmentioning

confidence: 99%

Forward Error Correction Applied to JPEG-XS Codestreams

Legrand

Macq

Vleeschouwer

2022

2022 IEEE International Conference on Image Processing (ICIP)

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“…We first update the model parameter , since the ratecontrol model is very sensitive to it. Letting then (15) becomes (16) To keep the R-Q model stable, the parameter of the next frame is smoothed by the previous parameters based on the following equation: (17) where is the sliding-windows scale and is the actual model parameter in the past. The default value of is 20 in our experiments.…”

Section: B Model Parameters Update and Frame-skipping Controlmentioning

confidence: 99%

“…Rate control based on analysis and R-D modeling outperforms the buffer-state or bit-count feedback schemes [17]. To sum up, in-depth analysis of these approaches shows that they systematically rely on a measure of activity of the residual frame.…”

Section: Introductionmentioning

confidence: 99%

A novel PDE-based rate-distortion model for rate control

Zhang¹,

Liu

et al. 2005

IEEE Trans. Circuits Syst. Video Technol.

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This paper presents a novel rate-distortion (R-D) model for rate control of video coding. First, we investigate the well-known heat conduction equation (HCE) in the heat conduction process for a thin bar. HCE describes the dynamic distribution of temperature in a thin bar using a partial differential equation (PDE). Motivated by the heat conduction process in a thin bar, a new rate transmission equation (RTE) is proposed to describe the dynamic behaviors of the bit-rate fluctuation during video coding. Second, a particular solution of RTE is employed as our proposed R-D model, which consists of two variables, i.e., the distortion and the source statistical character . Based on our model, a corresponding rate-control scheme is proposed for MPEG coding. Finally, extensive experimental results are reported to show that, compared with the well-known MPEG-4 Q2 rate-control scheme, our proposed work achieves better buffer status, higher control accuracy, and stabler and more consistent picture quality. Index Terms-rate-distoriation (R-D) model, heat conduction equation (HCE), MPEG video, rate control, rate transmission equation (RTE).

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“…Most literatures for the rate control in H.264/AVC deal with the simplification of the R-Q model, precise MAD prediction, and scenario-specific modifications [7]- [12]. However, it is inadequate that the conventional rate control schemes directly apply to HEVC, because HEVC has quite different features compared to previous video coding standards.…”

Section: Introductionmentioning

confidence: 99%

Pixel-Wise Unified Rate-Quantization Model for Multi-Level Rate Control

Choi

Yoo

Nam

et al. 2013

IEEE J. Sel. Top. Signal Process.

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In this paper, we present a pixel-wise unified rate quantization (R-Q) model for a low-complexity rate control on configurable coding units of high efficiency video coding (HEVC). In the case of HEVC, which employs hierarchical coding block structure, multiple R-Q models can be employed for the various block sizes. However, we found that the ratios of distortions over bits for all the blocks are a nearly constant because of employment of the rate distortion optimization technique. Hence, one relationship model between rate and quantization can be derived from the characteristic of similar ratios of distortions over bits regardless of block sizes. Thus, we propose the pixel-wise unified R-Q model for HEVC rate control working on the multi-level for all block sizes. We employ a simple leaky bucket model for bit control. The rate control based on the proposed pixel-wise unified R-Q model is implemented on HEVC test model 6.1 (HM6.1). According to the evaluation for the proposed rate control, the average matching percentage to target bitrates is 99.47% and the average PSNR degradation is 0.76 dB. Based on the comparative study, we found that the proposed rate control shows low bit fluctuation and good RD performance, compared to R-lambda rate control for long sequences.Index Terms-HEVC, rate control, unified R-Q model, video coding.

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Model-based rate control implementation for low-power video communications systems

Cited by 13 publications

References 31 publications

Forward Error Correction Applied to JPEG-XS Codestreams

Forward Error Correction Applied to JPEG-XS Codestreams

A novel PDE-based rate-distortion model for rate control

Pixel-Wise Unified Rate-Quantization Model for Multi-Level Rate Control

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