A novel R-Q model based rate control scheme in HEVC

Liang, Xiaochuan; Wang, Qiang; Zhou, Yinhe; Luo, Binji; Men, Aidong

doi:10.1109/vcip.2013.6706343

Cited by 19 publications

(3 citation statements)

References 8 publications

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“…Most of them are inspired in some well-known CBR-RCAs previously proposed for H.264/AVC: Naccari et al [17] and Choi et al [18] proposed CBR controllers based on that described in [19], which employed the commonly used quadratic R-Q model for QP estimation; Si et al [20] proposed an RCA based on the simple linear R-Q model stated in [21]; Wang et al [22] used for their RCA the well-known ρ-domain model described in [23]; Yoon et al [24], Sanz et al [25], Liang et al [26] and Sun et al [27] presented RCAs that use the accurate Cauchy-density-based R-Q model already proposed in [28]. This latter paper uses specifically a pre-analysis step to predict accurately the source rate.…”

Section: State Of the Artmentioning

confidence: 99%

Two-level sliding-window VBR control algorithm for video on demand streaming

de-Frutos-Lopez

Gonzalez-de-Suso

Sanz-Rodríguez

et al. 2015

Signal Processing: Image Communication

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A two-level variable bit rate (VBR) control algorithm for hierarchical video coding, specifically tailored for the new High Efficiency Video Coding (HEVC) standard, is presented here. A long-term level monitors the current bit count along a sliding window of a few seconds, comprising several intra-periods (IPs) and shifted on an IP basis. This long-term view allows the accommodation of the naturally occurring rate variations at a slow pace, avoiding the annoying sharp quality changes commonly appearing when non-sliding window approaches are used. The bit excesses or defects observed at this level are evenly delivered to a short-term level mechanism that establishes target bit budgets for a narrower sliding window covering a single IP and shifting on a frame basis. At this level, an adequate quantization parameter is estimated to comply with the designated target bit rate. Recommended test conditions as well as two few minutes long video sequences with scene cuts have been used for the assessment of the proposed VBR controller. Comparisons with a state-of-the-art rate control algorithm have produced good results in terms of quality consistency, in exchange for moderate rate-distortion performance losses

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Section: State Of the Artmentioning

confidence: 99%

Two-level sliding-window VBR control algorithm for video on demand streaming

de-Frutos-Lopez

Gonzalez-de-Suso

Sanz-Rodríguez

et al. 2015

Signal Processing: Image Communication

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“…A common strategy to reduce such complexity is to use R-D models to approximate OBA solutions before the actual coding. Such models include those based on ρ-domains [10,11], polynomials [12][13][14][15], logarithms [16], the slope of a reference R-D curve [1], and more recently those learned through machine learning techniques [17,18].…”

Section: Introductionmentioning

confidence: 99%

Rate Control for Predictive Transform Screen Content Video Coding Based on RANSAC

Sánchez

2021

IEEE Trans. Circuits Syst. Video Technol.

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“…In contrast to traditional RC, the area-based RC method proposed by Hu et al can adaptively control the rate in accordance with the content to attain better subjective and objective quality. Tsai et al proposed determining the QPs of general intra frames and scenechange frames through a rate-quantization step size (QS) model and a scene-change-aware model based on a Taylor series[37].For HEVC, the work in[39] proposed a logarithmic model to describe the relation between distortion and rate.Liang et al determined Yoon et al combined a linear rate model with an R-Q model based on the Cauchy distribution to serve as the R-Q model. Si et al modified a linear model to adjust the QP to the q scale.…”

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confidence: 99%

Recent Advances in Rate Control: From Optimization to Implementation and Beyond

Wei¹,

Zhou²,

Wang³

et al. 2022

Preprint

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Video coding is a video compression technique that compresses the original video sequence to achieve a smaller archive file or a lower transmission bandwidth under constraints on the visual quality loss. Rate control (RC) plays a critical role in video coding. It can achieve stable stream output in practical applications, especially in real-time video applications such as video conferencing or game live streaming. Most RC algorithms directly or indirectly characterize the relationship between the bit rate (R) and quantization (Q) and then allocate bits for every coding unit to guarantee the global bit rate and video quality level. This paper comprehensively reviews the classic RC technologies used in international video standards of past generations, analyses the mathematical models and implementation mechanisms of various schemes, and compares the performance of recent state-of-the-art RC algorithms. Finally, we discuss future directions and new application areas for RC methods. We hope that this review can help support the development, implementation, and application of RC in new video coding standards.

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A novel R-Q model based rate control scheme in HEVC

Cited by 19 publications

References 8 publications

Two-level sliding-window VBR control algorithm for video on demand streaming

Two-level sliding-window VBR control algorithm for video on demand streaming

Rate Control for Predictive Transform Screen Content Video Coding Based on RANSAC

Recent Advances in Rate Control: From Optimization to Implementation and Beyond

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