A unified architecture for real-time video-coding systems

Li, Z.G.; Zhu, Ce; Ling, Nam; Yang, Xiaokang; Feng, Gang; Wu, Shiqian; Pan, Feng

doi:10.1109/tcsvt.2003.813420

Cited by 60 publications

(51 citation statements)

References 27 publications

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“…Equations (57) and (58) provide an approximate solution for λ of the dual problem (56), that is, QP is estimated from (58) for the given constraint X F and then λ is induced from (57). Lee et al (2000); Li et al (2003) proposed how to estimate target bits X F from video frame rate, buffer fullness, picture type and some other information. If average value of the bit constraint X F is well estimated to match with goodput x gp of (52), average λ of the RD optimization is close to λ * of subgradient.…”

Section: Coexistence Among Utility Functions With or Without Cross-lamentioning

confidence: 99%

Error Resilient Video Coding using Cross-Layer Optimization Approach

An¹,

Nguyen²

2011

Effective Video Coding for Multimedia Applications

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Section: Coexistence Among Utility Functions With or Without Cross-lamentioning

confidence: 99%

Error Resilient Video Coding using Cross-Layer Optimization Approach

An¹,

Nguyen²

2011

Effective Video Coding for Multimedia Applications

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“…The distribution of bit count is scaled by MAT D Ratio, j , as shown in (7) and (8). In (9), MAT DP j is the predicted MATD value of current j th frame, while MAT DA j is the actual value.…”

Section: Frame Layer Bit Allocationmentioning

confidence: 99%

“…Actually, in order to smooth out the variable output rate, many video standards have adopted rate control as an important part, such as TM5 [4] for MPEG-2, TMN8 [5] for H.263, and VM-18 [6] for MPEG-4. For the more complicated standard H.264/AVC, the JVT-G012 [7] and [8] proposed by Li et al forms the basis of the recommended rate control scheme, which has been widely studied and also has been implemented in the H.264/AVC reference software JM [9].…”

Section: Introductionmentioning

confidence: 99%

Constant Bit-Rate Multi-Stage Rate Control for Rate-Distortion Optimized H.264/AVC Encoders

Liu

Huang

et al. 2010

IEICE Trans. Inf. & Syst.

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SUMMARYH.264/AVC encoder employs rate control to adaptively adjust quantization parameter (QP) to enable coded video to be transmitted over a constant bit-rate (CBR) channel. In this topic, bit allocation is crucial since it is directly related with actual bit generation and the coding quality. Meanwhile, the rate-distortion-optimization (RDO) based mode-decision technique also affects performance a lot for the strong relation among mode, bits, and quality. This paper presents a multi-stage rate control scheme for R-D optimized H.264/AVC encoders under CBR video transmission. To enhance the precision of the complexity estimation and bit allocation, a frequency-domain parameter named mean-absolute-transformdifference (MATD) is adopted to represent frame and macroblock (MB) residual complexity. Second, the MATD ratio is utilized to enhance the accuracy of frame layer bit prediction. Then, by considering the bit usage status of whole sequence, a measurement combining forward and backward bit analysis is proposed to adjust the Lagrange multiplier λ MODE on frame layer to optimize the mode decision for all MBs within the current frame. On the next stage, bits are allocated on MB layer by proposed remaining complexity analysis. Computed QP is further adjusted according to predicted MB texture bits. Simulation results show the PSNR improvement is up to 1.13 dB by using our algorithm, and the stress of output buffer control is also largely released compared with the recommended rate control in H.264/AVC reference software JM13.2.

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“…However, their method undesirably changes the intermediate nodes of a network; thus, scalability is lost. In [15], [16], [25], [32], methods were proposed for adjusting the transmission rate according to the current network conditions. Their common characteristic is that a scalable video coding scheme is incorporated with a network behavior monitor.…”

mentioning

confidence: 99%

JitterPath: Probing Noise Resilient One-Way Delay Jitter-Based Available Bandwidth Estimation

Huang

Wu³

2007

IEEE Trans. Multimedia

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Abstract-Measurement of end-to-end available bandwidth has received considerable attention due to its potential use in improving QoS. Available bandwidth enables the sending rate to adapt to network conditions, so that packet loss, caused by congestion, can be significantly reduced before error control mechanisms are finally employed. To this end, we propose a probing noise resilient available bandwidth estimation scheme, called JitterPath, which is adaptive to both the fluid and bursty traffic models. Two key factors, one-way delay jitter and accumulated queuing delay, are both exploited to predict the type of queuing region for each packet pair. Then, the bottleneck utilization information included in the joint queuing regions is estimated and used to quantify the captured traffic ratio, which indicates the relationship between the probing rate and available bandwidth. The contributions of our method are as follows: 1) JitterPath can work without being restricted to fluid traffic models; 2) since JitterPath does not directly use the bottleneck link capacity to calculate the available bandwidth, it is feasible for use in a multihop environment with a single bottleneck; and 3) JitterPath inherently reduces the impact of probing noises under the bursty cross traffic model. Extensive simulations, Internet experiments, and comparisons with other methods were conducted to verify the effectiveness of our method under both single-hop and multihop environments.

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A unified architecture for real-time video-coding systems

Cited by 60 publications

References 27 publications

Error Resilient Video Coding using Cross-Layer Optimization Approach

Error Resilient Video Coding using Cross-Layer Optimization Approach

Constant Bit-Rate Multi-Stage Rate Control for Rate-Distortion Optimized H.264/AVC Encoders

JitterPath: Probing Noise Resilient One-Way Delay Jitter-Based Available Bandwidth Estimation

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