A Novel Two-Stage Rate Control Scheme for H.264

Kwon, Do-Kyoung; Shen, Mei-Yin; Kuo, C.-C. Jay

doi:10.1109/icme.2006.262535

Cited by 9 publications

(15 citation statements)

References 9 publications

(8 reference statements)

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“…This makes it more difficult to develop a model to analyze and control the R-D behavior of H.264 video encoders accurately and robustly. Recently, a number of rate control algorithms have been developed for H.264 video coding [11]- [13], [15], [16]. For example, in [11], the mean of absolute difference (MAD) of each basic unit in a current frame is estimated by the MAD of the collocated basic unit in its previous frame using a linear model.…”

Section: A Related Workmentioning

confidence: 99%

“…Then, an H.263 TMN8-like R-D model is used to determine a QP. In [16], a two-staged scheme is proposed to address the inter-dependency between R-D optimization and rate control in H.264. In general, these algorithms, especially those that use previous frame statistics for rate control [11], suffer from relatively large errors in rate control or buffer regulation.…”

Section: A Related Workmentioning

confidence: 99%

“…This problem is called rate-distortion (R-D) analysis and control for H.264 [11], [12], [16]. Second, a digital TV broadcast system often has a number of TV programs, each being encoded by an H.264 video encoder.…”

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confidence: 99%

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Linear Rate Control and Optimum Statistical Multiplexing for H.264 Video Broadcast

2008

IEEE Trans. Multimedia

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Abstract-The H.264 video coding standard achieves significantly improved video compression efficiency and finds important applications in digital video broadcast. To enable H.264 video encoding for digital TV broadcast and maximize its broadcast efficiency, there are two important issues that need to be adequately addressed. First, we need to understand the complex coding mechanism of an H.264 video encoder and develop a model to analyze and control its rate-distortion (R-D) behavior in an accurate and robust manner. Second, the R-D behaviors of individual channels in the broadcast system should be jointly controlled and optimized under bandwidth and buffer constraints so as to maximize the overall broadcast quality. In this paper, we develop a linear rate model and a linear rate control scheme for H.264 video coding. We develop an optimum statistical multiplexing system to allocate bits across video programs (each being encoded by an H.264 encoder) and video frames so that the overall video broadcast quality is maximized. We study the bandwidth and buffer constraints in video broadcast and formulate the optimum statistical multiplexing into a constrained mathematical optimization problem. Realizing that it is impossible to find a close-form solution for global optima, we propose a simple yet efficient algorithm to find a near-optimum solution for joint rate allocation under buffer constraints. Our extensive simulation results demonstrate that the proposed statistical multiplexing system achieves about 40-50% saving in bandwidth, provides a smooth video quality change across programs and frames, and maintains robust decoder buffer control.Index Terms-H.264 video coding, rate control, statistical multiplexing, optimum rate allocation, TV broadcast.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

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Linear Rate Control and Optimum Statistical Multiplexing for H.264 Video Broadcast

2008

IEEE Trans. Multimedia

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“…The presented model is based on the work proposed in [3] which we extended to incorporate MGS/CGS scalability. The H.264/AVC compatible base layer in SVC can be expressed as follows:…”

Section: B Rate Modelmentioning

confidence: 99%

“…Video rate and distortion modeling lies at the core of model-based coder control algorithms, whereby a coded video packet is abstracted in terms of its rate and the distortion of the resulting coded picture [3]. We propose new real-time rate and distortion models for medium grained and coarse grained scalable (MGS/CGS) coded video streams and use these models in a global optimization framework that selects the appropriate video quality and protection overhead for multiple video users while satisfying the reported channel constraints.…”

Section: Introductionmentioning

confidence: 99%

Real-time joint rate and protection allocation for multi-user scalable video streaming

Mansour

Nasiopoulos

Krishnamurthy

2008

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications

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Abstract-In this paper, we present a real-time joint bit-rate and error protection allocation scheme for multiple scalable video streams sharing a single downlink channel. High speed downlink packet access (HSDPA) systems allow for multiple live video streams to share a common downlink channel among multiple mobile users. However, the unreliable nature of the wireless link results in packet losses and fluctuations in the available channel capacity. This calls for flexible error protection and rate control strategies implemented at the video encoders that can respond to the variation in channel conditions. In this paper, we formulate a global optimization problem, which is solved at every frame transmission instant and minimizes the expected sum of the video frame distortions of all users by adjusting the encoding quality at the base-and enhancementlayers as well as the application layer error protection overhead used to combat packet losses. We consider frame-level unequal erasure protection (UXP) as the application layer forward error correction scheme. Performance evaluations show that compared with existing schemes our proposed scheme delivers far superior decoded video quality averaging 1.2dB in PSNR.

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A two-layer real-time rate control algorithm based on lagrange optimum algorithm

Liu

Chen

2009

Wuhan Univ. J. Nat. Sci.

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Because of the iterative process in the rate control algorithm of the H.264 draft, it is not suitable for real-time transmission. A two-layer real-time rate control algorithm based on the Lagrange optimum algorithm is proposed. This algorithm consists of two layers, namely, the group of pictures (GOP) layer and the frame layer. The simulation results show that the proposed algorithm is competitive in terms of peak signal-to-noise ratio (PSNR), real bitrates and the Q-value among frames over the original algorithm.H.264 is the latest video coding standard proposed by the Video Coding Experts Group (VCEG) and the Moving Picture Experts Group (MPEG) [1] . Its rate control algorithm named after the H.264 test model 5(TM5) is developed from test model 5 of MPEG2. TM5 consists of four steps [2] , namely, allocating propel bits to each frame and initiating the quantization parameters; exploiting rate-distortion(R-D) model to choose the encoding pattern and estimate motion; updating Q value according to buffer's states and encoding bits; using R-D model to choose new motion vector (MV) and Macro block's encoding pattern.The quantization parameter Q used by the H.264 rate control algorithm and R-D model introduces the emulation problem [3] below: when performing R-D optimization to frame, the sum of absolute differences (SAD) of the current frame must be calculated first to choose the quantization parameter; while SAD can be only obtained after the R-D optimizing process. Because of this disadvantage of the H.264 draft, it is not suitable for real-time transmission. We propose a new two-layer real-time rate control algorithm in this paper to address this problem.

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A Novel Two-Stage Rate Control Scheme for H.264

Cited by 9 publications

References 9 publications

Linear Rate Control and Optimum Statistical Multiplexing for H.264 Video Broadcast

Linear Rate Control and Optimum Statistical Multiplexing for H.264 Video Broadcast

Real-time joint rate and protection allocation for multi-user scalable video streaming

A two-layer real-time rate control algorithm based on lagrange optimum algorithm

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