Rate control for H.264 with two-step quantization parameter determination but single-pass encoding
EURASIP Journal on Applied Signal Processing
Quantization Parameter Refinement in H.264 through ρ-Domain Rate Model
IEICE - Transactions on Information and Systems
IEEE Transactions on Circuits and Systems for Video Technology
Laplace distribution based Lagrangian rate distortion optimization for hybrid video coding
IEEE Transactions on Circuits and Systems for Video Technology
A control-theoretic approach to rate control for streaming videos
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
An effective real-time rate control scheme for video codec
APPT'07 Proceedings of the 7th international conference on Advanced parallel processing technologies
Analysis and design of a proportional-integral rate controller for streaming videos
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A two-level rate control approach for video transcoding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Visual attention guided bit allocation in video compression
Image and Vision Computing
On optimizing H. 264/AVC rate control by improving R-D model and incorporating HVS characteristics
EURASIP Journal on Advances in Signal Processing
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H.264/AVC encoder employs a complex mode-decision technique based on rate-distortion optimization. It calculates rate-distortion cost (RDcost) for all possible modes to choose the best one having the minimum RDcost. This paper presents a frame-layer rate control for H.264/AVC that computes the Lagrange multiplier (λMODE) for mode decision by using a quantization parameter (QP) which may be different from that used for encoding. At the same time, we also compare actual bits produced by previous macroblocks (MBs) with the total bits allocated to these MBs to further modify λMODE. The objective of these measures aims to produce bits as close to the frame target bits for rate control as possible. This is very important in the case of low-bit-rate tight buffer applications. In order to obtain an accurate QP for a frame, we employ a complexity-based bit-allocation scheme and a QP adjustment method. Simulation results comparing with the H.264 Joint Video Team (JVT) rate control method show that the H.264 encoder, using the proposed algorithm, achieves a visual quality improvement of about 0.56 dB, performs better for buffer overflow and underflow, and achieves a smaller PSNR deviation.