An improved optimal bit allocation method for sub-band coding
Pattern Recognition Letters
Recent advances in rate control for video coding
Image Communication
Proceedings of the international workshop on Workshop on mobile video
Study on the distribution of DCT residues and its application to R-D analysis of video coding
Journal of Visual Communication and Image Representation
Efficient Bit-Rate Estimation for Mode Decision of H.264/AVC
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Frame-Level ρ-Domain R-D Optimization in H.264
IEICE - Transactions on Information and Systems
Quantization Parameter Refinement in H.264 through ρ-Domain Rate Model
IEICE - Transactions on Information and Systems
A Simple Quantitative Model of AVC/H.264 Video Coders
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Efficient one-pass frame level rate control for H.264/AVC
Journal of Visual Communication and Image Representation
Model-based transrating of H.264 coded video
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
Estimating the value of θ in the intra frame for ρ-domain rate control algorithms
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
A global model of AVC/H.264 video encoders
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Perception Based Down Sampling for Low Bit Rate Image Coding
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Convex Optimization-Based Bit Allocation for Video Coding
Journal of Signal Processing Systems
Enhancement layer rate control for high bitrate SNR scalable video coding
Journal of Visual Communication and Image Representation
Operational distortion-quantization curve-based bit allocation for smooth video quality
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation
Single frame rate-quantization model for MPEG-4 AVC/H.264 video encoders
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Spatial bit allocation with SAQD-domain source models for H.264/SVC
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
H.264/AVC entropy decoder complexity analysis and its applications
Journal of Visual Communication and Image Representation
A SAQD-domain source model unified rate control algorithm for H.264 video coding
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
LMM-based frame-level rate control for H.264/AVC high-definition video coding
Image Communication
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We present a new framework for rate-distortion (R-D) analysis, where the coding rate R and distortion D are considered as functions of ρ which is the percentage of zeros among the quantized transform coefficients. Previously (see He, Z. et al., Int. Conf. Acoustics, Speech and Sig. Proc., 2001), we observed that, in transform coding of images and videos, the rate function R(ρ) is approximately linear. Based on this linear rate model, a simple and unified rate control algorithm was proposed for all standard video coding systems, such as MPEG-2, H.263, and MPEG-4. We further develop a distortion model and an optimum bit allocation scheme in the ρ domain. This bit allocation scheme is applied to MPEG-4 video coding to allocate the available bits among different video objects. The bits target of each object is then achieved by our ρ-domain rate control algorithm. When coupled with a macroblock classification scheme, the above bit allocation and rate control scheme can also be applied to other video coding systems, such as H.263, at the macroblock level. Our extensive experimental results show that the proposed algorithm controls the encoder bit rate very accurately and improves the video quality significantly (by up to 1.5 dB).