MPEG: a video compression standard for multimedia applications
Communications of the ACM - Special issue on digital multimedia systems
Convex Optimization
Image-Based Rendering
Dynamic Bit Allocation for Multiple Video Object Coding
IEEE Transactions on Multimedia
A mathematical analysis of the DCT coefficient distributions for images
IEEE Transactions on Image Processing
Rate control of MPEG video coding and recording by rate-quantization modeling
IEEE Transactions on Circuits and Systems for Video Technology
A new rate control scheme using quadratic rate distortion model
IEEE Transactions on Circuits and Systems for Video Technology
Source model for transform video coder and its application. I. Fundamental theory
IEEE Transactions on Circuits and Systems for Video Technology
Bit-rate control using piecewise approximated rate-distortion characteristics
IEEE Transactions on Circuits and Systems for Video Technology
Rate control in DCT video coding for low-delay communications
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-4 rate control for multiple video objects
IEEE Transactions on Circuits and Systems for Video Technology
Rate control and bit allocation for MPEG-4
IEEE Transactions on Circuits and Systems for Video Technology
Scalable rate control for MPEG-4 video
IEEE Transactions on Circuits and Systems for Video Technology
Low-delay rate control for DCT video coding via ρ-domain source modeling
IEEE Transactions on Circuits and Systems for Video Technology
Optimum bit allocation and accurate rate control for video coding via ρ-domain source modeling
IEEE Transactions on Circuits and Systems for Video Technology
Linear rate-distortion models for MPEG-4 shape coding
IEEE Transactions on Circuits and Systems for Video Technology
Convex Programming Formulations for Rate Allocation in Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Towards Rate-Distortion Tradeoff in Real-Time Color Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a new convex optimization-based bit allocation framework for video coding. Motivated by the statistical analysis of the relationship between the rate and the corresponding distortion in typical video sequences, an improved empirical rate-distortion model with more flexibility in explaining the experimental observations is proposed. The convexity and monotonicity properties of the proposed model allow us to formulate the bit allocation problem as a convex programming problem, which can be solved using interior-point methods. Coupled with the region of interest (ROI) functionality and the technique of MB classification, the proposed bit allocation scheme is then applied to the problem of frame-level bit allocation for various video coding standards employing motion compensated hybrid DCT/DPCM technique. Similar bit allocation scheme is also developed for MPEG-4 video object coding at the object level. The relevant model parameters are determined using previously encoded data by means of linear regression. Simulation results show that the proposed algorithms can achieve considerably better PSNR performance than the conventional approaches for the tested video sequences, at the expenses of slight increase in coding complexity.