Fundamentals of digital image processing
Fundamentals of digital image processing
Asymptotically efficient quantizing
IEEE Transactions on Information Theory
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
Modeling DCT coefficients for fast video encoding
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
A unified rate-distortion analysis framework for transform coding
IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity transform and quantization in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Rate Control for H.264 Video With Enhanced Rate and Distortion Models
IEEE Transactions on Circuits and Systems for Video Technology
Efficient Bit Allocation and Rate Control Algorithms for Hierarchical Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we present a new rate-quantization (R-Q) model for H.264/AVC low-delay rate control. Our rate model is a power function of the quantization stepsize, which is derived through theoretical analysis assuming the Laplacian distributed source. Model parameters are content adaptive and updated frame by frame. Proposed R-Q model is implemented on H.264/AVC reference software JM17.2 to evaluate the performance, where accurate quantization stepsize is selected for each frame according to the target bit rate. As compared to the most recent published work [5] and well-known R-Q model adopted in JM [13], we have shown that almost 2x performance improvement in terms of the bits mismatch error.