Digital Coding of Waveforms: Principles and Applications to Speech and Video
Digital Coding of Waveforms: Principles and Applications to Speech and Video
A mathematical analysis of the DCT coefficient distributions for images
IEEE Transactions on Image Processing
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
Rate control in DCT video coding for low-delay communications
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive intra block update for robust transmission of H.263
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
Overview of fine granularity scalability in MPEG-4 video standard
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
Blocking artifact detection and reduction in compressed data
IEEE Transactions on Circuits and Systems for Video Technology
A study of MPEG-4 rate control scheme and its improvements
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
DCT quantization noise in compressed images
IEEE Transactions on Circuits and Systems for Video Technology
Rate-distortion analysis for H.264/AVC video coding and its application to rate control
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
Improvement on Rate-Distortion Performance of H.264 Rate Control in Low Bit Rate
IEEE Transactions on Circuits and Systems for Video Technology
Efficient H.261-based two-layer video codecs for ATM networks
IEEE Transactions on Circuits and Systems for Video Technology
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Quantization errors in discrete-cosine-transform (DCT) video compression are known as DCT residues. Knowledge on their distribution is essential in understanding rate-distortion (R-D) behaviors of generic video coding. Traditional R-D analysis adopted a simplified distortion model. Those distortion models took only quantization parameter into account. They lack adaptability to variation of video sources, as the distribution of coding errors also depends on the statistics of video source. Another common approach models the distribution of DCT residues by fitting experimental data from coded pictures to conjectured statistical distributions, but it did not provide insights into what gives rise to the distribution of DCT residues. This paper intends to quantify the distribution of DCT residues with respect to video source and with respect to the quantization strategy by understanding the quantization of DCT frequency components. Moreover, it is applied to derive an R-D model to show the advantage of the proposed distribution model.