Vector quantization and signal compression
Vector quantization and signal compression
A review of the minimum maximum criterion for optimal bitallocation among dependent quantizers
IEEE Transactions on Multimedia
Rate control of MPEG video coding and recording by rate-quantization modeling
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
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Rate control in standards such as MPEG-2 or H263 plays an important role in controlling the compression rate and stabilizing the decoding and playback quality. In this paper, we combine the simplicity of the rate-distortion (R-D) predictive models with the improved R-D performance offered by the iterative approaches and we design effective rate control algorithms for low encoding delay and low complexity video compression. The proposed algorithms initially utilize the Lagrangian formulation in order to add a local R-D optimization component into the current rate control scheme of the standard. Subsequently, two online controllers are designed based on this local optimization scheme for adjusting the bit rate produced by the standard. Extensive experiments show improvements over the MPEG-2 scheme of 0.5-1 dB per frame for a variety of test sequences when the same target bit rates are maintained.