Recent advances in rate control for video coding
Image Communication
Efficient one-pass frame level rate control for H.264/AVC
Journal of Visual Communication and Image Representation
A novel analytic quantization-distortion model for hybrid video coding
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
A cauchy-density-based rate controller for H.264/AVC in low-delay environments
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Frame-based bit allocation for spatial scalability in H.264/SVC
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Bit allocation for joint spatial-quality scalability in H.264/SVC
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
On optimizing H. 264/AVC rate control by improving R-D model and incorporating HVS characteristics
EURASIP Journal on Advances in Signal Processing
Video enhancement from multiple compressed copies in transform domain
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Quality estimation for H.264/SVC inter-layer residual prediction in spatial scalability
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
Rate-distortion optimized layered coding of high dynamic range videos
Journal of Visual Communication and Image Representation
LMM-based frame-level rate control for H.264/AVC high-definition video coding
Image Communication
A new rate-quantization model for H.264/AVC low-delay rate control
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Thermal-aware sensor scheduling for distributed estimation
ACM Transactions on Sensor Networks (TOSN)
A better bit-allocation algorithm for H.264/SVC
Proceedings of the Fourth Symposium on Information and Communication Technology
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Based on the observation that a Cauchy density is more accurate in estimating the distribution of the ac coefficients than the traditional Laplacian density, rate and distortion models with improved accuracy are developed. The entropy and distortion models for quantized discrete cosine transform coefficients are justified in a frame bit-allocation application for H.264. Extensive analysis with carefully selected anchor video sequences demonstrates a 0.24-dB average peak signal-to-noise ratio (PSNR) improvement over the JM 8.4 rate control algorithm, and a 0.33-dB average PSNR improvement over the TM5-based bit-allocation algorithm that has recently been proposed for H.264 by Li et al. The analysis also demonstrates 20% and 60% reductions in PSNR variation among the encoded pictures when compared to the JM 8.4 rate control algorithm and the TM5-based bit-allocation algorithm, respectively.