Dynamic programming: deterministic and stochastic models
Dynamic programming: deterministic and stochastic models
Efficiency analysis of multihypothesis motion-compensated prediction for video coding
IEEE Transactions on Image Processing
A mathematical analysis of the DCT coefficient distributions for images
IEEE Transactions on Image Processing
Rate Distortion Optimization for H.264 Interframe Coding: A General Framework and Algorithms
IEEE Transactions on Image Processing
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
Generalized rate-distortion optimization for motion-compensated video coders
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
Rate-constrained multihypothesis prediction for motion-compensated video compression
IEEE Transactions on Circuits and Systems for Video Technology
A linear source model and a unified rate control algorithm for DCT video coding
IEEE Transactions on Circuits and Systems for Video Technology
On Lagrange multiplier and quantizer adjustment for H.264 frame-layer video 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
Efficient one-pass frame level rate control for H.264/AVC
Journal of Visual Communication and Image Representation
Lagrange multiplier selection for rate-distortion optimization in SVC
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Model based analysis for quantization parameter cascading in hierarchical video coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Spatio-temporal visual distortion and rate optimization for video coding
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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In today's hybrid video coding, Rate-Distortion Optimization (RDO) plays a critical role. It aims at minimizing the distortion under a constraint on the rate. Currently, the most popular RDO algorithm for one-pass coding is the one recommended in the H.264/AVC reference software. It, or HR-λ for convenience, is actually a kind of universal method which performs the optimization only according to the quantization process while ignoring the properties of input sequences. Intuitively, it is not efficient all the time and an adaptive scheme should be better. Therefore, a new algorithm Lap-λ is presented in this paper. Based on the Laplace distribution of transformed residuals, the proposed Lap-λ is able to adaptively optimize the input sequences so that the overall coding efficiency is improved. Cases which cannot be well captured by the proposed models are considered via escape methods. Comprehensive simulations verify that compared with HR-λ, Lap-λ shows a much better or similar performance in all scenarios. Particularly, significant gains of 1.79 dB and 1.60 dB in PSNR are obtained for slow sequences and B-frames, respectively.