Lagrange multiplier selection in hybrid video coder control
By Thomas Wiegand, Bernd Girod. Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001
327 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/ab2a3e53ae016d56cc02221e63d82e5c1e685871
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Thomas Wiegand
- Gary J. Sullivan
- Heiko Schwarz
- Detlev Marpe
- Thomas Stockhammer
- Ajay Luthra
- Miska M. Hannuksela
- Fernando Manuel Bernardo Pereira
In Signal Processing
- Thomas Wiegand
- Gary J. Sullivan
- Heiko Schwarz
- Detlev Marpe
- Thomas Stockhammer
- Ajay Luthra
- Miska M. Hannuksela
- Fernando Manuel Bernardo Pereira
Citations in the corpus
- Rate-distortion analysis for H.264/AVC video coding and its application to rate control (2005, background): “In addition, the rate-distortion optimization (RDO) [21], [22] scheme also makes the rate control a difficult task, because both RDO-based coding mode selection and rate control depend on the quantization parameter.”
- Rate-constrained coder control and comparison of video coding standards (2003, background): “Lagrange parameters and . In [24], [ 27 ] it was shown via experimental results that the following relationship is efficient for H.263/MPEG-4:”
- H.264/AVC in wireless environments (2003, methodology): “The selection of the Lagrange parameter depends on the selected QPs (for details, see [ 53 ]).”
- Video coding with H.264/AVC: tools, performance, and complexity (2004, methodology): “All encoders are rate-distortion optimized using rate constrained encoder control [10], [33], [34].”
- Video coding using the H.264/MPEG-4 AVC compression standard (2004, background): “Rate distortion optimized motion vector decision The goal of rate distortion optimization for motion estimation [38,37] is to help select the best motion vector and reference picture from the choice of candidate motion vectors and reference pictures during the block matching motion search.”