Abstract — The Lagrangian technique proves to be an effective way in Rate-Distortion optimization for hybrid video coding. In this paper, an new Lagrange multiplier selection method for Intra-Frame coding is presented. Based on Laplacian distribution, the variance of transformed residual coefficients is introduced into the rate and distortion model, so that the proposed method is able to adaptively optimize the encoding process for different types of videos. It outperforms the algorithm used in the reference software of H.264/AVC, especially for computer animations and videos with small movements. According to the simulations, a gain up to 0.3 dB was achieved. I
Rate-distortion optimization (RDO) plays an essential role in substantially enhancing the coding eff...
Designed for scalable video coding, an efficient algorithm for Lagrange multiplier selection, named ...
Lossy compression is widely applied for coding visual information in applications such as entertainm...
The Lagrangian multiplier based rate-distortion optimization has been proved to be an effective way ...
Rate-distortion (R-D) optimized mode decision plays an essential role in H.264/AVC encoding. Among a...
In the recent video coding standards, the selection of Lagrange multiplier is crucial to achieve tra...
In a typical video rate allocation problem, the objective is to optimally distribute a source rate b...
International audienceRate-distortion optimization (RDO) is widely used in video coding, which plays...
The complexity of video coding standards has increased significantly from H.262/MPEG-2 to H.264/AVC ...
The motion estimation (ME) process used in the H.264/AVC reference software is based on minimizing a...
9th Irish Machine Vision and Image Processing Conference (IMVIP), Belfast, Northern Ireland, 30 - 31...
In this paper we provide an overview of rate-distortion (R-D) based optimization techniques and thei...
A rate-distortion-optimized coder control for block-based hybrid video coders using Lagrangian techn...
The Lagrangian coder control together with the parameter choice is presented that lead to the creati...
International audienceThis research proposed a method for adaptive Lagrange multiplier determination...
Rate-distortion optimization (RDO) plays an essential role in substantially enhancing the coding eff...
Designed for scalable video coding, an efficient algorithm for Lagrange multiplier selection, named ...
Lossy compression is widely applied for coding visual information in applications such as entertainm...
The Lagrangian multiplier based rate-distortion optimization has been proved to be an effective way ...
Rate-distortion (R-D) optimized mode decision plays an essential role in H.264/AVC encoding. Among a...
In the recent video coding standards, the selection of Lagrange multiplier is crucial to achieve tra...
In a typical video rate allocation problem, the objective is to optimally distribute a source rate b...
International audienceRate-distortion optimization (RDO) is widely used in video coding, which plays...
The complexity of video coding standards has increased significantly from H.262/MPEG-2 to H.264/AVC ...
The motion estimation (ME) process used in the H.264/AVC reference software is based on minimizing a...
9th Irish Machine Vision and Image Processing Conference (IMVIP), Belfast, Northern Ireland, 30 - 31...
In this paper we provide an overview of rate-distortion (R-D) based optimization techniques and thei...
A rate-distortion-optimized coder control for block-based hybrid video coders using Lagrangian techn...
The Lagrangian coder control together with the parameter choice is presented that lead to the creati...
International audienceThis research proposed a method for adaptive Lagrange multiplier determination...
Rate-distortion optimization (RDO) plays an essential role in substantially enhancing the coding eff...
Designed for scalable video coding, an efficient algorithm for Lagrange multiplier selection, named ...
Lossy compression is widely applied for coding visual information in applications such as entertainm...