This paper presents an MPEG-2 compatible adaptive quantization algorithm that leads to the optimal encoding of I-frames in the sense of maximizing PSNR. It integrates three key features into a single Lagrangian optimization model: adaptive quantization including quantizer-change overhead consideration, coefficient thresholding, and a new coefficient amplitude reduction technique. Our results show that I-frames generated by the TM5 reference encoder are about 1.5-2.0 dB below the theoretical optimum
We show a rate-distortion optimal way to threshold or drop the DCT coefficients of the JPEG and MPEG...
We discuss a strategy for adaptive quantisation in an MPEG encoder, based on the properties of the h...
Video coding is the process of compressing and decompressing a digital video signal, which has been ...
This paper presents an MPEG-2 compatible adaptive quantization algorithm that leads to the optimal e...
This paper presents an MPEG..2 compatible adaptive quan tization algorithm that leads to the optimal...
Requantization is one of the tools for bit-rate reduction of pre-encoded video to adapt it to variou...
A simple scheme for fast Rate Distortion optimization based on Lagrange multipliers is presented in ...
Requantization is one of the tools for bit-rate reduction of pre-encoded video to adapt it to variou...
In this paper we propose a rate-distortion optimized multipass algorithm for video encoding. The pro...
International audienceIn this paper, an improvement of the quantization optimization algorithm for t...
International audienceOptimal adaptive quantization is one of the key points to optimize the coding ...
Abstract—A rate-distortion (R-D) optimization rate control (RC) algorithm with adaptive initializati...
In video coding, the coding decisions made during the encoding of a reference frame impact the achie...
Several new rate quantization models were proposed for predicting the global behavior of the encoder...
In this paper we improve the rate-distortion performance of a previously proposed video coder based ...
We show a rate-distortion optimal way to threshold or drop the DCT coefficients of the JPEG and MPEG...
We discuss a strategy for adaptive quantisation in an MPEG encoder, based on the properties of the h...
Video coding is the process of compressing and decompressing a digital video signal, which has been ...
This paper presents an MPEG-2 compatible adaptive quantization algorithm that leads to the optimal e...
This paper presents an MPEG..2 compatible adaptive quan tization algorithm that leads to the optimal...
Requantization is one of the tools for bit-rate reduction of pre-encoded video to adapt it to variou...
A simple scheme for fast Rate Distortion optimization based on Lagrange multipliers is presented in ...
Requantization is one of the tools for bit-rate reduction of pre-encoded video to adapt it to variou...
In this paper we propose a rate-distortion optimized multipass algorithm for video encoding. The pro...
International audienceIn this paper, an improvement of the quantization optimization algorithm for t...
International audienceOptimal adaptive quantization is one of the key points to optimize the coding ...
Abstract—A rate-distortion (R-D) optimization rate control (RC) algorithm with adaptive initializati...
In video coding, the coding decisions made during the encoding of a reference frame impact the achie...
Several new rate quantization models were proposed for predicting the global behavior of the encoder...
In this paper we improve the rate-distortion performance of a previously proposed video coder based ...
We show a rate-distortion optimal way to threshold or drop the DCT coefficients of the JPEG and MPEG...
We discuss a strategy for adaptive quantisation in an MPEG encoder, based on the properties of the h...
Video coding is the process of compressing and decompressing a digital video signal, which has been ...