At low bit rates, this restriction degrades the performance of the coder.
然而在低比特率，这种限制降低了编码器的性能。
Therefore, there is an increasing interest in video coding at such low bit rates.
因此，在低比特率条件下的视频编码逐渐被人们重视。
Results show that the proposed scheme outperforms the standard DCT, especially at very low bit rates.
结果表明，提出的方案优于DCT标准，特别是在非常低码率的情况下。
This paper presents a video coding technique that achieves high visual quality at very low bit rates.
提出了一种在非常低比特率情况下具有高质量的图像编码技术——特征头像集编码方案。
Therefore, further coding improvements are required to reach an acceptable picture quality at these low bit rates.
因此，在低比特率情况下的编码质量必须得到进一步改善。
At low bit rates, the block Discrete Cosine Transform (BDCT) compression methods often give rise to blocking artifacts.
低比特率时，基于块离散余弦变换(BDCT)的图像压缩方法常常会引起块效应。
Model based facial image coding has received extensive attention due to its high subjective image quality and low bit rates.
在人脸序列的图象编码中，由于模型基编码方法可以获得高的主观图象质量和低的码率，因而受到广泛重视。
The Low-Delay Code-Exited Linear Predictive (LD-CELP) Speech Coder can combine high quality with low delay at quite low bit rates.
低时延码激励线性预测(LD - CELP)语音编码能够在较低速率把高质量与低时延结合起来。
The automatic adaptation of a face model using action units is necessary for the model based coding of videophone sequences at very low bit rates.
基于表情活动单元的人脸模型自动适配是极低码率可视电话模型基编码所必需的。
This algorithm is fast and near symmetric (except in very low bit rates), which makes it suitable for real-time interactive multimedia applications.
这种算法是快速和近匀称(除了在低比特率方面)的，这使它适于实时交互式多媒体应用。
Code-Excited Linear Predictive (CELP) coding can provide natural speech quality at medium and low bit rates in contrast with conventional LPC vocoder.
码激励线性预测（CELP）编码在中低速率上与传统的LPC声码器相比可以提供更加自然的语音质量。
In this paper, developments of speech compression coding are briefly introduced, and importance is attached to recent advances in speech coding at low bit rates.
本文简要介绍了语音压缩编码的新进展，并且着重介绍低码率语音编码在新近几年所取得的进展。
The block-based DCT compression methods often cause blocking artifacts due to low bit rates. A new algorithm is proposed which combines HVS and entropy analysis.
针对离散余弦变换基于块（DCT）图像压缩的方法通常因比特率低而导致块效应，结合人类视觉系统（HVS）和局部熵分析，提出一种新的去块效应算法。
The experiment results show that the new still image compression scheme provides higher perceptual quality and less encoding time than EZW, especially at low bit rates.
实验结果表明，该算法具有较好的图像复原质量和较快的编码速度，整体性能明显优于EZW方案（特别是低比特率下）。
The experiment results show that the new still image compression scheme provides higher perceptual quality and higher PSNRs than SPIHT etc., especially at low bit rates.
仿真实验结果表明，所提出的图像编码方法是一种高效的图像压缩算法，其压缩效果明显优于SPIHT等编码方法(特别是低比特率下)。
Since the model based coding being presented from early 80's, it has got extensive attention as a video coding method due to high subject image quality and low bit rates.
模型基图像编码自80年代初提出后，由于在低码率情况下有高的主观图像质量，作为视频编码的方法得到了广泛的重视。
The block-Based Discrete Cosine Transform (BDCT) suffers from visible blocking artifacts between adjacent image blocks at low bit rates, which reduces the image visual quality.
块离散余弦变换在低比特率时其恢复图像的块边界上会出现明显可见的方块效应，从而降低了图像的视觉质量。
A major drawback of block discrete cosine transform (BDCT) is that the decoded images, especially at very low bit rates, exhibit highly noticeable blocking artifacts near the block boundaries.
为了减少低比特率时块离散余弦变换(BDCT)在块边界所出现的明显可见的方块效应，提出了一种新的DCT域的去块效应消除算法。
Experimental results show that the algorithm can save more bits at low bit-rates and greatly reduce the encoding time when small motion video sequences are encoded.
实验结果显示在低码率下，该算法能够大大节约编码的码字，而且在小运动序列时，可以显著减少编码的时间。
An error resilience scheme for very low bit rate speech coding was developed for speech communications on narrow band channels with high bit error rates.
为满足在高误码率的窄带信道上进行语音通信的需求，研究了一种适用于甚低速率语音通信的抗误码参数估值算法。
Experimental results show that the algorithm can save more bits at low bit-rates and greatly reduce the encoding Tim...
实验结果显示在低码率下，该算法能够大大节约编码的码字，而且在小运动序列时，可以显著减少编码的时间。
Experimental results show that the algorithm can save more bits at low bit-rates and greatly reduce the...
实验结果显示在低码率下，该算法能够大大节约编码的码字，而且在小运动序列时，可以显著减少编码的时间。
Experimental results show that the algorithm can save more bits at low bit-rates and greatly reduce the...
实验结果显示在低码率下，该算法能够大大节约编码的码字，而且在小运动序列时，可以显著减少编码的时间。
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