针对帧间编码模式的复杂性，本文提出一种快速模式判决算法。
To reduce the complexity of inter prediction, a fast inter mode decision algorithm is proposed.
该编码算法采用帧内编码和帧间编码相结合的方法对序列图像进行压缩编码。
This coding algorithm can compress video by the method of combining inter-frame compression and intra-frame compression.
在视频压缩的过程中，实现了帧内编码与帧间编码两种编码方式，运用了预测编码、运动估计、运动补偿等技术。
During the video encoding process, there are two coding types, which are Intra-frame and Inter-frame, using the methods of motion prediction, estimation and compensation.
文中提出了一种用于帧间编码的新的运动预测方法(MEHSSIM)，它建立在基于人眼视觉系统的结构相似性的基础之上。
In this paper, a new motion estimation method based on an improved structure similarity is proposed, that is, HVS-based structure similarity (MEHSSIM) for inter-frame encoding.
帧间预测是视频压缩的关键技术之一，能有效消除视频编码中的时间冗余，降低编码码率，提高编码效率。
Interframe prediction is key to video compression and can effectively eliminate the time redundancy of video coding, reduce coding rate and enhance coding efficiency.
文中论述了帧间比特平面编码的原理，讨论了编码参数的选择，并给出了实验结果。
Also, the principle of the inter-frame bit plane coding is described here; the selection of coding parameters is discussed and experimental results are given.
提出一种H . 264编码中帧间模式选择的算法，利用帧与帧之间的时间相关性并提出通过模式识别中统计分类的方法对帧间宏块模式进行分类。
In this paper, we have proposed an inter-mode selection algorithm for H. 264, which is based on the time-relativity of the neighboring frames and adopts the idea of statistic classification.
运动估计是视频压缩中帧间预测编码的关键技术之一，在各个压缩标准中都广泛使用了基于块的运动估计技术。
Motion estimation is one of the key technologies in inner - frame estimation encoding of video compression. In all kinds of compression standard, motion estimation based on block is used widely.
运动估算是视频信号的帧间预测编码中的一个重要环节，其效率和精度直接影响到编码器的性能。
Motion estimation is a very important part in the inter prediction technical of video coding, and the performance of a video coder largely depends on the efficiency and precision of motion estimation.
本文还提出了用于屏幕图像帧间压缩的窗口对象这一概念，并设计了窗口对象编码方案。
A software scheme of the object-code of Windows is designed for the compression of inter-frame.
主要研究适于窄带低码率活动图像的帧间预测编码算法。
Interframe prediction coding algorithm for narrow band low bit rate image sequence is presented in this paper.
为了进一步降低码率，提出了减少信号帧间冗余信息的轨迹编码方法，同时引入了解码端频域无相位综合算法。
To give further bit reduction of the redundancy between signal frames, a novel Sinusoidal Tracking Coding algorithm has been proposed.
从理论上分析了帧内变换、预测编码算法，得出其优点，并通过实验验证了帧内变换、帧内预测、帧间预测的混合编码方法优越性。
Many newly technique and algorithms are emphatically analysed. Theoretical analysis educes the advantage of latter method, and experiment result validates the superiority of such coding method.
测试结果表明H . 264编码的复杂性主要体现在帧间预测模块中，要加快H . 264的编码速度，就必须对这个模块进行优化。
Testing results show that the complexity of H. 264 encoding is mainly reflected in the inter prediction module. To speed up H. 264 encoding speed, it is necessary to optimize this module.
图像分形后，对相邻帧间对应的数据求差并进行压缩编码，减少时间与空间冗余度。
After image was decomposed, the corresponding data were compressed and coded. It could reduce the time and space redundancy.
本文利用计算机模拟对各种类型的编码方案，包括最佳线性预测器、自适应量化器、帧内自适应预测器以及帧内-帧间自适应预测器进行了比较。
Various coding schemes such as optimum linear predictors, adaptive quantizers, intraframe adaptive predictors, and intra-interframe adaptive predictors are compared by means of computer simulations.
为降低H.264的编码复杂度，提出了一种快速帧间预测算法。
To reduce the complexity of the H. 264 encoder, a fast inter prediction algorithm is proposed in this paper.
本发明公开一种帧间预测编码方法、解码方法、编码装置、解码装置，以及一种分像素插值处理方法和装置。
The invention discloses an interframe forecasting coding method, a decoding method, a coder, a decoder, a sub-pixel interpolation processing method and a sub-pixel interpolation processing device.
运动估计是视频压缩中帧间预测编码的关键技术之一，在各个压缩标准中都广泛使用了基于块的运动估计技术。
Video compression interframe predictive coding one of the key technologies. in various compression standards has made extensive use of block-based motion estimation technology.
运动估计是视频压缩中帧间预测编码的关键技术之一，在各个压缩标准中都广泛使用了基于块的运动估计技术。
Video compression interframe predictive coding one of the key technologies. in various compression standards has made extensive use of block-based motion estimation technology.
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