文中描述了第四版MPEG-4视频验证模型的结构及其提供的主要编码工具和算法。
The structure of the 4th edition of MPEG-4 video verification model and the main coding tools and algorithms are described.
本文就ATM环境下变速率视频编码的统计特性及其模型研究作了综合性评述。
This paper reviews the research works on the statistical characteristics and modeling of variable bit rate video coding in ATM environment.
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。
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.
按照MPEG - 4的校验模型，视频序列必须先分割成具有语义意义的视频对象，然后对其运动、形状和纹理分别进行编码。
According to the MPEG-4 verification model, video sequence must be segmented into semantic video objects. Their motion, shape and texture information are coded respectively.
在压缩视频的超分辨率重建中，量化约束集(QCS)作为编码模型的先验信息被广泛采用。
Quantization Constrain Set (QCS) was widely used as priori information about the coding process in super-resolution reconstruction of compressed video.
本课题的主要工作就是对人眼部分特性进行研究，并建立相应的模型，应用于视频编解码器中，指导编码器完成更加高效的编码。
The kernel work of this thesis is to research on vision characteristics, establish perceptual coding models, and use them to accomplish effective coding.
针对MPEG - 4的低质量和高质量两种编码质量的视频源，给出了一种混合模型，此模型在多个时间尺度上反映帧大小的变化：场景的变化和同一场景内码流的波动。
Based on the MPEG-4 video traffic of low quality and high quality, a hybrid model is presented to capture the frame size at multiple time scales: the change of scene and fluctuation of bit-rate.
依据电视学色度图的定义，建立了基色编码条件下的信号数学模型，给出了一个与亮度、色调和饱和度相关的数字视频测试信号的设计方法。
By the definition of chroma in television principle, the mathematic model of signal based on basic chroma coding is established. The method concerning luminance, hue and saturation is also presented.
本文研究了MPEG - 4中人脸视频对象的模型基编码，对整个系统进行了全面的分析，将系统按编解码结构分成分析和合成两部分。
In this thesis, MPEG-4 model-based coding for facial video object is investigated. The whole codec system is generally discussed and divided into two parts of Analysis and Synthesis.
对运动区域（视频前景），基于小波分析技术实现视频图像的人脸检测，进而引入改进的人脸模型进行高效的压缩编码；
Following, a wavelet based face detection algorithm is presented for the moving regions (foreground video objects), and an amendment for face model within MPEG-4 is introduced.
对运动区域（视频前景），基于小波分析技术实现视频图像的人脸检测，进而引入改进的人脸模型进行高效的压缩编码；
Following, a wavelet based face detection algorithm is presented for the moving regions (foreground video objects), and an amendment for face model within MPEG-4 is introduced.
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