Based on the empirical envelope of a compressed video stream, a traffic description model was developed.
以视频码流流量的实测包络为基础，提出了一种流量描述模型。
In this paper, we present a fast algorithm that automatically detects caption text in MPEG compressed video.
提出了一种在MPEG压缩流上基于模型的快速标题文字探测算法。
When transmitting over the error-prone channels, the compressed video bit-steams are always vulnerable to all kinds of transmission errors.
视频压缩码流在传输过程中经常会遇到因各种原因引起的误码丢包等网络传输错误。
This paper proposes the method to measure perceptual quality of compressed video which is based on human visual features, video contents and Fuzziness.
论文提出了基于视觉特性、视频内容和模糊学的压缩视频感觉质量计算方法。
Quantization Constrain Set (QCS) was widely used as priori information about the coding process in super-resolution reconstruction of compressed video.
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。
The prediction error can be decreased, incorporating with high accuracy estimation and compensation, and the quality of compressed video can be improved.
高精度的匹配和补偿可以减少预测误差，提高压缩视频图像的质量。
The prediction error can be decreased by incorporating high accuracy estimation and compensation, and the performance of compressed video can be improved.
高精度的匹配和补偿可以减少预测误差，提高视频图像的压缩效果。
Blocking artifacts are serious artifacts caused by block-based hybrid video coding, and significantly impair the subjective quality of the compressed video.
方块效应是基于块的混合视频编码算法产生的重要特征失真，严重影响了压缩后视频的主观质量。
For the problem of integrity authentication about compressed video streams, this paper proposed a video watermarking algorithm based on Compressive Sensing (CS).
针对压缩域视频流的完整性认证问题，提出了一种基于压缩传感(CS)的视频水印算法。
The simulation results on modeling of MPEG-compressed video traffic demonstrate that TES models are able to characterize the burstiness of network traffic streams.
对MPEG视频业务的建模的仿真结果表明，TES模型能够很好地表征网络业务流的突发性。
The proposed method determines the motion activity and visual content change of the MPEG compressed video by using the luminance DCT DC value, macroblock type and motion vector.
本文算法利用亮度DCTDC值、宏块类型和运动向量来确定MPEG压缩视频中运动活动和视觉内容变化。
Up to now, more and more video materials are stored and transmitted in the compression form, so it is practical to study the shot segmentation algorithms based on compressed video data.
从实用角度看，目前越来越多的动态视频资料都是以压缩形式存储和传输，所以，研究基于压缩视频流的算法更有实际意义。
However, the compressed video streams are vulnerable to the random noise in channel and generate errors, therefore, error concealment in video communication draw more and more attention.
但是，压缩后的视频码流极易受到信道随机噪声的干扰而产生错误，因此，视频通信中的错误隐藏技术越来越多的受到人们的关注。
In this paper, at first briefly discuss the existing approaches, and then present a motion feature based key frame extracting method using fuzzy reasoning theory for MPEG compressed video.
首先介绍了目前的关键帧提取技术，然后提出了一种基于运动特征利用模糊推理算法从MPEG视频流中提取关键帧的方法。
This paper presents the method of using histogram to implement content-based retrieval in compressed-video.
文章介绍了以直方图为工具实现压缩视频基于内容检索系统的方法。
This paper presents the method of using histogram to implement content-based retrieval in compressed-video.
文章介绍了以直方图为工具实现压缩视频基于内容检索系统的方法。
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