An effective algorithm is proposed to segment moving object in compressed domain and pixel domain method combined.
提出一种视频的压缩域与像素域特征结合的运动对象分割算法。
Image retrieval techniques are crucial in multimedia application, a number of retrieval techniques that operate in the pixel domain have been reported in the literature.
图像检索技术是多媒体应用中的关键技术，现有的基于内容的图像检索技术大都是基于非压缩域的。
For low frequency fusion, it is used to combine with bases on domain pixel correlation and regional variance.
对于低频融合，采用了基于领域像素相关和基于区域方差相结合的融合策略。
This enables the integrated charge to be converted into a voltage inside the pixel, which can then be read out over X-Y wires (instead of using a charge domain shift register, as in CCDs).
这使得综合费用被转换成电压在像素，就可以读出在x - y导线(而不是使用电荷领域，如在ccd移位寄存器)。
Various shot detection methods in decompressed domain are studied. We realize shot detection based on two methods, such as color histogram difference and pixel-based domain.
研究了解压域镜头探测技术，实现了利用直方图差值探测镜头和基于像素域探测镜头两种方法。
The technology of video stream transcoding can be divided into two types: spatial domain(pixel-domain) and compressed domain(DCT-domain).
目前的视频流转码大致可以分为空域（像素域）转码和压缩域（DCT域）转码两种方法。
Then, every frame is mapped from spatial domain to statistical domain incorporating the factors such as the difference image from the consecutive frames and the prior distribution of a pixel density.
然后，结合图像帧间的差分信息以及灰度分布的先验概率等因素将图像从空间域映射至统计域。
Under different classifications, image fusion algorithms can consist of space domain and transform domain, or pixel-level, feature-level and decision-making level.
根据图像融合分类的不同，图像融合的算法可分为空域、变换域融合算法，或像素级、特征级和决策级融合算法。
There are three advantages of our study. 1. We embedded the watermark by frequency domain and created unexpanded shares, which reduced the impact of pixel modification effectively.
本研究的优点有三个：一，我们的方法以频率域的方式嵌入浮水印，产生不扩展的分享影像，降低了像素值易受攻击的影响。
Experimental results on typical test sequences demonstrate that the proposed approach can achieve pixel-level accuracy for com-pressed-domain video object extraction.
典型视频测试序列的实验结果表明，本方法可取得接近于像素级的分割精度。
Experimental results on typical test sequences demonstrate that the proposed approach can achieve pixel-level accuracy for com-pressed-domain video object extraction.
典型视频测试序列的实验结果表明，本方法可取得接近于像素级的分割精度。
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