To overcome the problem in RGB color model used to deal with video shot detection, proposes a method based HSV-color space model of scene cutting in video abstraction.
针对RGB彩色空间模型下统计直方图用于切分场景时，存在对内容变化不敏感、计算量大等问题，提出了一种基于HSV空间模型的视频场景切分方法。
By analyzing the algorithm based on the single gauss model to extract the background, one improved algorithm based on multi-gauss model in HSV color space is proposed.
分析单高斯模型提取背景的算法，提出改进算法：在HSV色彩空间下，通过多高斯背景建模提取背景。
A modified model of color space conversion is presented based on analyzing the color rendering principle of scanning object and the causes of color error.
在分析扫描物呈色原理和误差产生原因的基础上，提出了一种扫描输入图像的色空间转换的修正模型。
RGB-SS skin detection models, as for the function, is combination of color space and complexion model.
SS肤色检测模型，在功能上是色彩空间和肤色模型的结合。
It also explains how to use color psychological illusions to compromise architectural space and model, to improve the environmental atmosphere and enhance the expression of architectural surroundings.
论述了色彩心理对人的影响，以及如何运用色彩的心理错觉调整建筑空间与造型，改善环境气氛，增强建筑环境的表现力。
In the new color space, the skin color model is established using Gaussian model.
在新的彩色空间中，用高斯模型来建立皮肤模型。
This thesis introduced RGB space, CMYK space, HSV space. All these spaces, HSV space is more suitable for human to perceive color. Also, this model has good linear scalability advantages.
其中HSV空间更符合人眼感知色彩的方式，此空间模型具有线性伸缩性良好，色差与颜色分量在相应值上的欧几里德距离成比例等优点。
Based on BP neural network, algorithm transforming CMY to XYZ color space was dis - cussed. Working flow of transforming algorithm was given and algorithm model was established.
对基于BP神经网络的CMY到xyz颜色空间转换算法进行了探讨，给出了算法工作流程并建立了模型。
Firstly, in common RGB color space, established the skin model, through effective threshold estimation method, realized the skin recognition.
在常见的RGB颜色空间的上，建立了肤色模型，通过有效的阈值估计方法，实现肤色识别。
The experimental results show that the modified model can improve color space conversion accuracy compared with mainstream equations which have relative high conversion accuracy.
最后给出的实验结果表明，与目前具有较高转换精度的主流模型比较，本文模型能够明显提高转换精度。
This paper introduced three skin-color detecting model: Statistical color model, Chroma Space model and Gaussian Mixture model.
本文介绍了常用的三种肤色检测模型：统计颜色模型、色度空间模型和高斯混合模型。
Through the comparing with the experiments, the Chroma Space model was simply and had a good effect, so it was selected as the skin-color detecting model.
通过实验比较，最终选择算法简单、正确率高的色度空间模型作为肤色检测模型。
Through the comparing with the experiments, the Chroma Space model was simply and had a good effect, so it was selected as the skin-color detecting model.
通过实验比较，最终选择算法简单、正确率高的色度空间模型作为肤色检测模型。
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