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。
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。
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