多媒体学习环境下视频图像信息特征挖掘仿真

摘要

为了有效地提升多媒体学习环境下的学习质量,需要进行多媒体学习环境下视频图像信息特征挖掘.但是采用当前的方法进行视频图像信息特征挖掘时,无法给出度量视频图像信息大小的准则,存在信息特征挖掘精度较低的问题.为此,提出一种基于图像差分特征的多媒体学习环境下视频图像信息特征挖掘方法.方法先融合于信息统计原理,给出度量图像特征差异离散度的准则,通过最大化差异离散度和最小化局部离散度准则搜索图像特征的投影方向,定义图像间的差分特征,表示在特定色彩空间中的图像特征集,提取图像特征的特定尺度变换,利用SSIM方法计算出图像特征像素的色彩参数,以此为依据进行多媒体学习环境下视频图像信息特征挖掘.仿真证明,所提方法挖掘精度高,可以为创造高质量的多媒体学习环境提供有力的依据.%This article proposes a mining method for information characteristics of video image under multimedia learning environment based on feature of image difference.Firstly,we provided criterion measuring dispersion of image characteristic difference integrated with information statistics,and then searched projection direction of image characteristic through criterion of maximizing difference dispersion and minimizing local dispersion.Moreover,we defined difference characteristic among images to express feature set of image in specific color space and extracted specific change of scale of image feature.SSIM method was research used to work out color parameters of image feature pixel.Finally,according to the parameters,the mining for information characteristics was completed.Simulation proves that the method has high mining precision and can provide powerful gist for creating multimedia learning environment with high quality.