Analysis of the Value of College Chinese Courses

摘要

Based on college Chinese curriculum research, computer integration software is used. Data processing is achieved by an image compensation method suitable for moving target detection under rotating imaging. Then, the sliding window dynamic time warping and CNN video facial expression recognition are combined to grasp the teacher's perception of the university language. Angle texture features are used to extract motion path analysis from high resolution remote sensing images. More data content was obtained. The value of this content is compared. By using hyperspectral human body image restoration with mixed total variation and low rank constraints and gradient-guided high-order geometric motion color image denoising model, the value of the research is reflected.