Lihua Zhang
In this paper, we study the immersive information collection platform to assist the primary school English smart classroom construction from camera network to image clustering algorithms. Although the feature representation based on image content fully explores the relative relationship of image local features in the feature domain, these content information ignores their contextual information in the global domain, which makes the image representation obtained by the final algorithm missing, which may lead to Image clustering effect is not ideal. Hence, in this paper, the novel camera network to the image clustering algorithms are well defined together to make the comprehensive modelling of the study. Based on the concept of attribute reduction, the weight of each attribute is calculated, and the weight is used to determine the different points in the region and every decision is based on class equivalence. In further, the information collection platform to assist primary school English smart classroom construction is designed and verified. Through the verification, the performance is proven to be effective.
Image clustering; camera network; data transmission; information collection; smart classroom