Sports Image Classification and Application Based on Visual Attention Analysis

As a unique culture, sports have a strong ornamental. Visual communication can positively affect the psychological experience of the audience. In recent years, due to the rapid development of digital media technology, multimedia based visual communication has become the main mode of communication in the field of sports. However, at the same time, the classification of sports images is still one of the core problems to be solved. Therefore, this paper puts forward the classification and Application Research of sports images based on visual attention analysis. In this paper, visual attention analysis and the application of this technology in sports image classification are studied in depth. The analysis shows that there are many sports image classification technologies, but most of the results are not ideal. The visual attention analysis technology can simulate the pattern of human eye recognition and classify sports pictures quickly and accurately. In view of this idea, this paper is still the actual needs of sports image classification, combined with the core technology of visual attention analysis, makes corresponding optimization and improvement. At the same time, the construction principle of sports image classification system is established. In order to further verify the effectiveness of this method, this paper establishes the relevant comparative analysis experiments. This experiment compares the visual obstacle method and the core technology method with the method in this paper. The results show that the average accuracy of the visual impairment method is 8.5%, the average accuracy of the core technology method is 11.2%, and the average accuracy of this method is 34.5%, which has obvious advantages.