Adaptive Scaling Algorithm of Sports Video Image Based on Collaborative Filtering

As technology and the times continue to change and progress, users find it difficult to get the information they need from the huge amount of video data. At the same time, they are faced with different sizes of today’s various multimedia display devices, such as tablets, mobile phones, televisions, and their vertical and horizontal proportions are different. Because the image size, proportion, and size of related equipment of these sports videos cannot be completely consistent, it is not only necessary to solve the problem of how to realize automatic image scaling but also to solve the problem that the old search engine and slow information filtering technology often cannot actively provide effective information services for users. This paper mainly studied the image adaptive scaling technology guided by collaborative filtering (CF) for sports video images. The proportion of video software using this algorithm technology in the whole market was investigated, which increased from 40 in January 2021 to 130 in June, indicating that this algorithm can be of great help to the video software sector. The specific contents of this paper include: introducing and studying algorithms based on CF, comparing various image adaptive scaling algorithms, proposing image adaptive algorithm research under the guidance of CF algorithm, and proposing quality solutions for the shortcomings of current algorithms.