In this paper, we study the rules of video website content monitoring, and improve the existing K-MEANS clustering algorithm according to the new rule. The K-MEANS clustering algorithm has obvious defects in clustering recognition and computing efficiency due to the influence of unstructured factors of the video content data. The advantage of the improved K-MEANS clustering algorithm takes into account the sequence relations of video frames and maintains the acceptable retrieval speed.