With the explosive growth of information on the web, users face difficulties finding their desired information. There is a need to manage and cluster data efficiently. Although there are various multimedia database systems available for retrieval, most of the methods are not efficient enough. Artificial Intelligence (AI) is increasingly shaping media production and consumption, particularly in the field of video blogs (vlogs). This paper explores the intersection of AI and media, focusing on its implications for freedom of speech and media, content creation, video recommendations, content moderation, and content personalization. The objective is to extract relevant videos from a multimedia database, evaluate the performance of AI algorithms in processing video data, and demonstrate the effectiveness of these algorithms in enhancing the quality and accessibility of video blogs.