A Smart Video Streaming Web Portal

Abstract

Mining data is a technique for extracting required data from a massive knowledge base. Nowadays, multimedia data is increasing and is widely utilized in many major applications like medicine, security and surveillance, entertainment, education, and sports. Nowadays, content-related video retrieval is imperative. The prevailing data processing techniques cannot be directly applied to multimedia, i.e., video. The proposed system utilizes data mining techniques for getting content-based videos from huge data sets. The videos uploaded are classified based on categories by the admin and the videos are automatically migrated to the cloud server. To save the users' time, the video’s content is given in the form of a small summary or snippet to the users. By looking at the summary, they will ascertain the relevance of the video that they want. Though it is provided in YouTube videos nowadays, that content is not sufficient enough to reveal the video content, so we are designing a system where we can provide a good summary that reveals the video content and that saves the time of the user when searching for the particular video that they desire. Our system has also been designed to analyse the likes of videos. If the percentage of likes is below 30%, the system automatically deletes videos after 40 days. Due to this, the cloud server space will be optimally used. This is not provided on other video-sharing platforms. Registered users can also make sharing of various videos with other registered users without using the third-party platform.