A Real Time Video Streaming Web Portal

Abstract

Content-based video extracting is very essential now-a-days. The existing data mining algorithms are not directly applied to videos. This proposed work uses different data mining algorithms for indexing, clustering, searching and retrieving content-based videos. A system will be developed in which only admin can upload videos on cloud server. Videos are sorted based on category and videos are automatically uploaded on Cloud Server on the schedule provided by the admin. Users can watch videos online, they can download videos based on video summary and users can rate videos that will be analyzed by the system. This system automatically removes videos that are less popular so that user’s time will not be wasted for watching the least rated videos. Users can share videos with other registered users without using another platform in the proposed system.