Cloud-Based Traveling Video Editing System

摘要

As the development of media and network, more and more social media services are published in recent years. In this paper, we present a system based on cloud computing. Feature points searching algorithm and image-based rendering are used to generate a meaningful video. We will use feature points to identify the key frames from users' photos database. The Google map API is also utilized to generate the traveling trajection by the GPS information form photos. A set of metadata is employed to make the generating video much colorful and accurate. Finally, we propose image-based rendering based on cloud computing to combine the key frames and videos into a new videos.