Mobile panoramic video maps over MEC networks

One of the most recent advances in navigation systems is incorporating panoramic views. In this paper, we propose a mobile-edge computing (MEC) network architecture for presenting mobile end users with panoramic videos of the trip between two selected map locations with an improved quality of service compared to traditional networks. Our panoramic videos comprise of crowd-sourced recordings of various locations for cost reduction or centrally collected videos for more uniform quality. To synthesise quality panoramic videos of the path, we propose integrating video quality assessment, speed-adaptive frame-rates adjustment, and video segment merging based on the Dijkstra algorithm. We also consider other attributes such as the time and spatial coordinates at which the videos are captured, the overlap of spatial coverage, and the prediction of optimal base station for panoramic video delivery. We utilise a MEC architecture because our application requires a network with high-bandwidth and low-latency, which calls for the integration of technologies at the edge of the network. Part of our algorithm and our video database are replicated and migrated to the edge of mobile networks allowing us to use base stations as more than mere mobile access points.