Real-time video quality analysis on mobile devices

Media capture of live events such as concerts can be improved by including user generated content. In this paper we propose methods for visual quality analysis on mobile devices, in order to provide direct feedback to the contributing user about the quality of the captured content and avoid wasting bandwidth and battery for uploading/streaming low-quality content. We focus on quality analysis that complements information we can obtain from other sensors. The proposed methods include real-time algorithms for sharpness, noise and over-/underexposure.