Automatic quality analysis on mobile devices
Quality analysis is crucial when user contributed media are used as sources for professional media production. Automatic algorithms can for example detect instability, over-/underexposure or blur of recorded video. Performing the analysis on the capture device saves bandwidth as it avoids transferring unusable content, and can also make use of other sensors of the device (e.g., to detect instability). The aim of this work is to assess the feasibility of running automatic quality analysis algorithms on state-of-the art mobile devices, taking power consumption issues account.
Basic image processing knowledge, experience in application development for mobile devices is usefull.