In Magnetic Confinement Nuclear Fusion devices such as JET, the last years have witnessed a significant increase of the use of digital imagery, not only for the surveying and control of the experiments, but also for the physical interpretation of results. More than 25 cameras are routinely used for imaging on JET in the IR and visible spectral regions. These cameras can produce up to tens of Gbytes per shot and their information content can be very different, depending on the experimental conditions. However, the relevant information about the underlying physical processes is generally of much reduced dimensionality compared to the recorded data. The extraction of this information, which allows full exploitation of these diagnostics, is a challenging task. The image analysis consists, in most cases, of inverse problems which are typically mathematically ill posed. The typology of objects to be analysed is very wide and usually the images are affected by noise, saturation, low grey-level in-depth resolution, reshaping of moving objects, etc. Moreover, the plasma events have time constants of ms or tens of ms, which imposes tough conditions for real-time applications. On JET, in the last few years, new tools and methods have been developed for physical information retrieval. The methodology of optical flow has allowed, under certain assumptions, deriving information about the dynamic of video objects, associated with different physical phenomena such as instabilities, pellets, and filaments. The approach has been extended in order to approximate the optical flow within the MPEG compressed domain, allowing the manipulation of the large JET video databases and, in specific cases, even real-time data processing. The fast visible camera may provide new information potentially useful for disruption prediction. A set of methods, based on the extraction of structural information from the visual scene, have been developed for the automatic detection of MARFE (Multifaceted Asymmetric Radiation From the Edge) occurrence, which precede disruptions in density limit discharges. An original spot detection method has been developed for large surveys of videos in JET and for the assessment of the long term trends in their evolution. The analysis of JET IR videos, recorded during JET operation with the ILW (ITER­Like Wall), allows the retrieval of correlation of the evolution of spots properties with macroscopic events, in particular series of intentional disruptions.