Among the selected papers, some are concerned with image analysis. In “Using automatic generation of Labanotation to protect folk dance,” Wang et al. present a motion-based method to automatically generate Labanotation. After some specific treatments, each movement is analyzed and the corresponding notation is selected. The proposed method has been evaluated and validated by an expert. In “Hyperspectral imaging as new technique for investigating the effect of consolidating materials on wood,” Bonifazi et al. present a comprehensive study of imaging techniques used for identifying wood finishes. The authors applied several finishes (epoxy resin, acrylic resin, linseed oil, etc.) to a set of wood samples that were then artificially aged. Using hyperspectral measurements, the paper first presents an analysis of the effect of the different finishes on the reflectance before and after aging. Then, a classification method able to distinguish between the finishes using hyperspectral data is described.