This paper presents a framework for mosaicing high resolution skin video sequences in the context of teleder-matology. While considering different stages of the mosaicing pipeline, including stitching and blending, several feature- and intensity-based image registration approaches are compared. Their performances in terms of quantitative and qualitative results are discussed so as to move towards the selection of the most suited approach. Although the intensity based approach proved to be more precise over short displacements, the feature based approach is advantageous in terms of computation time apart from being more reliable over large displacements, thus permitting a faster mosaic construction by skipping over some frames in the sequence.