The automatic construction of panoramic view for video is an active area of research in computer vision and it plays an important role in video surveillance, large aerial and satellite videos. More recent applications include scene stabilization, video indexing and increasing the field of view. In this paper a novel video stitching algorithm has been proposed. This algorithm is tested on three types of datasets. First dataset comprises of overlapping videos having identical lighting conditions. Second dataset consists of different lighting conditions. Third dataset consists of videos of various overlapping conditions. The proposed algorithm gives better results compared to the existing algorithms. It also is capable of handling different lightness conditions and time synchronization of input video sequences. However, under rotation and transformation the algorithm fails to produce a good panoramic view.

Keywords: Erasure decoding, Key Distribution,MDSCodes, Multicast.