Performance Evaluation Process for video mosaic algorithms is developed on the basis of maximum information retrieval through closeness and residue between the original input images/ actual frames and the estimated images/frames from mosaic image. This evaluation method can be applicable to image as well as video mosaicing methods. Estimation of original input images/video frames and maximum information retrieval in terms of closeness/residue are the major steps involved in it. Without specific design of standard database, this method evaluates the mosaics in reference with the information in original input images/frames through a unique and single valued metric. Problems in case of mosaicing in complex condition like nonlinear vertical distortions and geometrical distortions in image and video capturing are discussed. Performance results are tested and compared with different mosaic images from different mosaic algorithms presented before.

Creating Mosaic-video is still a relatively new pursuit. It is also useful inside virtual reality environments, computer game settings, movie special effects and region of interest tracking. Immersive teleconferencing is another application that is being developed using mosaic-video. Many mosaic-video creation techniques are proposed by the researchers but most of them are based on the multiple cameras. We developed it with the use of single moving camera by incorporating simple and efficient steps. Initially a strip search algorithm is modified for mosaic creation with high sensitivity and linearity followed by video background extraction and then mosaic-video frames are created with merging the required dynamic motions from all the frames to mosaic backgrounds. This method handles major problem of non-redundant information retrieval and visualization along large view with respective to the video of tracking camera.