Motion energy image for evaluation of video stabilization

Large volumes of video content have been generated through the development of compact and portable cameras. Examples of applications that have been benefited from such growth of multimedia data include business conferencing, telemedicine, surveillance and security, entertainment, distance learning and robotics. Video stabilization is the process of detecting and removing undesired motion or instabilities from a video stream caused during the acquisition stage when handling the camera. In this work, we introduce and analyze a novel visual representation based on motion energy image for qualitative evaluation of video stabilization approaches. Experiments conducted on different video sequences are performed to demonstrate the effectiveness of the visual representation as qualitative measure for evaluating video stability.