A Parametric Merge Candidate for High Efficiency Video Coding

Block based motion compensated prediction still is the main technique used for temporal redundancy reduction in modern hybrid video codecs. However, the resulting motion vector fields are highly redundant as well. So, motion vector prediction and difference coding are used to compress such vector fields. A drawback of common motion vector prediction techniques is their inability to predict complex motion such as rotation and zoom in an efficient way. We present a novel Merge candidate for improving already existing vector prediction techniques based on higher order motion models to overcome this issue. To transmit the needed models, an efficient compression scheme is utilized. The improvement results in bit rate savings of 1.7% in average and up to 4% respectively.