A dynamic model buffer for parametric motion vector prediction in random-access coding scenarios
Motion compensated inter prediction is a powerful tool used in modern hybrid video codecs to reduce the temporal redundancy of video sequences. However, the motion information needed for motion compensation is highly redundant as well. Thus, motion vector prediction and difference coding is a common method in modern video codecs. During the standardization of HEVC, new methods for motion prediction such as temporal motion vector prediction have been analyzed. This paper presents a method for motion vector prediction from perspective motion models in random access scenarios with hierarchical group of picture structures. To enable this kind of prediction a dynamic buffer system for generating, compressing and transmitting the underlying motion models is introduced. Bit rate reductions of up to 5% underline the performance of the complete system.