Homogeneous Motion Discovery Oriented Reference Frame for High Efficiency Video Coding

Traditional video coding uses the motion model to approximate geometric boundaries of moving objects where motion discontinuities occur. Motion hints based inter-frame prediction paradigm moves away from this redundant approach and employs an innovative framework consisting of motion hint fields that are continuous and invertible, at least, over their respective domains. However, estimation of motion hint is computationally demanding, in particular for high resolution video sequences. In this paper, we propose to discover motion models and their associated masks over the current frame and then use these models and masks to form a prediction of the current frame. The prediction process is computationally simpler and experimental results show that a savings in bit rate of 2.3% is achievable over standalone HEVC if this predicted frame is used as an additional reference frame.