Modeling and coding of DFD using dense motion fields in video compression

Abstract

We presents a method for encoding the displaced frame difference (DFD) that rounds out our continuing study on video compression using dense motion fields. The main idea of the DFD coding strategy is to utilize the more dense and thus accurate motion field to predict where the sparse but significant DFD energy is located. This leads to a more efficient DFD encoder compared to applying traditional still-image coding techniques. Furthermore, the dense motion field framework allows us to refine and tailor the motion estimation process such that the resulting DFD frame is easier to encode. Simulations demonstrate superior performance against standard block-based coders, with greater advantages for sequences with more complex motion.