The proposed method operates in the wavelet domain and uses multi hypothesis motion estimation to perform temporal filtering.
In this paper, we use the same idea of using partially decoded picture, but it is further augmented with suspicious vector detection, new matching criteria for motion estimation, and motion vector filtering, resulting in much better improvements.
Since the purpose of DVC is to reduce computational complexity of the encoder, they should generate a predicted SI (PSI) with low delay, though an SI frame which is generated using several motion estimation algorithms and filters, for high quality of an SI on the decoder side.
Instead, we adopt optical flow for motion estimation and use temporal filter more heavily than spatial filter.
The stabilization algorithm analyzes the current and past video frames and obtains a motion estimation vector, which is then filtered to isolate unwanted camera movements from intentional panning.
Motion and blur: The fast or abrupt motion has been a great challenge for the traditional framework of particle filter, whose motion estimation parameters are usually continuous.
Secondly, we introduce a robust real-time 3D tracking method based on the Kalman filter for motion estimation and GNN for observation in order to track assignments.
Figure 31 presents relevant components of the system that incorporates Deblocking Filter besides motion estimation into motion compensation and then selects either the corresponding output or intraframe prediction for further processing.
Many works have been conducted to speed up some encoding processes as the coding unit partitioning [4], the motion estimation [5], the HEVC deblocking filter [6], and the intra prediction [7].
Then, the algorithm performs motion compensated filtering which uses motion estimation reliabilities from the motion estimation step.
