2 research outputs found
Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?
Given recent advances in learned video prediction, we investigate whether a
simple video codec using a pre-trained deep model for next frame prediction
based on previously encoded/decoded frames without sending any motion side
information can compete with standard video codecs based on block-motion
compensation. Frame differences given learned frame predictions are encoded by
a standard still-image (intra) codec. Experimental results show that the
rate-distortion performance of the simple codec with symmetric complexity is on
average better than that of x264 codec on 10 MPEG test videos, but does not yet
reach the level of x265 codec. This result demonstrates the power of learned
frame prediction (LFP), since unlike motion compensation, LFP does not use
information from the current picture. The implications of training with L1, L2,
or combined L2 and adversarial loss on prediction performance and compression
efficiency are analyzed.Comment: Accepted for publication in Springer Journal of Signal, Image and
Video Processin
BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation
Video interpolation increases the temporal resolution of a video sequence by
synthesizing intermediate frames between two consecutive frames. We propose a
novel deep-learning-based video interpolation algorithm based on bilateral
motion estimation. First, we develop the bilateral motion network with the
bilateral cost volume to estimate bilateral motions accurately. Then, we
approximate bi-directional motions to predict a different kind of bilateral
motions. We then warp the two input frames using the estimated bilateral
motions. Next, we develop the dynamic filter generation network to yield
dynamic blending filters. Finally, we combine the warped frames using the
dynamic blending filters to generate intermediate frames. Experimental results
show that the proposed algorithm outperforms the state-of-the-art video
interpolation algorithms on several benchmark datasets.Comment: Accepted to ECCV 202