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Learned Video Compression via Heterogeneous Deformable Compensation Network. (arXiv:2207.04589v2 [eess.IV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
Learned video compression has recently emerged as an essential research topic
in developing advanced video compression technologies, where motion
compensation is considered one of the most challenging issues. In this paper,
we propose a learned video compression framework via heterogeneous deformable
compensation strategy (HDCVC) to tackle the problems of unstable compression
performance caused by single-size deformable kernels in downsampled feature
domain. More specifically, instead of utilizing optical flow warping or
single-size-kernel deformable alignment, the proposed algorithm extracts
features from the …
arxiv compensation compression network video video compression