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AlphaVC: High-Performance and Efficient Learned Video Compression. (arXiv:2207.14678v1 [cs.CV])
Aug. 1, 2022, 1:12 a.m. | Yibo Shi, Yunying Ge, Jing Wang, Jue Mao
cs.CV updates on arXiv.org arxiv.org
Recently, learned video compression has drawn lots of attention and show a
rapid development trend with promising results. However, the previous works
still suffer from some criticial issues and have a performance gap with
traditional compression standards in terms of widely used PSNR metric. In this
paper, we propose several techniques to effectively improve the performance.
First, to address the problem of accumulative error, we introduce a
conditional-I-frame as the first frame in the GoP, which stabilizes the
reconstructed quality …
More from arxiv.org / cs.CV updates on arXiv.org
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