English(EN) Neural Video Compression with Domain Transfer

新型神经视频压缩可适应域偏移

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-13 13:02

研究人员开发了一个名为DCVC-DT的新型神经视频压缩框架，旨在解决由训练数据和测试数据差异引起的性能下降问题。该系统包含一个轻量级的在线域迁移机制，可在推理过程中调整潜在表示，而无需更改编码器或解码器参数。此外，它还具有帧级动态比特率和失真调整功能，以提高性能。实验表明，与基线相比，DCVC-DT可节省高达6.21%的比特率，增强了泛化能力并减少了误差传播。 AI

影响这项研究可能带来更高效的视频压缩技术，降低流媒体和存储的带宽需求。

排序理由发布关于神经视频压缩的新学术论文。

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arXiv cs.CV TIER_1 English(EN) · Siwei Ma · 2026-05-13 13:02

域迁移的神经视频压缩

Content-adaptive compression has always been a key direction in neural video coding (NVC), aiming to mitigate the domain gap between training and testing data. Such gaps often arise from distributional discrepancies between training and inference data, which may cause noticeable …

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域迁移的神经视频压缩

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