English(EN) Neural video codecs quality assessment dataset and benchmark

新数据集为神经视频编解码器质量评估设立基准

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员推出了一款新的数据集和基准，用于评估神经视频编解码器（NVCs）的质量。该数据集通过众包配对比较收集，解决了利用深度学习进行视频压缩的NVCs的压缩质量评估挑战。该资源旨在帮助开发和评估专门针对这些先进编解码器的视频质量指标。 AI

影响为开发和评估使用深度学习的先进视频压缩技术提供新资源。

排序理由该集群描述了一个用于评估神经视频编解码器的新数据集和基准，这是一项研究贡献。[lever_c_demoted from research: ic=1 ai=0.7]

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Newsworthiness bucket: Tool; 该集群描述了一个用于评估神经视频编解码器的新数据集和基准，这是一项研究贡献。[lever_c_demoted from research: ic=1 ai=0.7]
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arXiv cs.CV TIER_1 English(EN) · Nikolay Safonov, Nikita Gornostaev, Alexandra Dubonos, Dmitriy Vatolin · 2026-09-01 04:00

神经视频编解码器质量评估数据集和基准

arXiv:2608.29331v1 Announce Type: new Abstract: Video traffic constitutes a significant share of global web traffic. To reduce its volume, video codecs have been developed and continuously improved. While the industry has achieved substantial progress in traditional video coding,…