相机原生立体VR180数据集
A Camera-Native Stereo VR180 Dataset
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中文总结 AI 辅助
该研究针对现有公开VR180数据集的缺陷，发布了由Blackmagic URSA Cine Immersive相机采集的原生立体VR180数据集，通过实验对比得出原生鱼眼编码码率更高的结论，提供了相关工具与标注。
中文摘要 AI 辅助
沉浸式VR180视频越来越多地由专业立体鱼眼相机生成，但公开的VR180研究资源大多来自YouTube等在线平台：这些资源已通过未知的流程进行拼接、投影和压缩，且缺少镜头校准信息。我们提出了一个使用两台Blackmagic URSA Cine Immersive相机现场采集的立体VR180数据集，它包含1211个样本——636个立体视频片段（总时长2220.8秒，大多为90fps）和575张立体静态图像，每个样本以相机原生的Blackmagic RAW、分眼原生鱼眼HEVC（每眼8160×7200）和半等距柱状投影HEVC（每眼7200×7200）格式发布，同时附带工厂镜头校准参数、便携鱼眼/半等距柱状投影转换工具以及AI生成的场景和视觉挑战标注。我们对24个片段的双眼、四个码率点和九个观看方向，使用x265重新编码发布的鱼眼和半等距柱状投影渲染结果，发现对于所有24个片段，在相同视口质量下，原生鱼眼编码所需的码率比半等距柱状投影编码更高，视场的每个部分的中位数高出38%。数据链接：this https URL；代码链接：this https URL
英文摘要
Immersive VR180 video is increasingly produced with professional stereo fisheye cameras, yet public VR180 research resources are mostly collected from online platforms such as YouTube: already stitched, projected and compressed by unknown pipelines, and without lens calibration. We present a firsthand-captured stereo VR180 dataset recorded with two Blackmagic URSA Cine Immersive cameras. It contains 1,211 samples -- 636 stereo video clips (2,220.8 s, mostly 90 fps) and 575 stereo stills -- each released as camera-native Blackmagic RAW, separate-eye native fisheye HEVC (8160x7200 per eye) and half-equirectangular HEVC (7200x7200 per eye), together with the factory lens calibration, portable fisheye/half-equirectangular conversion tools and AI-generated scene and visual-challenge annotations. Re-encoding the released fisheye and half-equirectangular renders with x265 over 24 clips, both eyes, four rate points and nine viewing directions, native-fisheye coding needed more bitrate than half-equirectangular coding at equal viewport quality for all 24 clips (median +38%), in every part of the field of view. Data: https://huggingface.co/datasets/lulinxuan/VR180 ; code: https://github.com/lulinxuan/vr180-dataset-tools
