We study the compression of spatial and temporal features in fluid flow data using multimedia compression techniques. The efficacy of spatial compression techniques, including JPEG and JPEG2000 (JP2), and spatio-temporal video compression techniques, namely H.264, H.265, and AV1, in limiting the introduction of compression artifacts and preserving underlying flow physics are considered for laminar periodic wake around a cylinder, two-dimensional turbulence, and turbulent channel flow. These compression techniques significantly compress flow data while maintaining dominant flow features with negligible error. AV1 and H.265 compressions present the best performance across a variety of canonical flow regimes and outperform traditional techniques such as proper orthogonal decomposition in some cases. These image and video compression algorithms are flexible, scalable, and generalizable holding potential for a wide range of applications in fluid dynamics in the context of data storage and transfer.

翻译：我们利用多媒体压缩技术研究流体数据中空间和时间特征的压缩问题; 空间压缩技术的功效,包括JPEG和JPEG2000(JP2)以及时空视频压缩技术(即H.264、H.265和AV1)在限制采用压缩工艺和维护基本流物理方面的效力,被考虑用于环绕圆柱形、两维波动和动荡通道流体的定期休克; 这些压缩技术在保持主要流体特征的同时大量压缩流体数据,误差可忽略不计; AV1和H.265压缩是各种罐形流体流系统的最佳性能,在某些情况下超越了传统技术,例如适当的正向分解法,这些图像和视频压缩算法灵活、可缩放,在数据储存和传输过程中广泛应用流体动力的潜力是普遍的。