In this blog entry, we will evaluate the performance of TurboMetrics, a software which provides a GPU-accelerated implementation of SSIMULACRA2, and promises to save a lot of time in its computation.
SVT-AV1 v2.2.0 was released in late August and a minor version v2.2.1 followed suit to adress some bugs. This blog post will focus on comparing this new encoder version to the last, on the basis of benchmarks and visual comparisons. We will quantify the new trade-offs between compression efficiency and encoding speed, so you can choose the right balance for your projects. Our metrics of choice today will be SSIMULACRA2 and XPSNR, used in conjonction with a revised methodology.
SVT-AV1, the most scalable AV1 encoder, has received a new update and one may wonder if the old presets recommendation still holds today. We will delve into that in this blog post, based on a series of speed and visual quality benchmarks with SSIMULACRA2 and XPSNR of SVT-AV1 2.1.0 on a corpus of varied animated clips.
This blog post is based on a series of visual quality benchmarks with SSIMULACRA2 and speed benchmarks of SVT-AV1 1.8.0 on a corpus of animated clips.
The resources available will range from graphs to image comparisons (WIP). The former has the advantage of being easily understandable, showcasing pure efficiency comparisons between encoder parameters using metrics as the reference, while the latter are image samples from the encoded files during the tests that enable you to check quality for yourself and add another layer of subjective interpretation to these comparisons.