#Ffmpeg av1 encoding speed software
#Ffmpeg av1 encoding speed windows 7

#Ffmpeg av1 encoding speed windows 7

I tested FFmpeg version -git5d5a014199, downloaded from I performed all encoding tests on a 40-core HP Z840 workstation running Windows 7 on two Intel Xeon E5-2687W v3 CPUs running at 3.10 GHz with 32GB of RAM. For the record, I tested version 1.0.0 of SVT-AV1 as provided by a member of the Intel SVT-AV1 development team. Now that you’re familiar with SVT-AV1, let’s explore the encoding parameters that I used for my testing and the quality comparisons. As shown in Figure 1 from the aforementioned MSU report, SVT-HEVC was 51 percentage points behind x265, and SVT-VP9 was an astonishing 129 percentage points behind VP9, which made the 4% delta between SVT-AV1 and aomedia seem like a breakthrough.įigure 1. According to Moscow State University in 2020, early SVT performance wasn’t encouraging. So, a big part of what SVT attempts to do is split the picture to gain processing efficiency while retaining quality. Unfortunately using multiple slices hurts compression efficiency! The more slices are used the worse!” This allows easy multi-threading implementations in H.264 encoders and decoders. These parts are called ‘slices.’ The advantage of using multiple slices (per frame) is that the slices can be processed independently and in parallel. For example, Avidemux’s encoding guide says, “H.264 allows the encoder to segment each frame into several parts. This technique is counter to the view that encoding each frame in its entirety delivers the best quality. It is based on three-dimensional parallelism.” Most important of the three is segment-based parallelism, which “involves the splitting of each picture into segments and processing multiple segments of a picture in parallel to achieve better utilization of the computational resources with no loss in video quality.” According to a recent Intel white paper, “The SVT architecture is designed to maximize the performance of an SVT encoder on Intel Xeon Scalable processors. Let’s start with a brief introduction to what Scalable Video Technology (SVT) is and how it works. If you’re creating an AV1 encoding workflow today that emphasises encoding speed and quality, SVT-AV1 should definitely be on your short list. Its two-pass rate control is tested and proven. With the recent launch of version 1.0, SVT-AV1 appears to have caught up with libaom in quality, with very definite performance advantages. In a 2020 report, Moscow State University (MSU) found that SVT-AV1 was four percentage points behind libaom and 25 percentage points behind Aurora1. At the time, SVT-AV1 had several critical deficits, including a two-pass rate control that was incomplete.

to create AV1 encoder implementations that deliver excellent video compression across applications in ways that remove computational complexity trade-offs for an ever-growing video delivery marketplace.” Testing published around that time indicated that SVT-AV1 had quite a hill to climb to stand out among other AV1 codecs.įor example, in a comparison published a month later, I found SVT-AV1 to be last among the four AV1 codecs I tested (AOMedia’s libaom, Visionular’s Aurora1, aomenc, and SVT-AV1), although only about 3% less efficient than FFmpeg/libaom-AV1.

#Ffmpeg av1 encoding speed software

In August 2020, the Alliance for Open Media (AOMedia) developed a software working group to “use the Scalable Video Technology for AV1 (SVT-AV1) encoder developed by Intel.