AV1 Performance in Ultra-High-Speed Video Encoding

This article examines the performance profile of the AV1 video codec when encoding and storing ultra-high-speed camera recordings. High-speed imaging captures hundreds to thousands of frames per second, creating massive raw data footprints that severely strain storage and processing pipelines. Below, we break down how AV1 handles this data, focusing on compression efficiency, computational bottlenecks, motion estimation behavior, and current hardware capabilities.

Compression Efficiency and Data Footprint

Ultra-high-speed cameras generate immense data rates—often tens of gigabytes per second in uncompressed raw frames. AV1 provides significant advantages in storage reduction, delivering roughly 30% to 40% better compression efficiency than HEVC (H.265) and up to 50% over AVC (H.264) at equivalent objective quality metrics (such as VMAF and PSNR). For long-term archiving or cloud distribution of high-speed captures, AV1 dramatically lowers storage costs and bandwidth requirements without sacrificing critical visual data.

Temporal Redundancy and Motion Estimation

At capture rates ranging from 500 to 100,000+ frames per second (fps), motion between adjacent frames is exceptionally small. AV1 excels under these conditions due to its sophisticated inter-frame prediction tools:

• Sub-Pixel Interpolation: AV1 utilizes advanced 8-tap interpolation filters, allowing motion compensation engines to accurately model micro-movements.
• Warped Motion and Global Motion: These tools efficiently track affine transformations caused by high-speed camera panning or object deformation.
• Variable Block Partitioning: The codec dynamically partitions blocks from 128x128 down to 4x4, effectively isolating moving boundaries from static backgrounds.

Because inter-frame displacement is minimal, AV1 generates extremely small residual data, maximizing the compression benefits of P-frames and B-frames relative to standard 24–60 fps footage.

Encoding Complexity and Real-Time Limitations

AV1's primary drawback in high-speed workflows is computational complexity. Real-time encoding of ultra-high-speed streams using AV1 is not feasible:

• Software Encoders (SVT-AV1, libaom): Even on high-core-count workstation CPUs (such as AMD Threadripper or dual-socket Intel Xeon systems), high-efficiency AV1 encoding presets operate at fractions of real-time speed. While faster presets (presets 8–10 in SVT-AV1) can process standard frame rates quickly, they cannot ingest continuous thousands-of-frames-per-second streams directly from a sensor.
• Workflow Impact: Production workflows require high-speed footage to be written to fast intermediate memory (such as on-camera DDR buffers or enterprise NVMe arrays) before executing an offline, multi-threaded AV1 transcoding pass.

Hardware Acceleration Capabilities

Modern dedicated fixed-function hardware encoders—found in recent architectures like Intel Arc, Nvidia Ada Lovelace (NVENC), and AMD RDNA 3—support AV1 hardware encoding.

While these hardware units offload the host CPU and process video orders of magnitude faster than software, their throughput is capped (typically at 4K 60–120 fps or 8K 60 fps). As a result, processing footage recorded at 1,000 fps requires feeding the hardware encoder in a slowed playback configuration (e.g., replaying high-speed frames at 60 fps to encode an extended slow-motion output stream).

Decoding and Analytical Playback

While encoding demands substantial processing power, AV1's decoding profile is optimized for accessibility. Broad hardware decode support on modern client devices ensures that once ultra-high-speed footage is compressed into AV1, scientists, engineers, and analysts can scrub, review, and analyze the slow-motion playback smoothly at 4K and 8K resolutions without relying on specialized compute clusters.