Vidaio's mission is to democratise video enhancement through decentralisation, artificial intelligence, and blockchain technology. Leveraging the Bittensor ecosystem, Vidaio provides creators, businesses, and developers with scalable, affordable, and high-quality video processing solutions including upscaling and compression, while ensuring full ownership and control over their content.
2. Subnet Architecture
2.1 Overview
Miners: Handle video processing tasks including upscaling and compression, optimizing models to ensure high-quality outputs.
Validators: Assess miner performance using predefined metrics to maintain network integrity across all video processing workflows.
2.2 Miners
Miners enhance video quality and optimize file sizes using AI-driven processing techniques. They can:
Optimise open-source models or develop proprietary ones for superior upscaling and compression results.
Handle video upscaling and compression requests from validators and end-users.
Process both upscaling tasks (enhancing video quality) and compression tasks (reducing file size while maintaining quality).
2.3 Validators
Validators ensure miners deliver consistent, high-quality results by evaluating performance through synthetic and organic queries for both upscaling and compression workflows.
2.4 Synapses
2.4.1 Synthetic Query
Validators benchmark miner performance using controlled datasets:
Upscaling: Downscale a high-resolution video to low-resolution, then miners upscale it back to high resolution.
Compression: Provide high-quality videos for miners to compress while maintaining optimal quality-to-size ratios.
Validators assess the processed outputs using metrics VMAF and PieAPP for quality evaluation.
2.4.2 Organic Query
Real-world video data uploaded by users is processed as follows:
Videos are chunked and queued for miners.
Miners process and apply upscaling or compression based on user requirements.
Results are aggregated and delivered back to users.
