1. Introduction

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 upscaling solutions, while ensuring full ownership and control over their content.

2. Subnet Architecture

2.1 Overview

Miners: Handle video upscaling tasks and optimise models to ensure high-quality outputs.
Validators: Assess miner performance using predefined metrics to maintain network integrity.

2.2 Miners

Miners enhance video quality using AI-driven upscaling techniques. They can:

Optimise open-source models or develop proprietary ones for superior results.
Handle video upscaling requests from validators and end-users.

2.3 Validators

Validators ensure miners deliver consistent, high-quality results by evaluating performance through synthetic and organic queries.

2.4 Synapses

2.4.1 Synthetic Query

Validators benchmark miner performance using controlled datasets:

Downscale a high-resolution video to low-resolution.
Miners upscale the low-resolution video back to high.
Validators assess the upscaled output using metrics VMAF and PieAPP.

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 upscale the chunks.
Results are aggregated and delivered back to users.

2.5 Incentive mechanism

Incetive Mechanism Guide

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