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.
- 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.
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).
Validators ensure miners deliver consistent, high-quality results by evaluating performance through synthetic and organic queries for both upscaling and compression workflows.
Validators benchmark miner performance using controlled datasets:
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Upscaling: Downscale a high-resolution video to low-resolution, then miners upscale it back to high resolution.
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Compression: Provide high-quality videos for miners to compress while maintaining optimal quality-to-size ratios.
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Validators assess the processed outputs using metrics VMAF and PieAPP for quality evaluation.
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.
- Launch the subnet with AI-powered video upscaling and compression capabilities.
- Focus on real-time processing of videos for both quality enhancement and size optimization.
- Build AI models for adaptive bitrate streaming and intelligent compression.
- Optimize bandwidth usage while maintaining video quality across different use cases.
- Introduce AI-driven transcoding for compatibility across devices.
- Evaluate miners on speed, quality, and efficiency for all processing workflows.
- Enable decentralized on-demand video streaming with integrated storage.
- Utilize peer-to-peer (P2P) models for redundancy and high availability.
- Introduce live streaming with real-time AI-powered upscaling, compression, and transcoding.
- Integrate adaptive bitrate streaming for smooth playback.
- Develop a RESTful API for seamless integration with external platforms.
- Include features for uploading, processing, and retrieving videos with multiple processing options.
- VMAF: Video Multimethod Assessment Fusion
- Video2x: Vidio upscaling model
- TOPIQ: Top-down Image Quality Assessment
- LPIPS: Learned Perceptual Image Patch Similarity
- Bittensor Subnet: Decentralized AI Framework