System Architecture

• 2.1. Hybrid Architecture: Genery operates on a hybrid model comprising an off-chain AI processing and indexing pipeline interfaced with on-chain access control and transaction logic on Solana.

• 2.2. AI Data Processing Pipeline:

  • Ingestion: High-throughput pipeline for acquiring and normalizing video assets.

  • Feature Extraction: Utilizes ensemble of deep learning models (CNNs, Transformers, potentially specialized networks) for dense feature vector extraction and categorical classification across multiple dimensions:

    • Cinematic Attributes (Lighting, Color Grading, Camera Motion Vectors, Shot Type)

    • Compositional Analysis (Spatial arrangement, Depth cues)

    • Perceptual & Affective Scoring (AI-derived emotional tone, aesthetic ranking)

    • Semantic Object & Scene Recognition (Contextualized)

    • Temporal Sequence Analysis (Edit pace, transition cues)

  • Metadata Structuring: Outputs structured, queryable metadata (e.g., JSON, Protobuf) incorporating vector embeddings, categorical tags, and scalar scores for each clip segment.

• 2.3. High-Performance Indexing: Employs specialized databases (e.g., vector databases for similarity search, inverted indices for attribute filtering) optimized for low-latency, complex multi-modal queries across the generated metadata.

• 2.4. Solana Integration Layer:

  • SPL Token Program: Governs the utility token lifecycle, transferability, and staking mechanisms.

  • Access Control Programs: Solana programs manage user entitlements based on token holdings or staking state, enabling granular, on-chain verification of data access permissions for different tiers.

  • API Gateway Authentication: Interfaces off-chain index queries with on-chain access control checks. Users authenticate via Solana wallet signatures; access requests are validated against token/staking state managed by Solana programs. Transactions for metered access are processed via Solana.

  • Metadata Proofs (Future State): Mechanism to anchor cryptographic proofs (e.g., Merkle roots of metadata sets or individual clip metadata hashes) on-chain to provide verifiable integrity assurances.

  • Decentralized Storage: Video assets are stored off-chain on decentralized storage networks (e.g., IPFS, Arweave), with Content Identifiers (CIDs) potentially linked within the on-chain metadata proofs or off-chain index records.