Generative Media Playback With Hash-Based Ledger Storage
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Solution Overview
Problem
Existing media playback systems lack the ability to dynamically generate and modify content in real-time based on user inputs and environmental data, limiting the creation of unique and personalized audio experiences.
Innovation Solution
A media playback system utilizing generative media content that is synthesized through algorithms and contextual data, enabling dynamic modification of audio characteristics such as selection of audio samples, tempo, and spatial filtering based on user inputs, emotional states, and environmental conditions, with the use of non-fungible tokens (NFTs) for media content creation and storage on blockchain databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional media playback systems are used, then the system structure is simple and easy to operate, but the system cannot dynamically generate and modify content in real-time based on user inputs and environmental data
Solution Approach 1:
The system divides the media playback functionality into separate modules: a generative media module that creates content, a blockchain module that stores metadata and NFTs, and a playback module that outputs audio. This segmentation allows dynamic content generation while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces a blockchain database as an intermediary layer between content generation and playback. The blockchain stores metadata, NFTs, and cryptographic hashes that mediate between the generative media module and playback system, enabling dynamic content tracking without direct complex interactions between all system components.
2Adaptability or versatility
If generative media content with blockchain storage is implemented, then unique and personalized user experiences are enabled, but the device complexity and data storage requirements increase
Solution Approach 1:
The patent extracts only the essential metadata, NFTs, and cryptographic hashes to the blockchain storage, while the actual media content is stored separately in traditional media libraries. This extraction principle reduces blockchain data volume while maintaining the ability to track and manage generative media content uniquely.
Solution Approach 2:
The system creates cryptographic hash copies of media content for blockchain storage rather than storing the full media files. These hash copies serve as unique identifiers and integrity verification mechanisms without requiring substantial storage space, enabling personalized content tracking with minimal data overhead.
3Adaptability or versatility
If algorithms and contextual data are used for real-time media generation, then emotional engagement and user personalization are enhanced, but the processing time and computational resources increase
Solution Approach 1:
The system pre-generates media content variations using generative algorithms and stores them in the media library before user interaction. When a user requests playback, the system selects from pre-generated content rather than creating content in real-time, reducing latency while maintaining personalized experience capabilities.
Solution Approach 2:
The patent implements dynamic content selection where the playback system chooses from multiple pre-generated media variations based on real-time contextual data such as user emotional state, environmental conditions, and preferences. This dynamic selection approach provides real-time adaptability without the computational overhead of real-time content generation.
Data Source
AI summary
Generative media content (e.g., generative audio) can be dynamically generated based on various inputs, which can include blockchain data. A playback device accesses blockchain data stored via a distributed ledger and generates media content based at least in part on the blockchain data. The playback device can access a library of pre-existing media segments and arrange a selection of pre-existing media segments from the library for playback according to a generative media content model and based at least in part on the blockchain data. The generated media content can then be played back via the playback device.