Live Event NFT Segmentation for Copyright-Safe User Investment
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Solution Overview
Problem
Existing systems fail to allow users to invest in and profit from significant moments in live events, as the original video recordings are owned by copyright holders, limiting user engagement and enjoyment.
Innovation Solution
A system that generates non-fungible tokens (NFTs) corresponding to potential segments of live events, allowing users to purchase or bid on these segments before they occur, with the NFTs increasing in value if the event becomes notable, enabling users to sell or trade for profit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video recordings of live events are owned by copyright holders, then the original video can be protected and controlled, but users cannot invest in or profit from significant moments in the events
Solution Approach 1:
The patent segments the live event video into discrete moments or clips that can be individually tokenized as NFTs. Each significant moment becomes a separate tradable asset, allowing users to invest in specific events rather than requiring full copyright ownership. This segmentation enables user investment while maintaining overall copyright protection through the blockchain-based token system.
Solution Approach 2:
The patent introduces NFTs as an intermediary layer between the copyright holder's video content and user investment desires. The NFT acts as a mediator that represents ownership or rights to specific video moments without requiring direct copyright transfer. This intermediary mechanism allows users to profit from significant moments while the copyright holder maintains control over the underlying video content.
2Adaptability or versatility
If users are allowed to purchase recordings of significant moments, then user engagement and enjoyment increase, but the system complexity increases due to NFT generation and management
Solution Approach 1:
The patent implements automated systems that monitor live events in real-time, automatically detect significant moments based on predefined criteria, and generate corresponding NFTs without manual intervention. This self-service approach reduces system complexity by eliminating the need for manual video review and NFT creation, allowing users to engage with the system through simple purchase transactions rather than complex management processes.
Solution Approach 2:
The patent establishes predefined rules and criteria before the live event begins for identifying significant moments. These preliminary configurations include setting thresholds for event detection, defining clip parameters, and pre-configuring NFT generation settings. By performing these actions in advance, the system reduces real-time complexity and enables seamless user engagement during the event.
3Adaptability or versatility
If NFTs are generated for all potential segments of live events, then users have more investment opportunities, but the quantity of NFTs to manage increases significantly
Solution Approach 1:
The patent applies different qualities or properties to different segments of the live event based on their significance. Instead of treating all moments equally, the system identifies and tokenizes only those moments that meet specific criteria for significance (e.g., goal scored, touchdown, record-breaking play). This local quality approach ensures users have investment opportunities in meaningful events while avoiding the creation of NFTs for every possible moment, thus managing the total quantity effectively.
Solution Approach 2:
The patent implements a selective approach where NFTs are generated for a partial set of significant moments rather than all possible segments. The system uses predefined thresholds and detection criteria to determine which moments warrant NFT creation. This partial action strategy provides users with sufficient investment opportunities in the most noteworthy events while keeping the total number of NFTs manageable through intelligent filtering and selection.
Data Source
AI summary
A method for generating a non-fungible token (NFT) that corresponds to one or more potential recordings of one or more segments of a live event. The method can include displaying one or more available NFTs to a user, each available NFT including a start marker and an end marker defining a segment of the live event. Prior to occurrence of the segment of the live event, a user selection of at least one available NFT of the one or more available NFTs is received and transmitted to a NFT generator. Upon an occurrence of the selected at least one available NFT, data is received confirming an association between an NFT and a recording of the segment defined by the selected at least one available NFT.