Abstract
Some digital rights management systems can employ static, user-based licenses that may not fully account for dynamic viewing environments, such as the number of viewers present. An edge computed system can operate locally on a client device, for example, a smartphone, a smart television, or a wearable device. The system may utilize a generative perception engine to analyze multi-modal sensor data, which can generate an anonymized textual description of the viewing scene and perform liveness detection. A dynamic smart contract engine can then synthesize a machine-readable session license based on this real-time contextual information. An autonomous agentic settlement system may then enable software agents on nearby devices to negotiate and contribute digital assets to fulfill the license terms, potentially triggering content decryption. This architecture can allow digital licenses to dynamically align with media consumption contexts and can be configured to operate without transmitting raw sensor data.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kumar, Nikhil, "Edge-Computed Dynamic Licensing Using Generative Perception and Agentic Resource Settlement", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10102