18486666. METHOD AND APPARATUS FOR PROVIDING AI/ML MEDIA SERVICES simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 METHOD AND APPARATUS FOR PROVIDING AI/ML MEDIA SERVICES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR PROVIDING AI/ML MEDIA SERVICES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND APPARATUS FOR PROVIDING AI/ML MEDIA SERVICES
Organization Name
Inventor(s)
Hyunkoo Yang of Gyeonggi-do (KR)
METHOD AND APPARATUS FOR PROVIDING AI/ML MEDIA SERVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18486666 titled 'METHOD AND APPARATUS FOR PROVIDING AI/ML MEDIA SERVICES
Simplified Explanation
The disclosure pertains to a communication system for 5G or 6G networks that supports higher data transmission rates. The system involves receiving a session description protocol (SDP) offer from a media resource function (MRF) entity, which includes a list of artificial intelligence (AI) models. At least one AI model is identified from the list to output results using media data, based on the type of data and the media service being used. An SDP response is then sent back to the MRF entity, requesting the AI model for processing the media data.
- AI models are used to process media data in a communication system for 5G or 6G networks.
- The system involves receiving an SDP offer with a list of AI models from a MRF entity.
- At least one AI model is selected based on the type of media data and media service.
- An SDP response is transmitted back to the MRF entity to request the selected AI model for processing the media data.
Potential Applications
The technology can be applied in various industries such as telecommunications, media streaming, and data analytics.
Problems Solved
This technology addresses the need for efficient processing of media data in high-speed communication networks.
Benefits
The use of AI models enhances the processing capabilities of the communication system, leading to improved data transmission rates and overall performance.
Potential Commercial Applications
Potential commercial applications include AI-powered communication systems for 5G and 6G networks, media streaming platforms, and data analytics services.
Possible Prior Art
Prior art may include existing communication systems that utilize AI for data processing, as well as technologies related to session description protocols in networking.
Unanswered Questions
== How does the system ensure the security and privacy of the processed media data? The abstract does not provide details on the security measures implemented to protect the privacy of the processed media data. It would be important to understand how the system addresses potential security risks and ensures data confidentiality.
== What are the specific technical requirements for implementing this communication system in a real-world network environment? The abstract does not mention the technical specifications or requirements needed to deploy this communication system in practical network settings. Understanding the infrastructure and compatibility aspects would be crucial for potential adopters of the technology.
Original Abstract Submitted
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Methods and apparatuses in provided in which a session description protocol (SDP) offer including a list of artificial intelligence (AI) models is received from a media resource function (MRF) entity. At least one AI model is identified from the list for outputting at least one result using first media data, based on a type of the first media data and a media service in which the at least one result is used. An SDP response is transmitted to the MRF entity, requesting the at least one AI model as a response to the SDP offer, and the first media data is processed based on the at least one AI model received from the MRF entity.
