ITU

This recommendation describes the scenarios, general framework, and requirements for a real-time interactive multimedia service (RIMS) under poor network conditions. The RIMS system plays an important role in many scenarios and situations, e.g., emergency relief, remote education and emergency communication. The RIMS requires providing measures for adjustment of coding parameters, including video and audio coding parameters, dynamically, and it requires setting maximal priority of audio communication under low-speed network conditions and configuring usage priority attributes to ensure that high-priority uses have priority of service over low-priority uses.

Recommendation ITU-T Y.4470 establishes artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs), and provides the common characteristics and high-level requirements, reference architecture and relevant common capabilities of AISE. AISE is one of the basic supporting functional entities for SSCs, with which SSC services can use uniform reference points (exposed by AISE) to integrate and access the artificial intelligence (AI) capabilities of AI services (e.g., machine learning services for image recognition, natural language processing services and traffic prediction services). In addition, AISE can collect and open SSC data, and it supports AI services to train and supply AI capabilities in AISE in SSCs.

This recommendation specifies the framework and requirements for the construction of 3D intelligent driven digital human application system based on multimedia services. The scope of this Recommendation includes:(a) Overview of 3D intelligent driven digital human application system.(b) Framework of 3D intelligent driven digital human application system.(c) Requirements of 3D intelligent driven digital human application system.

Recommendation ITU-T F.748.14 specifies requirements and evaluation methods for non-interactive two-dimensional (2D) real-person digital human application systems, in terms of image, voice, movement, display, etc. It can be used to guide relevant parties to test, select or evaluate a non-interactive 2D real-person digital human application system. The evaluation methodology can reflect the current state of a non-interactive 2D real-person digital human application system by providing meaningful comparison dimensions.

Recommendation ITU-T F.748.15 specifies a framework for digital human application systems, and proposes corresponding subjective and objective metrics for the dimensions of image, speech, animation, interactive processing and multimodal input/output. This Recommendation can be used to guide relevant parties to test, select or evaluate a digital human application system. The metrics can reflect the current state of the digital human application system by providing meaningful comparison dimensions.

Media services by using digital human technology covers a wide range of application scenarios. Also, it involves a variety of key technologies, such as modeling, animation and rendering technologies. In order to meet high fidelity, real-time and high concurrency requirements for digital human services, this new work item is to propose new additional multimedia-based functional capabilities for cloud and edge computing platforms for various media services by using the existing digital human technology. This Recommendation describes typical use cases and specifies requirements for this platform including requirements for the multimedia processing, interaction and management function. And a user-eage-cloud media service platform based on requirements and existing technologies of cloud-edge computing and digital human for media service providers as a reference.

This recommendation describes the concept, use cases and requirements of communication services for digital human. The scope of this recommendation includes:(a) Use cases of the communication services for digital human,(b) Requirements on the user interface for those who are creating digital humans, and(c) Requirements on the digital human creation and utilization procedures.

Under the stimulation of the concept of the metaverse, digital human is accelerating from technological innovation to industrial application. However, in the actual project implementation, most enterprises do not have the ability to directly develop and maintain digital human, so they often encounter the problems of high technical threshold, complex installation and deployment, and high management and maintenance cost. Therefore, there is a strong demand for reducing the cost of using digital human and simplifying the construction and operation and maintenance of digital human. By providing the service of creating, managing and maintaining enterprise-level digital human applications, digital human platform can help users reduce the development and use costs, and become an important way of digital human development, deployment, operation and maintenance. However, there are many kinds of digital human platforms on the market, and their quality is uneven. From service support to code implementation, there are huge differences. Therefore, the functionality, compatibility, reliability, scalability, time response, and ease of use of the platform need to be strictly tested and verified before large-scale deployment to the production environment. In addition, at present, the standard of requirement and test method of digital human platform is still blank. The purpose of this Recommendation is to provide technical guidance and technical specification support for the research and development, selection and testing of digital human platform, to achieve a fair, just, scientific and objective evaluation of digital human platform, and to promote the progress of digital human technology products. This Recommendation provides the requirements and evaluation methods for the digital human platform from the aspects of function, compatibility, reliability, scalability, time response, and ease of use.

This draft Recommendation describes the general access interface framework, including interface module description, application scenarios etc. It defines unified access interface requirements of digital human services for the developers to integrate the capabilities of digital human into different applications.

This recommendation specifies requirements of 3D digital human system based on smart mobile devices from the dimensions of functional requirements, performance requirements and system requirements according to subjective and objective metrics. The evaluation methods of some unique requirements for 3D digital human and SMD application are also described. This recommendation applies to 3D digital human system based on smart mobile devices, including but not limited to smart phone assistants, e-commerce anchors, intelligent customer service, weather anchors, digital employees, etc.

Cloud virtual reality based on cloud capabilities, can effectively shield terminal differences, reduce the difficulty of application development, lower some specific industry entry barriers, and promote the industry business chain cooperation. This recommendation focuses on the overall requirements of cloud virtual reality systems and the related requirements of each layer including content requirements, network requirements, control requirements, resource requirements and terminal requirements, as well as the reference framework for related high-level functions. Cloud virtual reality based on cloud capabilities, can effectively shield terminal differences, reduce the difficulty of application development, lower some specific industry entry barriers, and promote the industry business chain cooperation. This recommendation focuses on the overall requirements of cloud virtual reality systems and the related requirements of each layer including content requirements, network requirements, control requirements, resource requirements and terminal requirements, as well as the reference framework for related high-level functions.

This recommendation identifies the functional requirements for the media processing services. In particular, the scope of this Recommendation includes functional requirements and application scenarios. Media processing services utilize a set of techniques including cloud computing, computing resource virtualization, and job queue processing to dynamically control and manage computing resources, which improves scalability, flexibility, and availability. This Recommendation specifies the functional requirements of general requirements, service provision requirements, service management requirements, security considerations, etc.