Standard

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.

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 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.

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 document provides context, motivation, and use case descriptions for a set of MPEG standards that collectively deliver media directly to render-based applications such as game engines with a renderer component, or standalone renderers. Emerging examples where such applications are especially relevant include “metaverse” applications and immersive displays where such displays provide an interface to components (e.g., renderers) of existing game engines; e.g., Unreal Engine by Epic Games, Inc. and Unity by Unity Technologies. This document:

(1) describes the motivators leading to the development of new MPEG standards that facilitate the streaming of media to render-based applications;

(2) provides an overview of a media workflow from content production to content distribution;

(3) provides general information on relevant components of render-based systems including game engines, and renderers;

(4) differentiates between visual media distributed for video-based applications and visual media distributed to render-based applications;

(5) identifies key components and resources (compute, storage, or network) comprising a heterogeneous set of immersive displays and other render-based applications; and

(6) documents use cases for end-to-end interoperability, including Audio, Video, Graphics and Systems aspects for render-based systems and applications.

This document specifies the conformance and reference software implementing ISO/IEC 23093-3. The information provided is applicable for determining the reference software modules available for ISO/IEC 23093-3, understanding the functionality of the available reference software modules, and utilizing the available reference software modules. Furthermore, this document provides means for conformance testing, i.e. bitstreams - XML descriptions that conform or do not conform to ISO/IEC 23093-3.

This International Standard specifies the framework, concepts and methodology for testing and criteria to be achieved to claim conformance to the family of ISO geographic information standards. It provides a framework for specifying abstract test suites (ATS) and for defining the procedures to be followed during conformance testing. Conformance may be claimed for data or software products or services or by specifications including any profile or functional standard. Standardization of test methods and criteria for conformance to geographic information standards will allow verification of conformance to those standards. Verifiable conformance is important to geographic information users, in order to achieve data transfer and sharing.

ISO 19104:2016 specifies requirements for the collection, management and publication of terminology in the field of geographic information. The scope of this document includes:

- selection of concepts, harmonization of concepts and development of concept systems,

- structure and content of terminological entries,

- term selection,

- definition preparation,

- cultural and linguistic adaptation,

- layout and formatting requirements in rendered documents, and

- establishment and management of terminology registers.

ISO 19104:2016 is applicable to International Standards and Technical Specifications in the field of geographic information.

ISO 19103:2015 provides rules and guidelines for the use of a conceptual schema language within the context of geographic information. The chosen conceptual schema language is the Unified Modeling Language (UML). ISO 19103.2015 provides a profile of the Unified Modelling Language (UML). The standardization target type of this standard is UML schemas describing geographic information.

This standard specifies a reference architecture for Blockchain as a Service (BaaS) in the consortium blockchain. It defines the terms and definitions, reference architecture, basic functional requirements and non-functional requirements for BaaS in the consortium blockchain.

This document specifies an Internet of Things (IoT) reference architecture (IoT RA). The IoT RA is a generalization of existing practice including the distinguishing characteristics of IoT systems and other 195 fundamental characteristics exhibited by IoT systems. The IoT RA addresses stakeholder concerns related to 196 the business value of IoT systems. The IoT RA also addresses the interactions between the IoT system, the 197 users, and the physical environment. Implementation of IoT systems is also addressed in this IoT RA. Among 198 the characteristics specified in the IoT RA are abstract functions within IoT systems and a variety of structures 199 that are used to construct IoT systems.

This document provides guidance on the integration of IoT systems and digital twins in data spaces.