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.
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.
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.
This document is the first of a family of standards. This document identifies the information required to determine the relationship between the position of a remotely sensed pixel in image coordinates and its geoposition. It supports exploitation of remotely sensed images. It defines the metadata to be distributed with the image to enable user determination of geographic position from the observations. This document specifies several ways in which information in support of geopositioning can be provided.a) It may be provided as a sensor description with the associated physical and geometric information necessary to rigorously construct a PSM. For the case where precise geoposition information is needed, this document identifies the mathematical equations for rigorously constructing PSMs that relate 2D image space to 3D ground space and the calculation of the associated propagated errors. This document provides detailed information for three types of passive electro-optical/ IR sensors (frame, pushbroom and whiskbroom) and for an active microwave sensing system SAR. It provides a framework by which these sensor models can be extended to other sensor types.b) It can be provided as a TRM, using functions whose coefficients are based on a PSM so that they provide information for precise geopositioning, including the calculation of errors, as precisely as the PSM they replace.c) It can be provided as a CM that provides a functional fitting based on observed relationships between the geopositions of a set of GCPs and their image coordinates.d) It can be provided as a set of GCPs that can be used to develop a CM or to refine a PSM or TRM.This document does not specify either how users derive geoposition data or the format or content of the data the users generate.
ISO/IEC 18023-2:2006 specifies the abstract syntax of a SEDRIS transmittal. Actual encodings (e.g. binary encoding) are specified in other parts of ISO/IEC 18023.
Coded representation of Low latency, low complexity LiDAR coding
This document specifies geometry-based point cloud compression.
This document specifies extensions to existing scene description formats in order to support MPEG media, in particular immersive media. MPEG media includes but is not limited to media encoded with MPEG codecs, media stored in MPEG containers, MPEG media and application formats as well as media provided through MPEG delivery mechanisms. Extensions include scene description format syntax and semantics and the processing model when using these extensions by a Presentation Engine. It also defines a Media Access Function (MAF) API for communication between the Presentation Engine and the Media Access Function for these extensions. While the extensions defined in this document can be applicable to other scene description formats, they are provided for ISO/IEC 12113.
This document specifies the method of motion capture animation using H-Anim humanoid models. Each humanoid model consists of an articulated character with specified joints and motion capture data. As specified in ISO/IEC 19774-1, each character consists of joints and segments in a hierarchical structure. This document includes the following:(1) Concepts of motion capture as related to humanoid animation,(2) Concepts of motion capture data definition,(3) Definition of motion parameters and motion-capture animation data for transferring or exchanging motion between different humanoid character models,(4) Mapping the structure of motion capture data to the structure of H-Anim objects,(5) HAnim motion capture animation using interpolators,(6) HAnim motion definition using H-Anim Motion objects, and(7) A method for generating and specifying an H-Anim motion capture animation.This document specifies a standard technique for exchanging humanoid animation using motion capture. It does not mandate using any specific run-time system to render the H-Anim characters or animations.