This document defines the management and operations of the ISO geodetic register and identifies the data elements, in accordance with ISO 19111:2007 and the core schema within ISO 19135‑1:2015, required within the geodetic register.
ISO 19128:2005 specifies the behaviour of a service that produces spatially referenced maps dynamically from geographic information. It specifies operations to retrieve a description of the maps offered by a server, to retrieve a map, and to query a server about features displayed on a map. ISO 19128:2005 is applicable to pictorial renderings of maps in a graphical format; it is not applicable to retrieval of actual feature data or coverage data values.
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.
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.
This document is the first of a family of standards. ISO/TS 19159-1:2014 defines the calibration and validation of airborne and spaceborne remote sensing imagery sensors. The term _calibration_ refers to geometry, radiometry, and spectral, and includes the instrument calibration in a laboratory as well as in situ calibration methods. The validation methods address validation of the calibration information.