A set of operator interfaces frequently used in artificial intelligence (AI) applications is defined in this standard, where the AI operators refer to the standard building blocks and primitives for performing basic AI operations. The functionality and the specific input and output operands of an AI operator are discussed, as well as both generality and efficiency. Various types of operators, such as those related to basic mathematics, neural network, and machine learning, are highlighted.
This document specifies the syntax and semantics of description schemes to represent data exchanged by media things (e.g., media sensors, media actuators, media analysers, media storages). Moreover, it specifies the APIs to exchange these data between media things. This document does not specify how sensing and analysing is carried out but defines the interfaces between the media things.
This standard describes specific methodologies to help users certify how they worked to address and eliminate issues of negative bias in the creation of their algorithms, where negative bias infers the usage of overly subjective or uniformed data sets or information known to be inconsistent with legislation concerning certain protected characteristics (such as race, gender, sexuality, etc); or with instances of bias against groups not necessarily protected explicitly by legislation, but otherwise diminishing stakeholder or user well being and for which there are good reasons to be considered inappropriate. Possible elements include (but are not limited to): benchmarking procedures and criteria for the selection of validation data sets for bias quality control; guidelines on establishing and communicating the application boundaries for which the algorithm has been designed and validated to guard against unintended consequences arising from out-of-bound application of algorithms; suggestions for user expectation management to mitigate bias due to incorrect interpretation of systems outputs by users (e.g. correlation vs. causation).
This document defines the framework and information reference model for representing sensor-based 3D mixed-reality worlds. It defines concepts, an information model, architecture, system functions, and how to integrate 3D virtual worlds and physical sensors in order to provide mixed-reality applications with physical sensor interfaces. It defines an exchange format necessary for transferring and storing data between physical sensor-based mixed-reality applications. This document specifies the following functionalities:a) representation of physical sensors in a 3D scene;b) definition of physical sensors in a 3D scene;c) representation of functionalities of each physical sensor in a 3D scene;d) representation of physical properties of each physical sensor in a 3D scene;e) management of physical sensors in a 3D scene; andf) interface with physical sensor information in a 3D scene.This document defines a reference model for physical sensor-based mixed-reality applications to represent and to exchange functions of physical sensors in 3D scenes. It does not define specific physical interfaces necessary for manipulating physical devices, but rather defines common functional interfaces that can be used interchangeably between applications. This document does not define how specific applications are implemented with specific physical sensor devices. It does not include computer generated sensor information using computer input/output devices such as a mouse or a keyboard. The sensors in this document represent physical sensor devices in the real world.
This document describes the glTF file format. glTF is an API-neutral runtime asset delivery format. glTF bridges the gap between 3D content creation tools and modern graphics applications by providing an efficient, extensible, interoperable format for the transmission and loading of 3D content.
The Extensible 3D (X3D) specification, ISO/IEC 19775, specifies a language-independent application programmer interface (API) to a set of services and functions. For integration into a programming language, the X3D abstract interfaces are embedded in a language dependent layer obeying the particular conventions of that language. ISO/IEC 19777-2:2006 specifies such a language-dependent layer for the Java programming language.
For integration into a programming language, the X3D abstract interfaces are embedded in a language-dependent layer obeying the particular conventions of that language. ISO/IEC 19777-1:2006 specifies such a language dependent layer for the ECMAScript language. ISO/IEC 19775-2 specifies a language-independent application programmer interface (API) to a set of services and functions.
This document defines the scope and key concepts of mixed and augmented reality, the relevant terms and their definitions and a generalized system architecture that together serve as a reference model for mixed and augmented reality (MAR) applications, components, systems, services and specifications. This architectural reference model establishes the set of required sub-modules and their minimum functions, the associated information content and the information models to be provided and/or supported by a compliant MAR system. The reference model is intended for use by current and future developers of MAR applications, components, systems, services or specifications to describe, compare, contrast and communicate their architectural design and implementation. The MAR reference model is designed to apply to MAR systems independent of specific algorithms, implementation methods, computational platforms, display systems and sensors or devices used. This document does not specify how a particular MAR application, component, system, service or specification is designed, developed or implemented. It does not specify the bindings of those designs and concepts to programming languages or the encoding of MAR information through any coding technique or interchange format. This document contains a list of representative system classes and use cases with respect to the reference model.
The present document provides an overview and an introduction to the interface specification for the reference points "AR 16 - World Anchors" and "AR 17 - Reference Objects" of the AR framework architecture, ETSI GS ARF 003 (V1.1.1): Augmented Reality Framework (ARF) AR framework architecture, developed by the ETSI Industry Specification Group (ISG) for an Augmented Reality Framework (ARF). The actual interface specification is provided as OpenAPI™ specification, ARF005 - World Storage API, revision 1.0.0, and forms the baseline for the present document.
The present document reviews the high level Reference Point requirements between the Scene Management and External Application Support functions as they are described in ETSI GS ARF 003 (V1.1.1): Augmented Reality Framework (ARF) AR framework architecture.
The present document specifies a functional reference architecture for AR components, systems and services. The structure of this architecture and the functionalities of its components have been derived from a collection of use cases, ETSI GR ARF 002 (V1.1.1): Augmented Reality Framework (ARF) Industrial use cases for AR applications and services, and an overview of the current landscape of AR standards, ETSI GR ARF 001 (V1.1.1): Augmented Reality Framework (ARF); AR standards landscape. The present document introduces the characteristics of an AR system and describes the functional building blocks of the AR reference architecture and their mutual relationships. The generic nature of the architecture is validated by mapping the workflow of several use cases to the components of this framework architecture.
Efficient coding tool sets for compression, decompression, and reconstructing of the immersive visual content data is provided. The target applications and services include, but are not limited to, virtual reality (VR), such as unmanned aerial vehicle-based VR, augmented reality, panorama video, free-view TV, panoramic stereo video, and other video-/audio-enabled services and applications, such as immersive video streaming, broadcasting, storage, and communication.