<br>JPEG AI 标准：提供高效的人机视觉数据消费,IEEE Multimedia

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JPEG AI 标准：提供高效的人机视觉数据消费
IEEE Multimedia ( IF 2.3 ) Pub Date : 2023-05-11 , DOI: 10.1109/mmul.2023.3245919
João Ascenso ₁ , Elena Alshina ₂ , Touradj Ebrahimi ₃

Affiliation

联合摄影专家组 (JPEG) 基于人工智能学习的图像编码系统是国际标准化组织 (ISO)、国际电工委员会 (IEC) 和国际电信联盟 - 电信部门 (ITU-T) 之间正在进行的联合标准化工作，旨在开发第一个基于机器学习（人工智能的子集）的图像编码标准，提供单一流、紧凑的压缩域表示，针对人类可视化和机器消费。该即将推出的标准的主要动机是基于深度神经网络的工具在图像编码、计算机视觉和图像处理任务中的出色性能。 JPEG AI旨在开发一种图像编码标准，满足云存储、视觉监控、自动驾驶车辆和设备、图像采集存储和管理、视觉数据实时监控和媒体分发等广泛应用的需求。本文介绍并讨论了 JPEG AI 愿景背后的基本原理，特别是这一新的标准化计划如何通过相关的应用程序驱动用例来塑造图像编码的未来。还介绍了 JPEG AI 要求、JPEG AI 历史和现状，让您可以一睹第一个基于学习的图像编码标准的发展情况。

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The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

The Joint Photographic Experts Group (JPEG) AI learning-based image coding system is an ongoing joint standardization effort between International Organization for Standardization (ISO), International Electrotechnical Commission (IEC), and International Telecommunication Union - Telecommunication Sector (ITU-T) for the development of the first image coding standard based on machine learning (a subset of artificial intelligence), offering a single stream, compact compressed domain representation, targeting both human visualization and machine consumption. The main motivation for this upcoming standard is the excellent performance of tools based on deep neural networks, in image coding, computer vision, and image processing tasks. The JPEG AI aims to develop an image coding standard addressing the needs of a wide range of applications such as cloud storage, visual surveillance, autonomous vehicles and devices, image collection storage and management, live monitoring of visual data, and media distribution. This article presents and discusses the rationale behind the JPEG AI vision, notably how this new standardization initiative aims to shape the future of image coding, through relevant application-driven use cases. The JPEG AI requirements, the JPEG AI history, and current status are also presented, offering a glimpse of the development of the first learning-based image coding standard.

更新日期：2023-05-11

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