VOXReality:结合语言和视觉AI模型的沉浸式XR体验

Apostolos Maniatis, S. Bourou, Zacharias Anastasakis, Kostantinos Psychogios
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引用次数: 0

摘要

近年来,由于机器学习(ML)和数据处理的进步以及大量数据的可用性,人工智能(AI)技术取得了显着增长。人工智能与虚拟现实(VR)和增强现实(AR)等扩展现实(XR)技术的集成可以创建创新的解决方案,并在包括教育、娱乐和医疗保健在内的各个领域提供直观的交互和沉浸式体验。本文描述了由欧盟委员会资助的XR空间创新语音驱动交互(VOXReality)*计划,该计划将基于语言和视觉的人工智能与单向或双向交换集成在一起,以驱动AR和VR,允许与XR系统进行自然的人类交互,并创建多模态XR体验。它将自然语言处理(NLP)和计算机视觉(CV)的并行进展结合起来,设计出新颖的模型和技术,将语言和视觉理解与XR结合起来,提供对目标、环境和上下文的整体理解。VOXReality计划通过XR个人助理、虚拟会议中的实时口头交流以及戏剧观众的沉浸式体验等三个用例来验证其富有远见的方法。*由欧盟资助(资助协议编号:101070521)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VOXReality: Immersive XR experiences combining language and vision AI models
In recent years, Artificial Intelligence (AI) technology has seen significant growth due to advancements in machine learning (ML) and data processing, as well as the availability of large amounts of data. The integration of AI with eXtended Reality (XR) technologies such as Virtual Reality (VR) and Augmented Reality (AR) can create innovative solutions and provide intuitive interactions and immersive experiences across various sectors, including education, entertainment and healthcare. The presented paper describes the innovative Voice-drive interaction in XR spaces (VOXReality)* initiative, funded by the European commission, that integrates language and vision-based AI with unidirectional or bidirectional exchanges to drive AR and VR, allowing for natural human interactions with XR systems and creating multi-modal XR experiences. It aligns Natural Language Processing (NLP) and Computer Vision (CV) parallel progress to design novel models and techniques that integrate language and visual understanding with XR, providing a holistic understanding of goals, environment, and context. VOXReality plans to validate its visionary approaches through three use cases such as a XR personal assistant, real-time verbal communication in virtual conferences, and immersive experience for the audience of theatrical plays.* Funded by European Union (Grant agreement ID: 101070521)
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