Transformative technology and demonstrator for immersive and naturalistic video communication

沉浸式自然视频通信的变革性技术和演示

• 批准号: 10035113
• 金额: $ 15.94万
• 依托单位: POMMELHORSE LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10035113
• 关键词: Transformative; technology; demonstrator; immersive; naturalistic

It is well understood that when communicating with others, only 50% of the information we share lies in the words and our tone, and the rest in visual cues such as gaze, body language and our expressions. Video communication today falls significantly short in capturing and communicating these visual cues and hence typically falls short when considered as an alternative to meeting face-to-face, especially for more important and critical communications. This is often due to the non-real feeling of video communication, and poor perspective of view.The project involves research, exploration and development of a technology that enables significant improvements to the experience of video communication, by performing real-time manipulation of video streams, that helps capture and communicate these visual cues. The project aims to realise this in a mass market way and have a meaningful impact to all users of video communication. This enables the transition of more face-to-face interactions to digital ones, and in turn reduce the need for unnecessary travel, positively impacting global carbon reduction targets, and help more people achieve greater economic impact without having to co-locate in overpopulated cities. This will be a significant economic benefit to the UK and internationally.The majority of the project work focuses on deep technology and algorithmic development, pushing the state-of-the-art in machine learning based real-time signal processing.

众所周知，当我们与他人交流时，我们分享的信息中只有50%来自文字和语气，其余的来自视觉暗示，如凝视、肢体语言和我们的表情。如今，视频通信在捕捉和传达这些视觉线索方面明显不足，因此，当被视为面对面会议的替代方案时，尤其是对于更重要和关键的交流，视频通信通常是不足的。这通常是由于视频通信的非真实感和糟糕的视角。该项目涉及一种技术的研究、探索和开发，该技术通过执行视频流的实时操作来显著改善视频通信的体验，从而帮助捕获和传达这些视觉线索。该项目旨在以大众市场的方式实现这一点，并对所有视频通信用户产生有意义的影响。这使得更多的面对面互动能够过渡到数字互动，进而减少不必要的旅行需求，对全球碳减排目标产生积极影响，并帮助更多人实现更大的经济影响，而不必在人口稠密的城市合住。这将为英国和国际带来显著的经济效益。该项目的大部分工作集中在深度技术和算法开发上，推动了基于机器学习的实时信号处理的最先进水平。