Checksum-aided video error correction for real-time, streaming and broadcast video applications

适用于实时、流媒体和广播视频应用的校验和辅助视频纠错

• 批准号: RGPIN-2017-05412
• 负责人: Coulombe, Stéphane
• 金额: $ 2.4万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637696
• 关键词: Checksum; aided; video; error; correction

In the recent years, we have witnessed an impressively rapid deployment of video devices, applications and systems, and the growth of video will only intensify in the coming years with emerging technologies such as 4K/8K Ultra HD formats, video devices for remote monitoring and control of machinery, transport and healthcare, virtual and augmented reality, and other devices resulting from the emerging Internet of Things. However, transmission errors over unreliable networks (e.g. wireless and satellite) cause significant visual impairments or dramatically reduce the effectiveness of networks (e.g. by causing retransmissions). Such errors significantly degrade the user’s quality of experience (QoE) in most real-time and near real-time video applications.

近年来，我们见证了视频设备、应用程序和系统的快速部署，视频的增长在未来几年只会随着新兴技术的出现而加剧，如4K/8 K超高清格式、用于远程监控和控制机械、交通和医疗保健的视频设备、虚拟和增强现实以及新兴物联网产生的其他设备。然而，在不可靠的网络（例如无线和卫星）上的传输错误导致显著的视觉损害或显著地降低网络的有效性（例如通过引起重传）。在大多数实时和近实时视频应用中，这样的错误显著降低了用户的体验质量（QoE）。