Novel video coding, transcoding and multicoding technologies applied to H.264 and HEVC

适用于 H.264 和 HEVC 的新颖视频编码、转码和多编码技术

• 批准号: 428942-2011
• 负责人: Coulombe, Stéphane
• 金额: $ 9.81万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=573953
• 关键词: Novel; video; coding; transcoding; multicoding

Within the next few years, a convergence of wireless and wired audio-visual services is expected, and, at the same time, phenomenal growth in the number of mobile video and IPTV users. These services will represent an important source of revenue for their operators and providers, and video coding and transcoding will play a key role in these and other services to enable them to function with heterogeneous terminals and networks. However, the growing popularity of video is putting heavy and growing pressure on our information technology (IT) infrastructures, in terms of computational complexity, bandwidth and storage requirements. This project will address these problems by investigating novel technologies applied to H.264 and HEVC in two video research areas. In the first research area, we will work towards improving the visual quality of videos: perceptual distortion rate optimization methods based on novel low-complexity high-accuracy visual quality metrics, near-optimal frame level video coding parameter estimation using machine learning, and a rate control algorithm (based on recent distortion models) giving consistent frame-to-frame quality. In the second area, we will work towards reducing the computational complexity of video coding and transcoding operations: efficient video transcoding exploiting the source's motion vectors, coding modes and residual information for H.264 to HEVC transcoding, novel multi-stream video encoder/transcoder based on motion fields and rate-distortion (R-D) models, and HEVC encoding on massively parallel processors. Solving these problems will contribute to a smooth and cost-effective deployment of next generation video applications and services. This is very important to the Canadian telecommunications industry (especially mobile operators and IPTV service providers, such as cable operators) and crucial to the success of their next generation multimedia applications and services. Finally, it will contribute to strengthening the technological leadership in the transcoding field of Vantrix, a Canadian company and world leader in video optimization and delivery solutions.

在接下来的几年中，预计无线和有线音频服务的融合将会汇聚，同时，移动视频和IPTV用户的数量增长了惊人的增长。这些服务将代表其运营商和提供商的重要收入来源，视频编码和转编码将在这些和其他服务中发挥关键作用，使它们能够通过异质终端和网络运作。但是，视频的日益普及是在计算复杂性，带宽和存储要求方面对我们的信息技术（IT）基础架构施加巨大的压力。该项目将通过调查在两个视频研究领域中应用于H.264和HEVC的新技术来解决这些问题。在第一个研究领域，我们将努力改善视频的视觉质量：基于新型的低复杂性高清视觉质量指标，近乎最佳的框架级别的视频编码参数使用机器学习以及速率控制算法算法（基于最近的失真模型）提供一致的框架帧质量一致。在第二个领域，我们将致力于降低视频编码和编码操作的计算复杂性：有效的视频跨编码来利用源的运动矢量，编码模式和H.264的剩余信息，以转换为HEVC转码，新型多流程的视频编码器/基于运动字段和速率的新型视频编码器和速率 - 群体和速度级别的模型（r-dist）模型（r-dist）模型（R）。解决这些问题将有助于下一代视频应用程序和服务的平稳且具有成本效益的部署。 这对于加拿大电信行业（尤其是移动运营商和IPTV服务提供商，例如有线电视运营商）非常重要，对于下一代多媒体应用程序和服务的成功至关重要。最后，它将有助于加强加拿大公司兼视频优化和交付解决方案的世界领导者Vantrix的跨编码领域的技术领导。