New video quality detection and evaluation algorithms for ultra-high-definition video content based on signal processing and machine learning

基于信号处理和机器学习的超高清视频内容新视频质量检测和评估算法

• 批准号: 521910-2017
• 负责人: Zhang, XiaoPing
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 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=640108
• 关键词: New; video; quality; detection; evaluation

SSIMWAVE is a high tech company that provides cutting-edge objective video quality assessment (VQA)products for broadcasters, streamers, and content creators by modeling and measuring viewer experience atevery stage of the digital video distribution system. We intend to develop a set of algorithms based on machinelearning including deep learning and signal processing technologies to evaluate ultra-high-definition (UHD) 4Kvideo content quality. The outcome will not only provide a practical tools to discriminate the 4K videocontents, but also potential provide a preliminary quality and experience evaluation of advantages of 4Kcontents over existing lower resolution video content.

SSIMWAVE是一家高科技公司，通过对数字视频分发系统每个阶段的观众体验进行建模和测量，为广播公司、流媒体公司和内容创作者提供尖端的客观视频质量评估（VQA）产品。我们打算开发一套基于机器学习的算法，包括深度学习和信号处理技术，以评估超高清（UHD）4K视频内容质量。该结果不仅提供了一个实用的工具来区分4K视频内容，而且还可能提供一个初步的质量和经验评估的优势，4K内容比现有的低分辨率视频内容。