II-New: High-Definition and Immersive Acquisition, Processing, and Display Equipment for Video Processing and Vision Science Research and Education

将开发新的、最先进的视频质量评估(VQA)算法，这些算法明确地设计用于高清晰度(HD)视频流。这些设计将使用感知标准，并考虑到头部和眼睛位置等人为因素。将开发一个开放的原始数字高清视频数据库，以及每个视频的多个失真版本和人类对失真视频的主观评分。由于高清视频通常会被调整大小以在较小的屏幕上显示，因此还将开发可伸缩的VQA和IQA算法，这些算法将首次能够以一种感知上重要的方式评估图像或视频的质量，这些图像或视频的大小已从其原始尺寸进行缩放或调整。成功的高清视频质量评估(VQA)算法的开发与视觉感知高度相关，将代表着视频工程的重大进步。高清视频质量数据库的建设将是此类数据库中的第一个，而且肯定会被世界各地的研究人员大量访问。在过去的20年里，这个小组在非高清VQA方面所做的工作导致了图像处理领域中一些被引用最多的研究。预计这项工作的出版物也将产生很大的影响。设备和开发的算法也将被用作德克萨斯大学奥斯汀图像和视频处理教育计划的范例。该设备将用于生成大量的视频处理教学示例。

New, state-of-the-art video quality assessment (VQA) algorithms will be developed that are explicitly designed for use on High Definition (HD) video streams. These will be designed using perceptual criteria and taking into account such human factors as head and eye position. An open database of raw digital HD videos will be developed, along with multiple distorted versions of each video and human subjective scores on the distorted videos. Since HD videos are often resized for display on smaller screen, scalable VQA and IQA algorithms will also be developed that will for the first time, be able to assess the quality of images or videos, in a perceptually significant way that have been scaled or resized from their original dimensions. The development of successful HD Video Quality Assessment (VQA) algorithms that correlate highly with visual perception will represent a major advance in video engineering. The construction of an HD video quality database will be the first of is kind, and certainly heavily accessed by researchers around the world. Prior work by this group on non-HD VQA has resulted in some of the most-highly cited research in the image processing field in the past 20 years. It is anticipated that publications from this work will likewise be highly influential.The equipment and developed algorithms will also be used as exemplars in the UT-Austin image and video processing educational program. The equipment will be used to generate numerous video processing teaching examples.