发帖
雷达卡
摘要翻译：
在过去的几年里，立体视频技术已经被引入消费市场。设计3D系统的一个关键因素是了解不同的视觉线索和失真是如何影响立体视频的感知质量的。评估3D视频质量的最终方法是通过主观测试。然而，主观评价耗时、昂贵，在某些情况下是不可能的。另一个解决方案是开发客观质量度量，试图对人类视觉系统(HVS)进行建模，以评估感知质量。虽然一些2D质量度量已经被提出用于静止图像和视频，但在3D的情况下，努力只是在初始阶段。在本文中，我们提出了一个新的三维内容的全参考质量度量。该方法通过融合左右视图的信息构造cyclopean视图，并考虑了HVS对对比度的敏感性和视图的差异来模拟HVS。此外，利用时间池策略来解决视频中质量的时间变化的影响。性能评估表明，我们的三维质量度量非常准确地量化了由几种代表性失真类型引起的质量退化，Pearson相关系数为90.8%，与最先进的三维质量度量相比具有竞争力。
---
英文标题：
《An Efficient Human Visual System Based Quality Metric for 3D Video》
---
作者：
Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, and Panos Nasiopoulos
---
最新提交年份：
2018
---
分类信息：
一级分类：Electrical Engineering and Systems Science 电气工程与系统科学
二级分类：Image and Video Processing 图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
--
---
英文摘要：
Stereoscopic video technologies have been introduced to the consumer market in the past few years. A key factor in designing a 3D system is to understand how different visual cues and distortions affect the perceptual quality of stereoscopic video. The ultimate way to assess 3D video quality is through subjective tests. However, subjective evaluation is time consuming, expensive, and in some cases not possible. The other solution is developing objective quality metrics, which attempt to model the Human Visual System (HVS) in order to assess perceptual quality. Although several 2D quality metrics have been proposed for still images and videos, in the case of 3D efforts are only at the initial stages. In this paper, we propose a new full-reference quality metric for 3D content. Our method mimics HVS by fusing information of both the left and right views to construct the cyclopean view, as well as taking to account the sensitivity of HVS to contrast and the disparity of the views. In addition, a temporal pooling strategy is utilized to address the effect of temporal variations of the quality in the video. Performance evaluations showed that our 3D quality metric quantifies quality degradation caused by several representative types of distortions very accurately, with Pearson correlation coefficient of 90.8 %, a competitive performance compared to the state-of-the-art 3D quality metrics.
---
PDF链接：
https://arxiv.org/pdf/1803.04832
京公网安备 11010802022788号
