No-Reference Quality Assessment of Stereoscopic Video Based on Deep Frequency Perception

Shuai Xiao, Jiabao Wen, Jiachen Yang, Yan Zhou
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引用次数: 2

Abstract

The purpose of stereo video quality assessment (SVQA) is to easily and quickly measure the quality of stereo video, and strive to reach a consensus with human visual perception. Stereo video contains more perceptual information and involves more visual perception theory than 2D image/video,making SVQA more challenging. Aiming at the effect of distortion on the frequency domain characteristics of stereo video, a SVQA method based on frequency domain depth perception is proposed. Specifically, the frequency domain is utilized while minimizing the changes in the existing network structure to realize the in-depth exploration of the frequency domain characteristics without changing the original frame size of stereo video. Experiments are carried out on three public stereo video databases, namely NAMA3DS1-COSPAD1 database, WaterlooIVC 3D Video Phase I database, and QI-SVQA database. From the experimental results, it can be seen that the proposed method has good quality prediction ability, especially on asymmetric compressed stereo video databases.
基于深频感知的立体视频无参考质量评价
立体视频质量评估(SVQA)的目的是方便、快速地测量立体视频的质量,力求与人类视觉感知达成共识。与2D图像/视频相比,立体视频包含更多的感知信息,涉及更多的视觉感知理论,使得SVQA更具挑战性。针对失真对立体视频频域特性的影响,提出了一种基于频域深度感知的SVQA方法。具体来说,就是在尽量减少对现有网络结构变化的同时,利用频域,在不改变立体视频原有帧长的情况下,实现对频域特征的深入挖掘。实验在NAMA3DS1-COSPAD1、WaterlooIVC 3D video Phase I、QI-SVQA三个公共立体视频数据库上进行。实验结果表明,该方法具有较好的质量预测能力,特别是在非对称压缩立体视频数据库上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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