{"title":"基于深频感知的立体视频无参考质量评价","authors":"Shuai Xiao, Jiabao Wen, Jiachen Yang, Yan Zhou","doi":"10.1145/3552469.3555711","DOIUrl":null,"url":null,"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.","PeriodicalId":296389,"journal":{"name":"Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"No-Reference Quality Assessment of Stereoscopic Video Based on Deep Frequency Perception\",\"authors\":\"Shuai Xiao, Jiabao Wen, Jiachen Yang, Yan Zhou\",\"doi\":\"10.1145/3552469.3555711\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":296389,\"journal\":{\"name\":\"Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3552469.3555711\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3552469.3555711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
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。
No-Reference Quality Assessment of Stereoscopic Video Based on Deep Frequency Perception
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.
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