{"title":"版本[7.1]--[IV-PSNR：身临其境视频客观质量评估软件]","authors":"Jakub Stankowski, Adrian Dziembowski","doi":"10.1016/j.softx.2024.101961","DOIUrl":null,"url":null,"abstract":"<div><div>This paper describes a new version of the IV-PSNR software, developed for the effective objective quality assessment of immersive video. Version 7.1 includes the calculation of structural similarity between compared sequences using the IV-SSIM metric, designed to properly handle the unique characteristics of immersive video, as well as the classic SSIM and MS-SSIM metrics. Moreover, by introducing new modes, IV-PSNR 7.1 is adapted to assess the quality of novel approaches to multiview video processing, based on radiance fields and implicit neural visual representations. Currently, this version of the software is used by the ISO/IEC MPEG VC standardization group for the evaluation of the second edition of the MIV coding standard, and in works aimed at the development of a future standard for radiance field representation and compression.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101961"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Version [7.1] – [IV-PSNR: Software for immersive video objective quality evaluation]\",\"authors\":\"Jakub Stankowski, Adrian Dziembowski\",\"doi\":\"10.1016/j.softx.2024.101961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper describes a new version of the IV-PSNR software, developed for the effective objective quality assessment of immersive video. Version 7.1 includes the calculation of structural similarity between compared sequences using the IV-SSIM metric, designed to properly handle the unique characteristics of immersive video, as well as the classic SSIM and MS-SSIM metrics. Moreover, by introducing new modes, IV-PSNR 7.1 is adapted to assess the quality of novel approaches to multiview video processing, based on radiance fields and implicit neural visual representations. Currently, this version of the software is used by the ISO/IEC MPEG VC standardization group for the evaluation of the second edition of the MIV coding standard, and in works aimed at the development of a future standard for radiance field representation and compression.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"28 \",\"pages\":\"Article 101961\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711024003315\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024003315","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Version [7.1] – [IV-PSNR: Software for immersive video objective quality evaluation]
This paper describes a new version of the IV-PSNR software, developed for the effective objective quality assessment of immersive video. Version 7.1 includes the calculation of structural similarity between compared sequences using the IV-SSIM metric, designed to properly handle the unique characteristics of immersive video, as well as the classic SSIM and MS-SSIM metrics. Moreover, by introducing new modes, IV-PSNR 7.1 is adapted to assess the quality of novel approaches to multiview video processing, based on radiance fields and implicit neural visual representations. Currently, this version of the software is used by the ISO/IEC MPEG VC standardization group for the evaluation of the second edition of the MIV coding standard, and in works aimed at the development of a future standard for radiance field representation and compression.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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