{"id":314,"date":"2021-04-06T07:27:51","date_gmt":"2021-04-06T07:27:51","guid":{"rendered":"https:\/\/vinuni.edu.vn\/research\/?p=314"},"modified":"2022-09-05T07:28:46","modified_gmt":"2022-09-05T07:28:46","slug":"a-weighted-viewport-quality-metric-for-omnidirectional-images","status":"publish","type":"post","link":"https:\/\/vinuni.edu.vn\/research\/a-weighted-viewport-quality-metric-for-omnidirectional-images\/","title":{"rendered":"A Weighted Viewport Quality Metric for Omnidirectional Images"},"content":{"rendered":"<p>Abstract<\/p>\n<p>Thanks to the ability to bring immersive experiences to users, Virtual Reality (VR) technologies have been gaining popularity in recent years. A key component in VR systems is omnidirectional content, which can provide 360-degree views of scenes. However, at a given time, only a portion of the full omnidirectional content, called viewport, is displayed corresponding to the user\u2019s current viewing direction. In this work, we first develop Weighted-Viewport PSNR (W-VPSNR), an objective quality metric for quality assessment of omnidirectional content. The proposed metric takes into account the foveation feature of the human visual system. Then, we build a subjective database consisting of 72 stimuli with spatial varying viewport quality. By using this database, an evaluation of the proposed metric and four conventional metrics is conducted. Experiment results show that the W-VPSNR metric well correlates with the mean opinion scores (MOS) and outperforms the conventional metrics. Also, it is found that the conventional metrics do not perform well for omnidirectional content.<\/p>\n<p>Authors: Pham Ngoc N. and other authors<\/p>\n<p>Read more about the article\u00a0<a href=\"https:\/\/search.ieice.org\/bin\/summary.php?id=e103-d_1_67\">here<\/a><\/p>\n<p>Read more about the author\u2019s publications\u00a0<a href=\"https:\/\/vinuni.edu.vn\/people\/pham-ngoc-nam\/\">here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract Thanks to the ability to bring immersive experiences to users, Virtual Reality (VR) technologies have been gaining popularity in recent years. A key component in VR systems is omnidirectional content, which can provide 360-degree views of scenes. However, at a given time, only a portion of the full omnidirectional content, called viewport, is displayed [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":315,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[37],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.6.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A Weighted Viewport Quality Metric for Omnidirectional Images - Vinuni Research Website<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/vinuni.edu.vn\/research\/a-weighted-viewport-quality-metric-for-omnidirectional-images\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Weighted Viewport Quality Metric for Omnidirectional Images - Vinuni Research Website\" \/>\n<meta property=\"og:description\" content=\"Abstract Thanks to the ability to bring immersive experiences to users, Virtual Reality (VR) technologies have been gaining popularity in recent years. A key component in VR systems is omnidirectional content, which can provide 360-degree views of scenes. However, at a given time, only a portion of the full omnidirectional content, called viewport, is displayed [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/vinuni.edu.vn\/research\/a-weighted-viewport-quality-metric-for-omnidirectional-images\/\" \/>\n<meta property=\"og:site_name\" content=\"Vinuni Research Website\" \/>\n<meta property=\"article:published_time\" content=\"2021-04-06T07:27:51+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-09-05T07:28:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/vinuni.edu.vn\/research\/wp-content\/uploads\/2022\/09\/anh-9-e1617707007777.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"612\" \/>\n\t<meta property=\"og:image:height\" content=\"380\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"phuong.ntn\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"phuong.ntn\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/vinuni.edu.vn\/research\/a-weighted-viewport-quality-metric-for-omnidirectional-images\/\",\"url\":\"https:\/\/vinuni.edu.vn\/research\/a-weighted-viewport-quality-metric-for-omnidirectional-images\/\",\"name\":\"A Weighted Viewport Quality Metric for Omnidirectional Images - Vinuni Research Website\",\"isPartOf\":{\"@id\":\"https:\/\/vinuni.edu.vn\/research\/#website\"},\"datePublished\":\"2021-04-06T07:27:51+00:00\",\"dateModified\":\"2022-09-05T07:28:46+00:00\",\"author\":{\"@id\":\"https:\/\/vinuni.edu.vn\/research\/#\/schema\/person\/d19200a9f0488a2d6374d8641ee8c085\"},\"breadcrumb\":{\"@id\":\"https:\/\/vinuni.edu.vn\/research\/a-weighted-viewport-quality-metric-for-omnidirectional-images\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/vinuni.edu.vn\/research\/a-weighted-viewport-quality-metric-for-omnidirectional-images\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/vinuni.edu.vn\/research\/a-weighted-viewport-quality-metric-for-omnidirectional-images\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"A Weighted Viewport Quality Metric for Omnidirectional Images\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/vinuni.edu.vn\/research\/#website\",\"url\":\"https:\/\/vinuni.edu.vn\/research\/\",\"name\":\"Vinuni Research Website\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/vinuni.edu.vn\/research\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/vinuni.edu.vn\/research\/#\/schema\/person\/d19200a9f0488a2d6374d8641ee8c085\",\"name\":\"phuong.ntn\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/vinuni.edu.vn\/research\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/678312306781d0830679d2c1a8a112f1?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/678312306781d0830679d2c1a8a112f1?s=96&d=mm&r=g\",\"caption\":\"phuong.ntn\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"A Weighted Viewport Quality Metric for Omnidirectional Images - Vinuni Research Website","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/vinuni.edu.vn\/research\/a-weighted-viewport-quality-metric-for-omnidirectional-images\/","og_locale":"en_US","og_type":"article","og_title":"A Weighted Viewport Quality Metric for Omnidirectional Images - Vinuni Research Website","og_description":"Abstract Thanks to the ability to bring immersive experiences to users, Virtual Reality (VR) technologies have been gaining popularity in recent years. 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