{"id":782,"date":"2025-09-30T15:19:52","date_gmt":"2025-09-30T13:19:52","guid":{"rendered":"https:\/\/qoe.agh.edu.pl\/?page_id=782"},"modified":"2025-09-30T15:47:48","modified_gmt":"2025-09-30T13:47:48","slug":"hd-dsequa-video-sequence-database","status":"publish","type":"page","link":"https:\/\/qoe.agh.edu.pl\/pl\/hd-dsequa-video-sequence-database\/","title":{"rendered":"HD-dSEQUA Video Sequence Database"},"content":{"rendered":"

The HD-dSEQUA Video Sequence Database consists of raw video files<\/a> and a data file with quality indicators<\/a>.<\/p>\n\n\n\n

This dataset was created to support research on video compression and quality assessment. It contains 131 diverse video sequences that vary in spatial, temporal, and semantic characteristics. The materials come from multiple sources such as CableLabs, Netflix, SJTU Media Lab, Xiph.org, Ultra Video Group, and Twitch streams, ensuring broad coverage of both professional and user-generated content.<\/p>\n\n\n\n

The videos are stored in the Y4M format (uncompressed), mostly in Full HD resolution (1920\u00d71080), with additional sequences in 1920\u00d7804 and Ultra HD (3840\u00d72160). Frame rates range from 24 FPS to 60 FPS, with most videos lasting between 10 and 20 seconds.<\/p>\n\n\n\n

Ta CSV file<\/a> contains a table with video identifiers, names, and values of 10 no-reference Video Quality Indicators (VQIs), including measures of spatial and temporal activity, blur, noise, exposure, contrast, blockiness, block loss, interlacing artifacts, and UGC classification. These indicators enable quick comparison and benchmarking of video material quality.<\/p>\n\n\n\n

Both the videos and the data file are available at: qoe.agh.edu.pl\/hd-dsequa<\/a>.<\/p>\n\n\n\n

If you use these video sequences, please reference this web page as well as our paper, where a detailed description of the database has been published:

<\/a><\/form>

Korus, Filip; Juszka, Dawid; Grega, Micha\u0142; Leszczuk, Miko\u0142aj; Sucho\u0144, Micha\u0142; Dutta, Avrajyoti; Wanat, Dominika<\/p>

HD-dSEQUA: High Definition Diverse Video Sequence Dataset for Quality Assessment with Indicators Journal Article<\/span> <\/p>

In: <\/span>Przeg\u0105d Telekomunikacyjny \u2014 Wiadomo\u015bci Telekomunikacyjne, <\/span>vol. 98, <\/span>no. 4, <\/span>pp. 451-454, <\/span>2025<\/span>.<\/p>

BibTeX<\/a><\/span><\/p>

@article{korus2025hddsequa,
\r\ntitle = {HD-dSEQUA: High Definition Diverse Video Sequence Dataset for Quality Assessment with Indicators},
\r\nauthor = {Filip Korus and Dawid Juszka and Micha\u0142 Grega and Miko\u0142aj Leszczuk and Micha\u0142 Sucho\u0144 and Avrajyoti Dutta and Dominika Wanat},
\r\nyear  = {2025},
\r\ndate = {2025-09-01},
\r\nurldate = {2025-09-01},
\r\njournal = {Przeg\u0105d Telekomunikacyjny \u2014 Wiadomo\u015bci Telekomunikacyjne},
\r\nvolume = {98},
\r\nnumber = {4},
\r\npages = {451-454},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div><\/p>\n\n\n\n
<\/p>","protected":false},"excerpt":{"rendered":"
The HD-dSEQUA Video Sequence Database consists of raw video files and a data file with quality indicators. This dataset was created to support research on video compression and quality assessment. It contains 131 diverse video sequences that vary in spatial, temporal, and semantic characteristics. The materials come from multiple sources such as CableLabs, Netflix, SJTU … <\/p>\n
Czytaj dalej \u201eHD-dSEQUA Video Sequence Database\u201d<\/span><\/a><\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-782","page","type-page","status-publish","hentry"],"yoast_head":"\nHD-dSEQUA Video Sequence Database - AGH Video Quality of Experience (QoE) Team<\/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:\/\/qoe.agh.edu.pl\/pl\/hd-dsequa-video-sequence-database\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HD-dSEQUA Video Sequence Database - AGH Video Quality of Experience (QoE) Team\" \/>\n<meta property=\"og:description\" content=\"The HD-dSEQUA Video Sequence Database consists of raw video files and a data file with quality indicators. 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