{"url":"/dataset/live-etri","name":"LIVE-ETRI","full_name":"ETRI-LIVE Space-Time Subsampled Video Quality (STSVQ) Database","description_markdown":"The video deployed parameter space is continuously increasing to provide more realistic and immersive experiences to global streaming and social media viewers. However, increments in video parameters such as spatial resolution or frame rate are inevitably associated with larger data volumes. Transmitting increasingly voluminous videos through limited bandwidth networks in a perceptually optimal way is a present challenge affecting billions of viewers. One recent practice adopted by the video service providers is space-time resolution adaptation in conjunction with video compression. Consequently, it is important to understand how different levels of space-time subsampling and compression affect the perceptual quality of videos.\r\nTowards making progress in this direction, we constructed a large new resource, called the ETRI-LIVE Space-Time Subsampled Video Quality (ETRI-LIVE-STSVQ) database, containing 437 videos generated by applying various levels of combined space-time subsampling and video compression on 15 diverse video contents. We also conducted a large-scale human study on the new dataset, collecting about 15,000 subjective judgments of video quality. The ETRI-LIVE STSVQ database is being made publicly and freely available with the desire to improve future research and development on topics such as video quality modeling and perceptual video coding.","description_withheld":null,"homepage":"https://live.ece.utexas.edu/research/ETRI-LIVE_STSVQ/index.html","introduced_date":"2021-01-29","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC","url":null},"modalities":[],"tasks":[{"name":"Video Quality Assessment","url":"/task/video-quality-assessment","datasets_with_task":"/datasets/task/video-quality-assessment"}],"languages":[],"variants":["LIVE-ETRI"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-quality-assessment-on-live-etri","task":"Video Quality Assessment","dataset_variant":"LIVE-ETRI","rows":7,"metrics":["SRCC"],"first_row_in_archive_order":{"model":"CONVIQT","paper":"/paper/conviqt-contrastive-video-quality-estimator","metrics":{"SRCC":"0.939"},"code_links":[{"title":"pavancm/conviqt","url":"https://github.com/pavancm/conviqt"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/conviqt-contrastive-video-quality-estimator","title":"CONVIQT: Contrastive Video Quality Estimator","date":"2022-06-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/image-quality-assessment-using-contrastive","title":"Image Quality Assessment using Contrastive Learning","date":"2021-10-25","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/chipqa-no-reference-video-quality-prediction","title":"ChipQA: No-Reference Video Quality Prediction via Space-Time Chips","date":"2021-09-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/no-reference-video-quality-assessment-using-1","title":"No-Reference Video Quality Assessment Using Space-Time Chips","date":"2020-08-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/two-level-approach-for-no-reference-consumer","title":"Two-Level Approach for No-Reference Consumer Video Quality Assessment","date":"2019-06-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/blind-prediction-of-natural-video-quality","title":"Blind Prediction of Natural Video Quality","date":"2014-01-09","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/no-reference-image-quality-assessment-in-the","title":"No-Reference Image Quality Assessment in the Spatial Domain","date":"2012-08-17","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":3,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}