{"url":"/dataset/live-livestream","name":"LIVE Livestream","full_name":null,"description_markdown":"**LIVE Livestream** is a database for Video Quality Assessment (VQA), specifically designed for live streaming VQA research. The dataset is called the Laboratory for Image and Video Engineering (LIVE) Live stream Database. The LIVE Livestream Database includes 315 videos of 45 contents impaired by 6 types of distortions.","description_withheld":null,"homepage":"https://live.ece.utexas.edu/research/LIVE_APV_Study/apv_index.html","introduced_date":"2021-06-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/assessment-of-subjective-and-objective","title":"Assessment of Subjective and Objective Quality of Live Streaming Sports Videos","first_author":"Zaixi Shang","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Video Quality Assessment","url":"/task/video-quality-assessment","datasets_with_task":"/datasets/task/video-quality-assessment"}],"languages":[],"variants":["LIVE Livestream"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-quality-assessment-on-live-livestream","task":"Video Quality Assessment","dataset_variant":"LIVE Livestream","rows":4,"metrics":["SRCC"],"first_row_in_archive_order":{"model":"ChipQA","paper":"/paper/chipqa-no-reference-video-quality-prediction","metrics":{"SRCC":"0.7575"},"code_links":[{"title":"JoshuaEbenezer/ChipQA","url":"https://github.com/JoshuaEbenezer/ChipQA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"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/rapique-rapid-and-accurate-video-quality","title":"RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content","date":"2021-01-26","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}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"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."}