{"url":"/dataset/enf-moving-video","name":"ENF moving video","full_name":"Electric Network Frequency Moving Video Dataset","description_markdown":"The ENF moving video dataset, which is a subset of the dataset used\r\nin [Temporal Localization of Non-Static Digital Videos Using the Electrical Network Frequency ](https://paperswithcode.com/paper/temporal-localization-of-non-static-digital), consists of video recording without the audio channel coupled with the\r\ncorresponding power ENF signal reference in WAV format at a rate of 1 kHz. The\r\ndataset is made of 8 video clips recorded in Europe at 29.97 frames per second,\r\nwith a duration of approximately 11-12 minutes, using a GoPro Hero 4 Black\r\nand an NK AC3061-4KN camera. In terms of content, videos 1-3 are entirely\r\nstationary, videos 4-5 are predominantly stationary with some movement, and\r\nvideos 6-8 are non-stationary, meaning the camera is fixed, but there are moving\r\nobjects in most frames. All videos depict natural, everyday indoor scenes (i.e.,\r\nnot plain backgrounds).","description_withheld":null,"homepage":"https://zenodo.org/records/3549379#.Y6WRPXZByUk","introduced_date":"2020-04-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/temporal-localization-of-non-static-digital","title":"Temporal Localization of Non-Static Digital Videos Using the Electrical Network Frequency","first_author":"Samuel Fernández-Menduiña","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"ENF (Electric Network Frequency) Extraction from Video","url":"/task/enf-electric-network-frequency-extraction-1","datasets_with_task":"/datasets/task/enf-electric-network-frequency-extraction-1"}],"languages":[],"variants":["ENF moving video"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}