V3C1 Dataset Article Swipe
Fabian Berns
,
Luca Rossetto
,
Klaus Schoeffmann
,
Christian Beecks
,
George Awad
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1145/3323873.3325051
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1145/3323873.3325051
In this work we analyze content statistics of the V3C1 dataset, which is the first partition of theVimeo Creative Commons Collection (V3C). The dataset has been designed to represent true web videos in the wild, with good visual quality and diverse content characteristics, and will serve as evaluation basis for the Video Browser Showdown 2019-2021 and TREC Video Retrieval (TRECVID) Ad-Hoc Video Search tasks 2019-2021. The dataset comes with a shot segmentation (around 1 million shots) for which we analyze content specifics and statistics. Our research shows that the content of V3C1 is very diverse, has no predominant characteristics and provides a low self-similarity. Thus it is very well suited for video retrieval evaluations as well as for participants of TRECVID AVS or the VBS.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3323873.3325051
- https://dl.acm.org/doi/pdf/10.1145/3323873.3325051
- OA Status
- gold
- Cited By
- 57
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2950557411
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2950557411Canonical identifier for this work in OpenAlex
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https://doi.org/10.1145/3323873.3325051Digital Object Identifier
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V3C1 DatasetWork title
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articleOpenAlex work type
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enPrimary language
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2019Year of publication
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2019-06-05Full publication date if available
- Authors
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Fabian Berns, Luca Rossetto, Klaus Schoeffmann, Christian Beecks, George AwadList of authors in order
- Landing page
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https://doi.org/10.1145/3323873.3325051Publisher landing page
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https://dl.acm.org/doi/pdf/10.1145/3323873.3325051Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://dl.acm.org/doi/pdf/10.1145/3323873.3325051Direct OA link when available
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Computer science, Video retrieval, Information retrieval, Partition (number theory), Segmentation, Shot (pellet), Quality (philosophy), Artificial intelligence, Chemistry, Combinatorics, Organic chemistry, Philosophy, Epistemology, MathematicsTop concepts (fields/topics) attached by OpenAlex
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57Total citation count in OpenAlex
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2025: 3, 2024: 10, 2023: 9, 2022: 8, 2021: 15Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.V3C1 | 9, 91 |
| abstract_inverted_index.VBS. | 124 |
| abstract_inverted_index.been | 25 |
| abstract_inverted_index.good | 36 |
| abstract_inverted_index.shot | 70 |
| abstract_inverted_index.that | 87 |
| abstract_inverted_index.this | 1 |
| abstract_inverted_index.true | 29 |
| abstract_inverted_index.very | 93, 107 |
| abstract_inverted_index.well | 108, 115 |
| abstract_inverted_index.will | 44 |
| abstract_inverted_index.with | 35, 68 |
| abstract_inverted_index.work | 2 |
| abstract_inverted_index.Video | 51, 57, 61 |
| abstract_inverted_index.basis | 48 |
| abstract_inverted_index.comes | 67 |
| abstract_inverted_index.first | 14 |
| abstract_inverted_index.serve | 45 |
| abstract_inverted_index.shows | 86 |
| abstract_inverted_index.tasks | 63 |
| abstract_inverted_index.video | 111 |
| abstract_inverted_index.which | 11, 77 |
| abstract_inverted_index.wild, | 34 |
| abstract_inverted_index.(V3C). | 21 |
| abstract_inverted_index.Ad-Hoc | 60 |
| abstract_inverted_index.Search | 62 |
| abstract_inverted_index.shots) | 75 |
| abstract_inverted_index.suited | 109 |
| abstract_inverted_index.videos | 31 |
| abstract_inverted_index.visual | 37 |
| abstract_inverted_index.(around | 72 |
| abstract_inverted_index.Browser | 52 |
| abstract_inverted_index.Commons | 19 |
| abstract_inverted_index.TRECVID | 120 |
| abstract_inverted_index.analyze | 4, 79 |
| abstract_inverted_index.content | 5, 41, 80, 89 |
| abstract_inverted_index.dataset | 23, 66 |
| abstract_inverted_index.diverse | 40 |
| abstract_inverted_index.million | 74 |
| abstract_inverted_index.quality | 38 |
| abstract_inverted_index.Creative | 18 |
| abstract_inverted_index.Showdown | 53 |
| abstract_inverted_index.dataset, | 10 |
| abstract_inverted_index.designed | 26 |
| abstract_inverted_index.diverse, | 94 |
| abstract_inverted_index.provides | 100 |
| abstract_inverted_index.research | 85 |
| abstract_inverted_index.theVimeo | 17 |
| abstract_inverted_index.(TRECVID) | 59 |
| abstract_inverted_index.2019-2021 | 54 |
| abstract_inverted_index.Retrieval | 58 |
| abstract_inverted_index.partition | 15 |
| abstract_inverted_index.represent | 28 |
| abstract_inverted_index.retrieval | 112 |
| abstract_inverted_index.specifics | 81 |
| abstract_inverted_index.2019-2021. | 64 |
| abstract_inverted_index.Collection | 20 |
| abstract_inverted_index.evaluation | 47 |
| abstract_inverted_index.statistics | 6 |
| abstract_inverted_index.evaluations | 113 |
| abstract_inverted_index.predominant | 97 |
| abstract_inverted_index.statistics. | 83 |
| abstract_inverted_index.participants | 118 |
| abstract_inverted_index.segmentation | 71 |
| abstract_inverted_index.characteristics | 98 |
| abstract_inverted_index.characteristics, | 42 |
| abstract_inverted_index.self-similarity. | 103 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.9451519 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |