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The V3C1 Dataset: Advancing the State of the Art in Video Retrieval

Rossetto, Luca and Berns, Fabian and Schöffmann, Klaus and Awad, George and Beecks, Christian. (2019) The V3C1 Dataset: Advancing the State of the Art in Video Retrieval. ACM SIGMM Records, 11 (2).

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Official URL: https://edoc.unibas.ch/73829/

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Abstract

Standardized datasets are of vital importance in multimedia research, as they form the basis for reproducible experiments and evaluations. In the area of video retrieval, widely used datasets such as the IACC, which has formed the basis for the TRECVID Ad-Hoc Video Search Task and other retrieval-related challenges, have started to show their age. For example, IACC is no longer representative of video content as it is found in the wild. This is illustrated by the figures below, showing the distribution of video age and duration across various datasets in comparison with a sample drawn from Vimeo and Youtube.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Rossetto, Luca
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:ACM
e-ISSN:1947-4598
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:02 Jul 2020 12:01
Deposited On:24 Jun 2020 15:12

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