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Kompatsiaris, I.; Huet, B.; Mezaris, V.; Gurrin, C.; Cheng, W.-H.; Vrochidis, S.
Book title (Conference Proceedings)
Proceedings of the 25th International Conference on MultiMedia Modeling (MMM'19)
Volume
1
Place of Conference
Thessaloniki, Greece
Year of Conference
2019
Publisher
Springer
Place of Publication
Cham
Pages
349-360
ISSN/ISBN
978-3-030-05709-1 ; 978-3-030-05710-7
Abstract
With the widespread use of smartphones as recording devices and the massive growth in bandwidth, the number and volume of video collections has increased significantly in the last years. This poses novel challenges to the management of these large-scale video data and especially to the analysis of and retrieval from such video collections. At the same time, existing video datasets used for research and experimentation are either not large enough to represent current collections or do not reflect the properties of video commonly found on the Internet in terms of content, length, or resolution.In this paper, we introduce the Vimeo Creative Commons Collection, in short V3C, a collection of 28'450 videos (with overall length of about 3'800 h) published under creative commons license on Vimeo. V3C comes with a shot segmentation for each video, together with the resulting keyframes in original as well as reduced resolution and additional metadata. It is intended to be used from 2019 at the International large-scale TREC Video Retrieval Evaluation campaign (TRECVid).
