V3C - a Research Video Collection

TL;DR

The paper introduces V3C, a large-scale, publicly available video dataset with detailed annotations, designed to support research in video analysis and retrieval reflecting internet video properties.

Contribution

It presents V3C, a comprehensive dataset of over 28,000 videos with annotations, addressing limitations of existing datasets for large-scale video research.

Findings

V3C contains 28,450 videos totaling 3,800 hours.

Includes shot segmentation and keyframes with metadata.

Designed for TRECVid evaluation from 2019.

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 hours) 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).