关于V3C2数据集的见解
Insights on the V3C2 Dataset
摘要：
为了使研究结果具有可比性，重要的是要有共同的数据集进行实验和评估。然而，这些数据集的大小可能是其使用的障碍。Vimeo Creative Commons Collection（V3C）是一个视频数据集，旨在代表网络上的视频内容，总共包含大约3800小时的视频，分为三个碎片。在本文中，我们提出了对第二个碎片（V3C2）的见解，并讨论了它们对视频检索等研究领域的影响，该数据集可能特别有用。我们还提供了所有提取的数据，以简化数据集的使用。
英文摘要：
For research results to be comparable, it is important to have common datasets for experimentation and evaluation. The size of such datasets, however, can be an obstacle to their use. The Vimeo Creative Commons Collection (V3C) is a video dataset designed to be representative of video content found on the web, containing roughly 3800 hours of video in total, split into three shards. In this paper, we present insights on the second of these shards (V3C2) and discuss their implications for research areas, such as video retrieval, for which the dataset might be particularly useful. We also provide all the extracted data in order to simplify the use of the dataset.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
