InVID Fake Video Corpus 2018

The InVID TV Fake Video Corpus was developed in the context of the InVID project with the aim of gaining a perspective of the types of fake video that can be encountered in the real world. This third version of the dataset, published near the end of the project, has been extended to include 200 fake videos and 180 real ones. Furthermore, using crawling and near-duplicate retrieval, a large number of near-duplicates of each fake and real video have been collected, leading to a total of 3957 videos annotated as fake and 2458 annotated as real. The videos are temporally ordered in cascades and accompanied by their metadata. As we do not own the rights to the videos, the dataset only contains the video URLs and annotations.

InVID-TV伪造视频语料库（InVID TV Fake Video Corpus）依托InVID项目研发，旨在洞悉现实场景中可能出现的各类伪造视频类型。本数据集的第三个版本于项目临近尾声时发布，扩充至包含200条伪造视频与180条真实视频。此外，通过爬虫与近重复检索技术，项目组收集了每条伪造及真实视频的大量近重复样本，最终总计标注伪造视频3957条、真实视频2458条。所有视频均按时间序列以级联形式排序，并附带对应元数据。由于本团队不享有视频的版权，本数据集仅包含视频链接与标注信息。

搜集汇总

背景与挑战

背景概述

InVID Fake Video Corpus 2018是一个由欧盟InVID项目开发的虚假视频数据集，包含大量虚假和真实视频的URL及注释，用于研究现实世界中的视频伪造和虚假信息传播。数据集通过爬取和近重复检索技术扩展，提供了丰富的视频元数据和时序排列的级联信息。