YFCC100M数据集视频时空及内容特征分析

Jun-Ho Choi, Jong-Seok Lee
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引用次数: 2

摘要

雅虎Flickr知识共享1亿数据集(YFCC100M)是最大的公共数据库之一,包含用于多媒体分析研究的图像和视频及其注释。在本文中,我们从空间、时间和内容的角度对数据集中的80万个视频进行了特征分析。为此,对视频的所有视频帧和元数据进行检查。此外,还对这些特性进行了用户分析。我们将获得的结果以元数据集的形式公开提供给研究界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset
The Yahoo Flickr Creative Commons 100 Million dataset (YFCC100M) is one of the largest public databases containing images and videos and their annotations for research on multimedia analysis. In this paper, we present our study on analysis of characteristics of the 0.8 million videos in the dataset in spatial, temporal, and content perspectives. For this, all the video frames and metadata of the videos are examined. In addition, user-wise analysis of the characteristics is conducted. We make the obtained results publicly available in the form of a metadata dataset for the research community.
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