YFCC100m数据集的实时分析与可视化

Sebastian Kalkowski, Christian Schulze, A. Dengel, Damian Borth
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引用次数: 41

摘要

Yahoo Flickr Creative Commons 1亿数据集(YFCC100m)为计算机视觉和多媒体研究领域提供了一个全新的数据集。为了使研究界的利益最大化并利用其潜力,该数据集必须通过允许在数据集中搜索目标概念的工具和浏览数据集的图像和视频的机制来访问。根据ImageNet和MS COCO等数据收集的最佳实践,本文提出了YFCC100m数据集的可访问性方法。这包括对数据集的全局分析和一个在线浏览器,用于实时探索和调查数据集的子集。提供查询的图像和视频的统计数据将使研究人员能够不断地改进他们的查询,这样用户想要的兴趣子集就可以迅速缩小范围。最后一组图像和视频可以作为url从浏览器下载,以便进一步处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time Analysis and Visualization of the YFCC100m Dataset
With the Yahoo Flickr Creative Commons 100 Million (YFCC100m) dataset, a novel dataset was introduced to the computer vision and multimedia research community. To maximize the benefit for the research community and utilize its potential, this dataset has to be made accessible by tools allowing to search for target concepts within the dataset and mechanism to browse images and videos of the dataset. Following best practice from data collections, such as ImageNet and MS COCO, this paper presents means of accessibility for the YFCC100m dataset. This includes a global analysis of the dataset and an online browser to explore and investigate subsets of the dataset in real-time. Providing statistics of the queried images and videos will enable researchers to refine their query successively, such that the users desired subset of interest can be narrowed down quickly. The final set of image and video can be downloaded as URLs from the browser for further processing.
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