EventBuilder:可视化社交媒体的实时多媒体事件汇总

R. Shah, A. Shaikh, Yi Yu, Wenjing Geng, Roger Zimmermann, Gangshan Wu
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引用次数: 36

摘要

由于智能手机和数码相机无处不在,网上的照片/视频数量迅速增加。因此,如何高效地浏览多媒体内容,并从Flickr和Instagram等社交媒体分享平台上聚合的大量照片/视频中获取事件摘要是一个挑战。为此,本文介绍了EventBuilder系统,该系统通过可视化不同的社交媒体(如Wikipedia和Flickr),使人们能够实时自动生成给定事件的摘要。EventBuilder有两个新颖的特点:(i)利用维基百科作为事件背景知识来获取关于输入事件的更多上下文信息;(ii)通过一系列不同的社交媒体活动实时可视化有趣的事件。通过对来自Flickr的YFCC100M数据集的初步实验,本文提出的算法基于照片/视频和维基百科文章的元数据有效地总结了知识结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EventBuilder: Real-time Multimedia Event Summarization by Visualizing Social Media
Due to the ubiquitous availability of smartphones and digital cameras, the number of photos/videos online has increased rapidly. Therefore, it is challenging to efficiently browse multimedia content and obtain a summary of an event from a large collection of photos/videos aggregated in social media sharing platforms such as Flickr and Instagram. To this end, this paper presents the EventBuilder system that enables people to automatically generate a summary for a given event in real-time by visualizing different social media such as Wikipedia and Flickr. EventBuilder has two novel characteristics: (i) leveraging Wikipedia as event background knowledge to obtain more contextual information about an input event, and (ii) visualizing an interesting event in real-time with a diverse set of social media activities. According to our initial experiments on the YFCC100M dataset from Flickr, the proposed algorithm efficiently summarizes knowledge structures based on the metadata of photos/videos and Wikipedia articles.
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