A Survey of Data Representation for Multi-Modality Event Detection and Evolution

A Survey of Data Representation for Multi-Modality Event Detection and Evolution
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DOI:
10.3390/app12042204
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发表时间:
2022-02
期刊:
影响因子:
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通讯作者:
K. Xiao;Zhaopeng Qian;Biao Qin
K. Xiao;Zhaopeng Qian;Biao Qin
中科院分区:
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文献类型:
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作者:
K. Xiao;Zhaopeng Qian;Biao Qin

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网络数据的快速增长使得人们获取信息变得非常方便。然而,这也导致了“信息过载”的问题。因此,如何从海量信息中发现热点事件一直是一个问题。随着多媒体平台的发展,事件检测逐渐从传统的单一模态检测发展到多模态检测并受到越来越多的关注。多模态事件检测的目标是从大量不同数据结构的在线数据(例如文本、图像和视频)中发现事件。这些数据从不同的角度代表现实世界的事件,以便它们可以提供有关事件的更多信息。此外,事件演化也是一个有意义的研究方向;它模拟事件如何随时间动态变化,对于事件分析具有重要意义。本文全面回顾了事件检测和演化的现有研究。我们首先给出事件检测和演化的一系列必要的定义。接下来,我们讨论事件检测的数据表示技术,包括文本、视觉和多模态内容。最后,我们回顾了多模态数据下的事件演化。此外,我们回顾了几个公共数据集并比较了它们的结果。在本文的最后,我们提供了结论并讨论了未来的工作。
The rapid growth of online data has made it very convenient for people to obtain information. However, it also leads to the problem of “information overload”. Therefore, how to detect hot events from the massive amount of information has always been a problem. With the development of multimedia platforms, event detection has gradually developed from traditional single modality detection to multi-modality detection and is receiving increasing attention. The goal of multi-modality event detection is to discover events from a huge amount of online data with different data structures, such as texts, images and videos. These data represent real-world events from different perspectives so that they can provide more information about an event. In addition, event evolution is also a meaningful research direction; it models how events change dynamically over time and has great significance for event analysis. This paper comprehensively reviews the existing research on event detection and evolution. We first give a series of necessary definitions of event detection and evolution. Next, we discuss the techniques of data representation for event detection, including textual, visual, and multi-modality content. Finally, we review event evolution under multi-modality data. Furthermore, we review several public datasets and compare their results. At the end of this paper, we provide a conclusion and discuss future work.