Finding media illustrating events

Xueliang Liu, Raphael Troncy, B. Huet
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引用次数: 62

Abstract

We present a method combining semantic inferencing and visual analysis for finding automatically media (photos and videos) illustrating events. We report on experiments validating our heuristic for mining media sharing platforms and large event directories in order to mutually enrich the descriptions of the content they host. Our overall goal is to design a web-based environment that allows users to explore and select events, to inspect associated media, and to discover meaningful, surprising or entertaining connections between events, media and people participating in events. We present a large dataset composed of semantic descriptions of events, photos and videos interlinked with the larger Linked Open Data cloud and we show the benefits of using semantic web technologies for integrating multimedia metadata.
寻找说明事件的媒体
我们提出了一种结合语义推理和视觉分析的方法,用于自动查找说明事件的媒体(照片和视频)。我们报告了一项实验,验证了我们的启发式挖掘媒体共享平台和大型事件目录的方法,以便相互丰富它们所托管内容的描述。我们的总体目标是设计一个基于网络的环境,允许用户探索和选择事件,检查相关媒体,并在事件、媒体和参与事件的人之间发现有意义的、令人惊讶的或有趣的联系。我们展示了一个由事件、照片和视频的语义描述组成的大型数据集,这些事件、照片和视频与更大的关联开放数据云相互关联,我们展示了使用语义网络技术集成多媒体元数据的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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