基于语义扩展和可视化分析的在线视频地理标记

Xavier Sevillano, T. Piatrik, K. Chandramouli, Qianni Zhang, E. Izquierdo
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引用次数: 5

摘要

将地理标签与多媒体资源相关联,可以使用地理标准浏览和搜索在线多媒体存储库,但是这种类型的系统仍然看不到数百万已经在线但未标记地理位置的视频和图像。这种情况要求发展能够估计录像或图像拍摄地点的自动地理标记技术。本文提出了一种基于文本元数据中地理信息提取和扩展以及视觉相似性标准的在线视频双峰地理标记系统。在MediaEval 2011放置任务数据集上评估了所提出系统的性能,并与该研讨会的参与者进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geo-tagging online videos using semantic expansion and visual analysis
The association of geographical tags to multimedia resources enables browsing and searching online multimedia repositories using geographical criteria, but millions of already online but non geo-tagged videos and images remain invisible to the eyes of this type of systems. This situation calls for the development of automatic geo-tagging techniques capable of estimating the location where a video or image was taken. This paper presents a bimodal geo-tagging system for online videos based on extracting and expanding the geographical information contained in the textual metadata and on visual similarity criteria. The performance of the proposed system is evaluated on the MediaEval 2011 Placing task data set, and compared against the participants in that workshop.
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