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Multimodal Space for Rushes Representation and Retrieval

机译:急于急于表示和检索的多峰空间

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In video content analysis, growing research effort aims at characterising a specific type of unedited content, called rushes. This raw material, used by broadcasters and film studios for editing video programmes, usually lies un-annotated in a huge database. In this work we aim at retrieving a desired type of rush by representing the whole database content in a multimodal space. Each rush content is mapped into a trajectory whose coordinates are connected to multimodal features and filming techniques used by cameramen while shooting. The trajectory evolution over time provides a strong characterisation of the video, so that different types of rushes are located into different regions of the multimodal space. The ability of the proposed method has been tested by retrieving similar rushes from a large database provided by EiTB, the Basque Country main broadcaster.
机译:在视频内容分析中,越来越多的研究努力旨在表征特定类型的未经编辑的内容,称为RUSHES。用于编辑视频节目的广播公司和电影工作室使用的这种原材料通常在庞大的数据库中呈现Un-Annotated。在这项工作中,我们的目的是通过代表多模式空间中的整个数据库内容来检索所需类型的ruck。每个RUSH内容映射到轨迹中,其坐标连接到拍摄时摄像机使用的多模式特征和拍摄技术。随着时间的推移,轨迹演变提供了对视频的强烈表征,因此不同类型的匆忙位于多峰空间的不同区域。通过从EITB,巴斯克地区主要广播公司提供的大型数据库中检索类似的RSPERS来测试所提出的方法的能力。

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