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An Interactive Video Search Platform for Multi-modal Retrieval with Advanced Concepts

机译:具有先进概念的多模式检索交互式视频搜索平台

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The previous version of our retrieval system has shown some significant results in some retrieval tasks such as Lifelog's moment retrieval tasks. In this paper, we adapt our platform to the Video Browser Showdown's KIS and AVS tasks and present how our system performs in video search tasks. In addition to the smart features in our retrieval system that take advantage of the provided analysis data, we enhance the data with object color detection by employing Mask R-CNN and clustering. In this version of our search system, we try to extract the location information of the entities appearing in the videos and aim to exploit the spatial relationship between these entities. We also focus on designing efficient user interaction and a high-performance way to transfer data in the system to minimize the retrieval time.
机译:我们的检索系统的先前版本在某些检索任务(例如Lifelog的力矩检索任务)中显示了一些重要成果。在本文中,我们将平台调整为适应Video Browser Showdown的KIS和AVS任务,并介绍了我们的系统在视频搜索任务中的性能。除了利用提供的分析数据在我们的检索系统中提供的智能功能之外,我们还通过使用Mask R-CNN和聚类对对象颜色进行检测来增强数据。在此版本的搜索系统中,我们尝试提取视频中出现的实体的位置信息,并试图利用这些实体之间的空间关系。我们还专注于设计有效的用户交互和一种高性能的方式来在系统中传输数据,以最大程度地减少检索时间。

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