FOVEA: A video frame organizer via identity extraction and analysis

M. De Marsico, M. Nappi, D. Riccio
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Abstract

In this work we present FOVEA, a system for video sequence indexing based on the identity of appearing subjects. We will detail the features of the single component modules, devoting special attention to classification and clustering. The system presents a number of peculiarities that distinguish it from existing ones. Among these, the account for the concomitant appearance of two subjects in the same clip, and the use of such information in the process of identity mapping. FOVEA was tested on 16 video clips with results that assess both its efficacy and efficiency.
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FOVEA:通过身份提取和分析的视频帧组织者
在这项工作中,我们提出了FOVEA,一个基于出现主体身份的视频序列索引系统。我们将详细介绍单组件模块的特性,特别关注分类和聚类。这个系统表现出许多与现有系统不同的特点。其中,考虑到两个被测者在同一片段中同时出现,以及在身份映射过程中使用这些信息。在16个视频片段上对FOVEA进行了测试,结果评估了其功效和效率。
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