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Seeing What You#039;re Told: Sentence-Guided Activity Recognition in Video

机译:明白自己的意思:视频中的句子引导活动识别

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We present a system that demonstrates how the compositional structure of events, in concert with the compositional structure of language, can interplay with the underlying focusing mechanisms in video action recognition, providing a medium for top-down and bottom-up integration as well as multi-modal integration between vision and language. We show how the roles played by participants (nouns), their characteristics (adjectives), the actions performed (verbs), the manner of such actions (adverbs), and changing spatial relations between participants (prepositions), in the form of whole-sentence descriptions mediated by a grammar, guides the activity-recognition process. Further, the utility and expressiveness of our framework is demonstrated by performing three separate tasks in the domain of multi-activity video: sentence-guided focus of attention, generation of sentential description, and query-based search, simply by leveraging the framework in different manners.
机译:我们提供了一个系统,该系统演示了事件的构成结构与语言的构成结构如何可以与视频动作识别中的基本聚焦机制相互作用,从而为自上而下和自下而上的集成以及多种-视觉和语言之间的模式整合。我们以整体形式展示参与者(名词)扮演的角色,他们的特征(形容词),所执行的动作(动词),此类动作的方式(副词)以及参与者之间的空间关系(介词)如何变化。语法介导的句子描述指导活动识别过程。此外,通过在多活动视频领域中执行三个单独的任务来证明我们框架的实用性和表达力:简单地通过在不同活动中利用框架,便可以集中注意力进行句子引导的关注点,句子描述的生成和基于查询的搜索举止。

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