论文标题
标签或消息：对文本和对象的大规模实验调查
Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence
论文作者
论文摘要
我们的日常生活被文本信息所包围。如今，由于场景探测器和识别器的急剧改善，自动收集文本信息的收集变得可能。本文的目的是对视觉对象（例如书籍和汽车）与具有大图像数据集的场景文本以及最先进的场景文本检测器和识别器进行大规模调查。特别是，我们专注于“标签”文本的功能，这些功能附加到以详细介绍对象的对象上。通过分析对象和场景文本之间的共发生，可以观察有关标签文本的统计信息，并了解场景文本如何对识别对象有用，反之亦然。
Our daily life is surrounded by textual information. Nowadays, the automatic collection of textual information becomes possible owing to the drastic improvement of scene text detectors and recognizer. The purpose of this paper is to conduct a large-scale survey of co-occurrence between visual objects (such as book and car) and scene texts with a large image dataset and a state-of-the-art scene text detector and recognizer. Especially, we focus on the function of "label" texts, which are attached to objects for detailing the objects. By analyzing co-occurrence between objects and scene texts, it is possible to observe the statistics about the label texts and understand how the scene texts will be useful for recognizing the objects and vice versa.
