Abstract
We propose a framework for automated classification of Advertisement Images, using not just Visual features but also Textual cues extracted from embedded text. Our approach takes inspiration from the assumption that Ad images contain meaningful textual content, that can provide discriminative semantic interpretetion, and can thus aid in classifcation tasks. To this end, we develop a framework using off-the-shelf components, and demonstrate the effectiveness of Textual cues in semantic Classfication tasks.
Abstract (translated)
我们提出了一个自动分类广告图像的框架，不仅使用视觉特征，还使用从嵌入文本中提取的文本提示。我们的方法从广告图像包含有意义的文本内容，可以提供有区别的语义解释并因此有助于分类任务的假设中获得灵感。为此，我们开发了一个使用现成组件的框架，并展示了语义指令在语义分类任务中的有效性。
URL
https://arxiv.org/abs/1806.08279
