The past few years have witnessed a surge of interest in many topics at the intersection of natural language processing and computer vision. In particular, using objects together with their attributes and relations to represent images or interpret languages has been proved useful across a wide variety of applications. The goal of this work is to provide an improved RDF-based model to represent images for enhancing textual based image retrieval. We use natural language processing tools to obtain a set of objects, attributes and relations; and then model them into graphical structures with RDF-based model. We also conduct some preliminary experiments to show how to handle textual based image retrieval for complex queries or multilingual queries. The experimental results show that our approach improves the representation of image descriptions, which is suitable for enhancing image retrieval with high-level semantics.

在过去的几年中，自然语言处理和计算机视觉的交汇处对许多主题的兴趣激增。特别是，已证明在各种应用程序中使用对象及其属性和关系来表示图像或解释语言是有用的。这项工作的目的是提供一种改进的基于RDF的模型来表示图像，以增强基于文本的图像检索。我们使用自然语言处理工具来获取一组对象，属性和关系；然后使用基于RDF的模型将它们建模为图形结构。我们还进行了一些初步实验，以展示如何处理复杂查询或多语言查询的基于文本的图像检索。实验结果表明，我们的方法改进了图像描述的表示方式，