Mobile App for Text-to-Image Synthesis.

Generating visual representation of textual information is a challenging yet interesting topic with many potential applications. In this paper, we propose a novel approach to visualize natural language sentences using ImageNet to enhance language education. Currently the focus is to assist English language learners in building their vocabulary of common nouns and developing an in-depth understanding of the various prepositions of locations. To achieve this goal, real-world images representing nouns are obtained from ImageNet and their foreground objects of interest are extracted using image segmentation. The objects are then re-arranged on a canvas based on their spatial relationship specified in the sentence. To demonstrate the effectiveness of the proposed approach, we have developed a mobile application that uses the RESTful API to retrieve the images from the web service that operate the image generation program. The prototype mobile application can create visual representations of natural language sentences and a text description of the spatial relationship of objects to assist in learning new vocabulary and spatial prepositions during language education.