In this paper we propose a totally unsupervised and automatic illustration method, which aims to find ontothe Web a set of images to illustrate the content of an input short text. The text is modelled as a semanticspace and a set of relevant keywords is extracted. We compare and discuss different methods to create semanticrepresentations by keyword extraction. Keywords are used to query Google Image Search engine fora list of relevant images. We also extract information from the Web pages that include the retrieved images,to create an Image Semantic Space, which is compared to the Text Semantic Space in order to rank the listof retrieved images. Tests showed that our method achieves very good results, which overcome those obtainedby using a state-of-the-art application. Furthermore we developed a Web tool to test our system andevaluate results within the Internet community.
|Titolo della pubblicazione ospite||Proceedings of the 6th International Conference on Information Visualization Theory and Applications (IVAPP-2015)|
|Numero di pagine||10|
|Stato di pubblicazione||Published - 2015|
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
Ardizzone, E., Mazzola, G., & Aramini, S. A. (2015). Automatic Illustration of Short Texts via Web Images. In Proceedings of the 6th International Conference on Information Visualization Theory and Applications (IVAPP-2015) (pagg. 139-148)