Abstract
We discuss Image Sense Discrimination (ISD), and apply a method based on spectral clustering, using multimodal features from the image and text of the embedding web page. We evaluate our method on a new data set of annotated web images, retrieved with ambiguous query terms. Experiments investigate different levels of sense granularity, as well as the impact of text and image features, and global versus local text features.
| Original language | English (US) |
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| Pages | 547-554 |
| Number of pages | 8 |
| State | Published - 2006 |
| Externally published | Yes |
| Event | 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 - Sydney, NSW, Australia Duration: Jul 17 2006 → Jul 21 2006 |
Other
| Other | 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 |
|---|---|
| Country/Territory | Australia |
| City | Sydney, NSW |
| Period | 7/17/06 → 7/21/06 |
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Modeling and Simulation
- Human-Computer Interaction