Paper: Collective Generation of Natural Image Descriptions

ACL ID P12-1038
Title Collective Generation of Natural Image Descriptions
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

We present a holistic data-driven approach to image description generation, exploit- ing the vast amount of (noisy) parallel im- age data and associated natural language descriptions available on the web. More specifically, given a query image, we re- trieve existing human-composed phrases used to describe visually similar images, then selectively combine those phrases to generate a novel description for the query image. We cast the generation pro- cess as constraint optimization problems, collectively incorporating multiple inter- connected aspects of language composition for content planning, surface realization and discourse structure. Evaluation by hu- man annotators indicates that our final system generates more semantically cor- rect and linguistically appealing descrip- tions than t...