@inproceedings{f597946af25e464ebd3bc67e27447f7e,
title = "From large scale image categorization to entry-level categories",
abstract = "Entry level categories-the labels people will use to name an object-were originally defined and studied by psychologists in the 1980s. In this paper we study entry-level categories at a large scale and learn the first models for predicting entry-level categories for images. Our models combine visual recognition predictions with proxies for word 'naturalness' mined from the enormous amounts of text on the web. We demonstrate the usefulness of our models for predicting nouns (entry-level words) associated with images by people. We also learn mappings between concepts predicted by existing visual recognition systems and entry-level concepts that could be useful for improving human-focused applications such as natural language image description or retrieval.",
keywords = "categories, categorization, entry-level, images, language, prediction, retrieval",
author = "Vicente Ordonez and Jia Deng and Yejin Choi and Berg, {Alexander C.} and Berg, {Tamara L.}",
year = "2013",
doi = "10.1109/ICCV.2013.344",
language = "English (US)",
isbn = "9781479928392",
series = "Proceedings of the IEEE International Conference on Computer Vision",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2768--2775",
booktitle = "Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013",
address = "United States",
note = "2013 14th IEEE International Conference on Computer Vision, ICCV 2013 ; Conference date: 01-12-2013 Through 08-12-2013",
}