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Every picture tells a story: generating sentences for images (2010)
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| Venue: | In European Conference on Computer Vision (ECCV |
| Citations: | 142 - 11 self |
BibTeX
@INPROCEEDINGS{Farhadi10everypicture,
author = {Ali Farhadi and Mohsen Hejrati and Mohammad Amin Sadeghi and Peter Young and Cyrus Rashtchian and Julia Hockenmaier and David Forsyth},
title = {Every picture tells a story: generating sentences for images},
booktitle = {In European Conference on Computer Vision (ECCV},
year = {2010}
}
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Abstract
Abstract. Humans can prepare concise descriptions of pictures, focus-ing on what they find important. We demonstrate that automatic meth-ods can do so too. We describe a system that can compute a score linking an image to a sentence. This score can be used to attach a descriptive sentence to a given image, or to obtain images that illustrate a given sentence. The score is obtained by comparing an estimate of meaning ob-tained from the image to one obtained from the sentence. Each estimate of meaning comes from a discriminative procedure that is learned us-ing data. We evaluate on a novel dataset consisting of human-annotated images. While our underlying estimate of meaning is impoverished, it is sufficient to produce very good quantitative results, evaluated with a novel score that can account for synecdoche. 1
