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Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, and Pinar Duygulu. GCap: Graph-based Automatic Image Captioning. In Proceedings
of the 4th International Workshop on Multimedia Data and Document Engineering (MDDE 04), in conjunction with Computer Vision
Pattern Recognition Conference (CVPR 04), 2004.
Washington DC, July 2nd 2004
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Given an image, how do we automatically assign keywords to it?In this paper, we propose a novel, graph-based approach (GCap) which outperforms previously reported methods. Moreover, it is fast and scales well, with its training and testing time linear to the data set size. We report auto-captioning experiments on the ``standard'' Corel image database of 680 MBytes, where GCap outperforms recent, successful auto-captioning methods by up to 10 percentage points in captioning accuracy (50\% relative improvement).
@InProceedings{MDDE04GCap,
author = {Jia-Yu Pan and Hyung-Jeong Yang and Christos Faloutsos and Pinar Duygulu},
title = {GCap: Graph-based Automatic Image Captioning},
booktitle = {Proceedings of the 4th International Workshop on Multimedia Data and Document Engineering (MDDE 04), in conjunction with Computer Vision Pattern Recognition Conference (CVPR 04)},
year = 2004,
wwwnote = {Washington DC, July 2nd 2004},
abstract = {Given an image, how do we automatically assign keywords to it?
In this paper, we propose a novel, graph-based approach (GCap) which outperforms previously reported methods. Moreover, it is fast and scales well, with its training and testing time <i>linear</i> to the data set size. We report auto-captioning experiments on the ``standard'' Corel image database of 680 MBytes, where GCap outperforms recent, successful auto-captioning methods by up to 10 percentage points in captioning accuracy (50\% relative improvement).},
bib2html_pubtype = {Refereed Conference},
bib2html_rescat = {Multimedia Data Mining},
}
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