GCap: Graph-based automatic image captioning
Date
2004
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Instructor
Source Title
2004 Conference on Computer Vision and Pattern Recognition Workshop
Print ISSN
2160-7508
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Publisher
IEEE
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Language
English
Type
Conference Paper
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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 for automatic image captioning. 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). © 2004 IEEE.
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Keywords
Computer vision, Image retrieval, Pattern recognition, Statistical tests, Automatic image captioning, Corel image database, Data set size, Graph-based, Percentage points, Training and testing, Graphic methods