The 3rd Annual Meeting Of The EPSRC Network On Vision & Language and The 1st Technical Meeting of the European Network on Integrating Vision and Language : A Workshop of the 25th International Conference on Computational Linguistics ; Proceedings
Page range:
68-73
Conference title:
COLING 2014 - The 3rd Workshop on Vision and Language (VL'14)
We present a first attempt at semi-automatically harvesting a dataset of iconic images, namely
images that depict objects or scenes, which arouse associations to abstract topics. Our method
starts with representative topic-evoking images from Wikipedia, which are labeled with relevant
concepts and entities found in their associated captions. These are used to query an online image
repository (i.e., Flickr), in order to further acquire additional examples of topic-specific iconic
relations. To this end, we leverage a combination of visual similarity measures, image clustering
and matching algorithms to acquire clusters of iconic images that are topically connected to the
original seed images, while also allowing for various degrees of diversity. Our first results are
promising in that they indicate the feasibility of the task and that we are able to build a first
version of our resource with minimal supervision.
Dieser Eintrag ist Teil der Universitätsbibliographie.
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