Data from the paper: Weakly supervised construction of a repository of iconic images

Item Type:	Dataset
Title:	Data from the paper: Weakly supervised construction of a repository of iconic images
Date:	June 2014
Creator:	Weiland, Lydia ; Effelsberg, Wolfgang ; Ponzetto, Simone Paolo

DDC
Classification:

004 Computer science, internet

Abstract:

We present a first attempt at semi-automatically harvesting a dataset of iconic images. Iconic images are depicting 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.

URL:	https://madata.bib.uni-mannheim.de/87/
DOI:	https://doi.org/10.7801/87
Access (Controlled):	Download
Related Publication(s) in MADOC:	Weiland Lydia und Effelsberg Wolfgang und Ponzetto Simone Paolo (2014), Weakly supervised construction of a repository of iconic images

File	Filename / Infos	Link
	Text Filename: ReadMe.txt	Download (2kB)
	Archive Filename: DatasetIconicImages.zip	Download (2MB)

Date Deposited:	09 Jul 2014 10:03
Last Modified:	13 Oct 2015 07:49

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Data from the paper: Weakly supervised construction of a repository of iconic images

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