Weakly supervised construction of a repository of iconic images

Weiland, Lydia ; Effelsberg, Wolfgang ; Ponzetto, Simone Paolo

URL: http://www.aclweb.org/anthology/W14-5410
Additional URL: http://www.aclweb.org/anthology/W/W14/W14-54.pdf
Document Type: Conference or workshop publication
Year of publication: 2014
Book title: 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)
Location of the conference venue: Dublin, Ireland
Date of the conference: August 23, 2014
Publisher: Belz, Anja
Place of publication: Stroudsburg, Pa.
Publishing house: Asooc. for Computational Linguistics
ISBN: 978-1-873769-28-1
Publication language: English
Institution: School of Business Informatics and Mathematics > Semantic Web (Juniorprofessur) (Ponzetto 2013-2015)
Subject: 004 Computer science, internet
Abstract: 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.

Metadata export


+ Search Authors in

+ Page Views

Hits per month over past year

Detailed information

You have found an error? Please let us know about your desired correction here: E-Mail

Actions (login required)

Show item Show item