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Weakly-supervised construction of a repository of iconic images

Resource Type
  • Weiland, Lydia
  • Effelsberg, Wolfgang
  • Ponzetto, Simone Paolo
Publication Date
  • 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.

Data and File Information
  • Unit Type: Other
    Number of Units: 1
    • File Name:
      File Format: application/zip
      File Size: 336905352
      Data Fingerprint: f5730181f7accea8c531e2a512c37fb1
      Method Fingerprint: MD5

Update Metadata: 2018-03-02 | Issue Number: 3 | Registration Date: 2015-01-08

Weiland, Lydia; Effelsberg, Wolfgang; Ponzetto, Simone Paolo (2014): Weakly-supervised construction of a repository of iconic images. Version: 1. Universitätsbibliothek Mannheim. Dataset.