TIB’s Visual Analytics Research Group receives Award at TPDL Conference

Honorable Mention Award for the paper "Finding Person Relations in Image Data of News Collections in the Internet Archive"

A paper contributed by the TIB’s Visual Analytics Research Group received the "Honorable Mention Award" at the TPDL 2018 (22nd International Conference on Theory and Practice of Digital Libraries) in Porto (Portugal) from 10 to 13 September. In total, 51 “full papers” were submitted to TPDL 2018, of which 16 (31%) were invited to present in a full-length oral presentation at the conference. This year, research groups of the TIB (Data Science & Digital Libraries, Scientific Data Management, Open Science Lab) participated in TPDL with numerous contributions.

In the Honorable Mention Award winning paper "Finding Person Relations in Image Data of News Collections in the Internet Archive", the authors present a system that automatically recognises and identifies people in photos of news collections from the Internet archive. The approach is based on state-of-the-art machine learning methods, so-called deep (i.e., very large) neural networks. Through an appropriate visualisation of results, users and researchers, e.g. historians, can quickly and effectively explore information about person relationships in photos, i.e. how often persons of public interest were presented together on the same photo or in photos of the same article within a certain period of time. The authors demonstrate the benefits of the system via two use cases for online news from politics and entertainment in 2013. The trained models as well as the demo of the use cases described in the article are freely available online. In the future, the approach will be extended so that person recognition in images can be linked or compared with mentions in the corresponding news text. The work was developed in the context of the ALEXANDRIA project (ERC Advanced Research Grant, Prof. Wolfgang Nejdl), which is conducted at the L3S Research Center and investigates innovative methods for temporal search in web archives.

Reference: Eric Müller-Budack, Kader Pustu-Iren, Sebastian Diering, and Ralph Ewerth: “Finding Person Relations in Image Data of News Collections in the Internet Archive”. In: Méndez E., Crestani F., Ribeiro C., David G., Lopes J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. Lecture Notes in Computer Science, Vol 11057. Springer, Cham. DOI: 10.1007/978-3-030-00066-0_20