Kader Pustu-Iren (M.Sc.)

As part of a project for indexing large video collections, I am working on person recognition and visualization techniques for effective exploration. My research focus is on visual question answering for videos (VideoQA). This involves the extraction of visual information, including person/concept recognition and geolocation estimation, as well as the modeling of knowledge graphs to automatically answer questions based on the visual content of a video. My work is based on deep learning methods.

• K. Pustu-Iren, E. Müller-Budack, S. Hakimov, R. Ewerth:
  Visualizing Copyright-protected Video Archive Content Through Similarity Search
  In: Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), 2021, 123-127. (demo paper)

• K. Pustu-Iren, G. Bruns, R. Ewerth:
  A Multimodal Approach for Semantic Patent Image Retrieval
  In: Proceedings of Workshop on Patent Text Mining and Semantic Technologies, co-located with International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021, 45-49.
  http://ceur-ws.org/Vol-2909/paper6.pdf

• E. Müller-Budack, K. Pustu-Iren, S. Diering, M. Springstein, R. Ewerth:
  Image Analytics in Web Archives
  In: The Past Web, 2021, 141-151.

• K. Pustu-Iren, J. Sittel, R. Mauer, O. Bulgakowa, R. Ewerth:
  Automated Visual Content Analysis for Film Studies: Current Status and Challenges.
  Digital Humanities & Film Studies: Analyzing the Modalities of Moving Images, DHQ, 14.4, 2020.
  http://digitalhumanities.org/dhq/vol/14/4/000518/000518.html

• K. Pustu-Iren, M. Mühling, N. Korfhage, J. Bars, S. Bernhöft,  A. Hörth, B. Freisleben, R. Ewerth:
  Investigating Correlations of Inter-coder Agreement and Machine Annotation Performance for Historical Video Data
  In: International Conference on Theory and Practice of Digital Libraries (TPDL), Oslo, Norway, 2019, 107-114.

  https://arxiv.org/abs/1907.10450

• E. Müller-Budack, K. Pustu-Iren, R. Ewerth:
  Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification
  In: Proceedings of European Conference on Computer Vision (ECCV), München, 2018, 575-592.

  http://openaccess.thecvf.com/content_ECCV_2018/html/Eric_Muller-Budack_Geolocation_Estimation_of_ECCV_2018_paper.html

• E. Müller-Budack, K. Pustu-Iren, S. Diering, R. Ewerth:
  Finding Person Relations in Image Data of News Collections in the Internet Archive
  In Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 229-240. “Honorable Mention Award”

  https://arxiv.org/abs/1806.08246