Christian Otto (M.Sc.)

My research topic is the examination of cross-modal interrelations between visual and textual information. This includes the consideration of insights from communication sciences, the research design of deep learning applications to analyse multimodal information and the incorporation of this knowledge into search engines, such as for scientific publications or scientific videos. I am also responsible for the research group’s usability lab, which explores new possibilities of user interaction for TIB’s AV-Portal.

• C. Otto, M. Springstein, A. Anand, R. Ewerth:
  Characterization and Classification of Semantic Image-Text Relations
  In: International Journal on Multimedia Information Retrieval, Special Issue (Top papers of ACM ICMR 2019), Vol. 9, Issue 1, 2020, 31–45

  https://doi.org/10.1007/s13735-019-00187-6

• J. Shi, C. Otto, A. Hoppe, P. Holtz, R. Ewerth:
  Investigating Correlations of Automatically Extracted Multimodal Features and Lecture Video Quality.
  In: Proceedings of the 1st International Workshop on Search as Learning with Multimedia Information @ACM MM, Nice, France, 2019, 11-19.

  https://dl.acm.org/citation.cfm?doid=3347451.3356731

• H. Zhou, C. Otto, R. Ewerth:
  Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction
  In: International Conference on Theory and Practice of Digital Libraries (TPDL), Oslo, Norway, 2019, 327-335.

  https://link.springer.com/chapter/10.1007%2F978-3-030-30760-8_28

• C. Otto, M. Springstein, A. Anand, R. Ewerth:
  Understanding, Categorizing and Predicting Semantic Image-Text Relations 
  In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Ottawa, Canada, 2019, 168-176. Best Paper Award

  https://dl.acm.org/citation.cfm?id=3325049

• C. Otto, S. Holzki, R. Ewerth:
  ''Is this an example image?'' – Predicting the Relative Abstractness Level of Image and Text
  In: Proceedings of the 41st European Conference on Information Retrieval (ECIR), Cologne, Germany, 2019, 711-725.

  https://arxiv.org/abs/1901.07878

• J. Medrek, C. Otto, R. Ewerth:
  Recommending Scientific Videos based on Metadata Enrichment using Linked Open Data
  In Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 286-292.

  https://arxiv.org/abs/1806.07309

• M. Mühling, N. Korfhage, E. Müller, C. Otto, M. Springstein, T. Langelage, U. Veith, R. Ewerth, B. Freisleben: 
  Deep learning for content-based video retrieval in film and television production. 
  In Multimedia Tools and Applications, 1-26, 2017. 
  https://link.springer.com/article/10.1007/s11042-017-4962-9
   
• E. Müller, C. Otto, R. Ewerth: 
  Semi-supervised Identification of Rarely Appearing Persons in Video by Correcting Weak Labels
  In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), New York, ACM, 2016, 381-384