Email: eric.muellertibeu
Phone: +49 511 762-19034
Postal address: Welfengarten 1 B, 30167 Hannover
Address for visitors: Lange Laube 28, 30159 Hannover, Room: 2.09
In my research, I address visual information extraction from images and videos. More specifically, I deal with object segmentation and classification, acquisition date and geolocation estimation, face recognition, and 3-D monocular depth calculation from individual 2-D images. In this context, I focus on investigating machine learning and deep learning methods.
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E. Müller-Budack, J. Theiner, S. Diering, M. Idahl, R. Ewerth:
Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency
In: ACM International Conference on Multimedia Retrieval (ICMR), Dublin, Ireland, 2020, accepted for publication (full paper) - D. Morris, E. Müller-Budack, R. Ewerth:
SlideImages: A Dataset for Educational Image Classification
In: European Conference on Information Retrieval (ECIR), Lisboa, Portugal, 2020, 289-296. https://doi.org/10.1007/978-3-030-45442-5_36 -
- E. Müller-Budack, J. Theiner, R. Rein, R. Ewerth:
"Does 4-4-2 exist?" -: An Analytics Approach to Understand and Classify Football Team Formations in Single Match Situations
In: Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports @ACM MM, Nice, France, 2019, 25-33. - 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. - 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” - 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, 2017, 1-26.
https://link.springer.com/article/10.1007/s11042-017-4962-9
- R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczyński, E. Hüllermeier:
Estimating Relative Depth in Single Images via Rankboost
In: Proceedings of IEEE 18th International Conference on Multimedia & Expo (ICME), Hongkong, IEEE Press, 2017, 919-924.
https://doi.org/10.1109/ICME.2017.8019434
- E. Müller, M. Springstein, R. Ewerth:
"When was this picture taken?" – Image Date Estimation in the Wild
In: Proceedings of 39th European Conference on Information Retrieval (ECIR), Aberdeen, UK, 2017, 619-625.
https://link.springer.com/chapter/10.1007/978-3-319-56608-5_57
- 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
http://dl.acm.org/citation.cfm?id=2912073
- A. Breitbarth, E. Müller, P. Kühmstedt, G. Notni, J. Denzler:
Phase unwrapping of fringe images for dynamic 3D measurements without additional pattern projection
In: SPIE Sensing Technology + Applications. International Society for Optics and Photonics, 2015, 948903-948903-10