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Dr. Christian Otto
Dr. Christian Otto
Institute of Medical Statistics, Computer and Data Sciences, University Hospital Jena
Dirección de correo verificada de med.uni-jena.de
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Deep learning for content-based video retrieval in film and television production
M Mühling, N Korfhage, E Müller, C Otto, M Springstein, T Langelage, ...
Multimedia Tools and Applications 76, 22169-22194, 2017
372017
Understanding, categorizing and predicting semantic image-text relations
C Otto, M Springstein, A Anand, R Ewerth
Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019
352019
Characterization and classification of semantic image-text relations
C Otto, M Springstein, A Anand, R Ewerth
International Journal of Multimedia Information Retrieval 9 (1), 31-45, 2020
242020
Investigating correlations of automatically extracted multimodal features and lecture video quality
J Shi, C Otto, A Hoppe, P Holtz, R Ewerth
Proceedings of the 1st international workshop on search as learning with …, 2019
162019
The search as learning spaceship: Toward a comprehensive model of psychological and technological facets of search as learning
J Von Hoyer, A Hoppe, Y Kammerer, C Otto, G Pardi, M Rokicki, R Yu, ...
Frontiers in Psychology 13, 827748, 2022
152022
Predicting knowledge gain during web search based on multimedia resource consumption
C Otto, R Yu, G Pardi, J von Hoyer, M Rokicki, A Hoppe, P Holtz, ...
International Conference on Artificial Intelligence in Education, 318-330, 2021
152021
MM-claims: a dataset for multimodal claim detection in social media
GS Cheema, S Hakimov, A Sittar, E Müller-Budack, C Otto, R Ewerth
arXiv preprint arXiv:2205.01989, 2022
132022
Sal-lightning dataset: Search and eye gaze behavior, resource interactions and knowledge gain during web search
C Otto, M Rokicki, G Pardi, W Gritz, D Hienert, R Yu, J von Hoyer, ...
Proceedings of the 2022 Conference on Human Information Interaction and …, 2022
92022
Understanding image-text relations and news values for multimodal news analysis
GS Cheema, S Hakimov, E Müller-Budack, C Otto, JA Bateman, R Ewerth
Frontiers in Artificial Intelligence 6, 1125533, 2023
62023
“Is This an Example Image?”–Predicting the Relative Abstractness Level of Image and Text
C Otto, S Holzki, R Ewerth
European Conference on Information Retrieval, 711-725, 2019
62019
Computational approaches for the interpretation of image-text relations
R Ewerth, C Otto, E Müller-Budack, J Pflaeging, J Wildfeuer, JA Bateman, ...
Empirical Multimodality Research: Methods, Evaluations, Implications, 109-138, 2021
42021
Recommending scientific videos based on metadata enrichment using linked open data
J Medrek, C Otto, R Ewerth
Digital Libraries for Open Knowledge: 22nd International Conference on …, 2018
42018
Semi-supervised identification of rarely appearing persons in video by correcting weak labels
E Müller, C Otto, R Ewerth
Proceedings of the 2016 ACM on International Conference on Multimedia …, 2016
32016
Comparing interface layouts for the presentation of multimodal search results
W Gritz, C Otto, A Hoppe, G Pardi, Y Kammerer, R Ewerth
Proceedings of the 2023 Conference on Human Information Interaction and …, 2023
22023
Automatic understanding of multimodal content for Web-based learning
CR Otto
Hannover: Institutionelles Repositorium der Gottfried Wilhelm Leibniz …, 2023
2023
Predicting Knowledge Gain for MOOC Video Consumption
C Otto, M Stamatakis, A Hoppe, R Ewerth
International Conference on Artificial Intelligence in Education, 458-462, 2022
2022
Visual Summarization of Scholarly Videos Using Word Embeddings and Keyphrase Extraction
H Zhou, C Otto, R Ewerth
Digital Libraries for Open Knowledge: 23rd International Conference on …, 2019
2019
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Artículos 1–17