| 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 | 37 | 2017 |
| 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 | 33 | 2019 |
| 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 | 22 | 2020 |
| 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 | 14 | 2022 |
| 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 | 14 | 2019 |
| 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 | 13 | 2021 |
| 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 | 12 | 2022 |
| 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 | 7 | 2022 |
| “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 | 6 | 2019 |
| 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 | 5 | 2023 |
| 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 | 4 | 2021 |
| 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 | 4 | 2018 |
| 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 | 3 | 2016 |
| 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 | 1 | 2023 |
| 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 |
