Prof. Dr. Ralph Ewerth

Leitung Forschungsgruppe Visual Analytics

E-Mail: ralph.ewerthtibeu

Telefon: 0511 762 19651

Fax: 0511 762 14272

Postanschrift: Welfengarten 1 B, 30167 Hannover

Besucheranschrift: Lange Laube 28, 30159 Hannover, Raum: 2.11

Die Forschungsschwerpunkte - mit einem besonderen Fokus auf Forschungsdaten - sind in den Bereichen Visual Analytics, Information and Media Retrieval, sowie Usability angesiedelt. Mehr

Prof. Dr. Ralph Ewerth bietet jedes Semester eine Lehrveranstaltung an der Fakultät für Elektrotechnik und Informatik der Leibniz Universität Hannover an. Des Weiteren betreut die Forschungsgruppe Visual Analytics Labor- sowie Abschlussarbeiten.  Mehr

Internationale Journale, Konferenzen und Workshops (peer-reviewed), sowie Monographien

2023

  • M. Roski, R. Sebastian, R. Ewerth, A. Hoppe, and A. Nehring:

    Dropout Prediction in a Web Environment Based on Universal Design for Learning

    In: Artificial Intelligence in Education - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings, 13916, pp. 515–527. Springer, 2023.

    https://doi.org/10.1007/978-3-031-36272-9_42
  • G. S. Cheema, S. Hakimov, E. Müller-Budack, C. Otto, J. A. Bateman, and R. Ewerth:

    Understanding Image-Text Relations and News Values for Multimodal News Analysis

    Frontiers in Artificial Intelligence, 6, pp. 1–29. Frontiers, 2023.

    https://doi.org/10.3389/frai.2023.1125533
  • E. Entrup, A. Eppelin, R. Ewerth, J. Hartwig, M. Tullney, M. Wohlgemuth, and A. Hoppe:

    Comparing different search methods for the open access journal recommendation tool B!SON

    International Journal on Digital Libraries, 2023.

    https://doi.org/10.1007/s00799-023-00372-3
  • E. Entrup, R. Ewerth, and A. Hoppe:

    A Comparison of Automated Journal Recommender Systems

    In: International Conference on Theory and Practice of Digital Libraries, TPDL 2023, Zadar, Croatia, September 26-29, 2023, pp. 230–238. Springer, 2023.

    https://doi.org/10.1007/978-3-031-43849-3_20
  • J. A. Ghauri, E. Müller-Budack, and R. Ewerth:

    Classification of Visualization Types and Perspectives in Patents

    In: International Conference on Theory and Practice of Digital Libraries, TPDL 2023, Zadar, Croatia, September 26-29, 2023. Springer, 2023.

    Accepted for Publication

    https://doi.org/10.48550/arXiv.2307.10471
  • W. Gritz, C. Otto, A. Hoppe, G. Pardi, Y. Kammerer, and R. Ewerth:

    Comparing Interface Layouts for the Presentation of Multimodal Search Results

    In: Conference on Human Information Interaction and Retrieval, CHIIR 2023, Austin, Texas, USA, March 19-23, 2023, pp. 321–327. ACM, 2023.

    https://doi.org/10.1145/3576840.3578335
  • M. Springstein, M. Stamatakis, M. Plank, J. Sittel, R. Mauer, O. Bulgakowa, R. Ewerth, and E. Müller-Budack:

    TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies

    In: ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, pp. 3195–3199. ACM, 2023.

    https://doi.org/10.1145/3539618.3591820
  • M. Stamatakis, W. Gritz, J. Oldag, A. Hoppe, S. Schanze, and R. Ewerth:

    Automatic Analysis of Student Drawings in Chemistry Classes

    In: International Conference on Artificial Intelligence in Education AIED 2023, Tokyo, Japan, July 3-7, 2023, pp. 824–829. Springer, 2023.

    https://doi.org/10.1007/978-3-031-36272-9_78
  • G. Tahmasebzadeh, S. Hakimov, R. Ewerth, and E. Müller-Budack:

    Multimodal Geolocation Estimation of News Photos

    In: European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, pp. 204–220. Springer, 2023.

    https://doi.org/10.1007/978-3-031-28238-6_14
  • G. Tahmasebzadeh, E. Müller-Budack, S. Hakimov, and R. Ewerth:

    MM-Locate-News: Multimodal Focus Location Estimation in News

    In: International Conference on MultiMedia Modeling, MMM 2023, Bergen, Norway, January 9-12, 2023, pp. 204–216. Springer, 2023.

    https://doi.org/10.1007/978-3-031-27077-2_16
  • S. Tahmasebi, S. Hakimov, R. Ewerth, and E. Müller-Budack:

    Improving Generalization for Multimodal Fake News Detection

    In: ACM International Conference on Multimedia Retrieval, ICMR 2023, Thessaloniki, Greece, June 12-15, 2023, pp. 581–585. ACM, 2023.

    https://doi.org/10.1145/3591106.3592230
  • J. Theiner and R. Ewerth:

    TVCalib: Camera Calibration for Sports Field Registration in Soccer

    In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023, pp. 1166–1175. IEEE, 2023.

    https://doi.org/10.1109/WACV56688.2023.00122
  • J. Theiner, N. Nommensen, J. Rhotert, M. Springstein, E. Müller-Budack, and R. Ewerth:

    Analyzing Results of Depth Estimation Models With Monocular Criteria

    In: Explainable AI for Computer Vision Workshop co-located with the IEEE/CFV Conference on Computer Vision and Pattern Recognition, XAI4CV@CVPR 2023, Vancouver, Canada, June 19, pp. 3738-3742. IEEE/CVF, 2023.

  • https://openaccess.thecvf.com/content/CVPR2023W/XAI4CV/html/Theiner_Analyzing_Results_of_Depth_Estimation_Models_With_Monocular_Criteria_CVPRW_2023_paper.html

2022

  • R. J. Sebastian, R. Ewerth, and A. Hoppe:

    Grade Level Filtering for Learning Object Search using Entity Linking

    In: Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 15, 2022, 3411, pp. 69–83. CEUR-WS.org, 2022.

    https://ceur-ws.org/Vol-3411/IWILDS-paper3.pdf
  • G. S. Cheema, S. Hakimov, A. Sittar, E. Müller-Budack, C. Otto, and R. Ewerth:

    MM-Claims: A Dataset for Multimodal Claim Detection in Social Media

    In: Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022, pp. 962–979. Association for Computational Linguistics, 2022.

    https://doi.org/10.18653/v1/2022.findings-naacl.72
  • S. Hakimov, G. S. Cheema, and R. Ewerth:

    TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes

    In: The 16th International Workshop on Semantic Evaluation (SemEval) co-loacated with NAACL 2022, Seattle, Washington, United States, July 14-15, 2022, pp. 756–760. Association for Computational Linguistics, 2022.

    https://doi.org/10.18653/v1/2022.semeval-1.105
  • E. Entrup, A. Eppelin, R. Ewerth, J. Hartwig, M. Tullney, M. Wohlgemuth, and A. Hoppe:

    B!SON: A Tool for Open Access Journal Recommendation

    In: International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20-23, 2022, pp. 357–364. Springer, 2022.

    https://doi.org/10.1007/978-3-031-16802-4_33
  • C. Otto, M. Stamatakis, A. Hoppe, and R. Ewerth:

    Predicting Knowledge Gain for MOOC Video Consumption

    In: International Conference on Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium, AIED 2022, Durham, UK, July 27-31, 2022, pp. 458–462. Springer, 2022.

    https://doi.org/10.1007/978-3-031-11647-6_92
  • J. Hoyer, A. Hoppe, Y. Kammerer, C. Otto, G. Pardi, M. Rokicki, R. Yu, S. Dietze, R. Ewerth, and P. Holtz:

    The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning

    Frontiers in Psychology, 13. Frontiers Media SA, 2022.

    https://doi.org/10.3389/fpsyg.2022.827748
  • C. Otto, M. Rokicki, G. Pardi, W. Gritz, D. Hienert, R. Yu, J. Hoyer, A. Hoppe, S. Dietze, P. Holtz, Y. Kammerer, and R. Ewerth:

    SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search

    In: Conference on Human Information Interaction and Retrieval, CHIIR 2022, Regensburg, Germany, March 14-18, 2022, pp. 347-352. ACM, 2022.

    https://doi.org/10.1145/3498366.3505835
  • J. Theiner, W. Gritz, E. Müller-Budack, R. Rein, D. Memmert, and R. Ewerth:

    Extraction of Positional Player Data from Broadcast Soccer Videos

    In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, pp. 1463–1473. IEEE, 2022.

    https://doi.org/10.1109/WACV51458.2022.00153
  • J. Theiner, E. Müller-Budack, and R. Ewerth:

    Interpretable Semantic Photo Geolocation

    In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, pp. 1474–1484. IEEE, 2022.

    https://doi.org/10.1109/WACV51458.2022.00154
  • S. Giancola, [...], J. Theiner, et al.:

    SoccerNet 2022 Challenges Results

    In: Workshop on Multimedia Content Analysis in Sports co-located with the ACM Multimedia Conference, MMSports@MM 2022, Lisboa, Portugal, October 14, pp. 75–86. ACM, 2022.

    https://doi.org/10.1145/3552437.3558545

2021

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

  • A. Brack, A. Hoppe, M. Stocker, S. Auer, R. Ewerth:
    Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies
    In: Proceedings of International Journal on Digital Libraries (IJDL), Special Issue (Best papers from TPDL 2019 and TPDL 2020), 2021.
    https://arxiv.org/abs/2102.06021 

  • 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, zur Veröffentlichung angenommen (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 

  • J. Lienen, E. Hüllermeier, R. Ewerth, N. Nommensen: 
    Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model 
    In: Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 14595-14604.
    https://openaccess.thecvf.com/content/CVPR2021/papers/Lienen_Monocular_Depth_Estimation_via_Listwise_Ranking_Using_the_Plackett-Luce_Model_CVPR_2021_paper.pdf 

  • C. Otto, R. Yu, G. Pardi, J. von Hoyer, M. Rokicki, A. Hoppe, P. Holtz, Y. Kammerer, S. Dietze, R. Ewerth:
    Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption
    In: Proceedings of International Conference on Artificial Intelligence in Education (AIED), Utrecht, Netherlands, 2021, 318-330.
    https://arxiv.org/pdf/2106.06244.pdf 

  • A. Hoppe, D. Morris, R. Ewerth:
    Evaluation of Automated Image Descriptions for Visually Impaired Students
    In: Proceedings of International Conference on Artificial Intelligence in Education (AIED), Utrecht, Netherlands, 2021, 196-201.
    arxiv.org/pdf/2106.15553.pdf

  • G. Tahmasebzadeh, E. Kacupaj, E. Müller-Budack, S. Hakimov, J. Lehmann, R. Ewerth:
    GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval
    In: Proceedings of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021, 2565-2569.
    arxiv.org/pdf/2104.14994.pdf

  • M. Springstein, E. Müller-Budack, R. Ewerth:
    QuTI! Quantifying Text-Image Consistency in Multimodal Documents
    In: Proceedings of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021, 2575-2579.
    arxiv.org/pdf/2104.13748.pdf

  • J. Ghauri, S. Hakimov, R. Ewerth:
    Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
    In: Proceedings of IEEE 22nd International Conference on Multimedia & Expo (ICME), 2021.
    arxiv.org/pdf/2104.11530.pdf

  • H. Kanafani, J. Ghauri, S. Hakimov, R. Ewerth:
    Unsupervised Video Summarization via Multi-source Features
    In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Taipei, Taiwan, 2021.
    arxiv.org/pdf/2105.12532.pdf

  • M. Springstein, E. Müller-Budack, R. Ewerth:
    Unsupervised Training Data Generation of Handwritten Formulas using Generative Adversarial Networks with Self-Attention
    In: Proceedings of Workshop on Multi-Modal Pre-Training for Multimedia Understanding, co-located with ACM International Conference on Multimedia Retrieval (ICMR), Taipei, Taiwan, 2021.
    arxiv.org/pdf/2106.09432.pdf

  • G. S. Cheema, S. Hakimov, E. Müller-Budack, R. Ewerth:
    A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods
    In: Proceedings of Workshop on Multi-Modal Pre-Training for Multimedia Understanding, co-located with ACM International Conference on Multimedia Retrieval (ICMR), Taipei, Taiwan, 2021.
    arxiv.org/pdf/2106.08829.pdf

  • A. Brack, D. Müller, A. Hoppe, R. Ewerth:
    Coreference Resolution in Research Papers from Multiple Domains
    In: Proceedings of European Conference on Information Retrieval (ECIR), Part 1, 2021, 79-97.
    https://doi.org/10.1007/978-3-030-72113-8_6 
    https://arxiv.org/pdf/2101.00884.pdf 

  • E. Müller-Budack, M. Springstein, K. Mrutzek, S. Hakimov, R. Ewerth:
    Ontology-driven Event Classification in Images
    In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021, 2928-2938.
    https://openaccess.thecvf.com/content/WACV2021/html/Muller-Budack_Ontology-Driven_Event_Type_Classification_in_Images_WACV_2021_paper.html

2020

  • E. Müller-Budack, J. Theiner, S. Diering, M. Idahl, S. Hakimov, R. Ewerth:
    Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency
    In: International Journal on Multimedia Information Retrieval, 2021, Vol. 10, Issue 2 (Top Papers from ICMR 2020)
    https://doi.org/10.1007/s13735-021-00207-4

  • G. S. Cheema, S. Hakimov, E. Müller-Budack, R. Ewerth:
    On the Role of Images for Analyzing Claims in Social Media
    In: Proceedings of 2nd Int’l CLEOPATRA Workshop on Cross-lingual Event-centric Open Analytics, co-located with Web Conference (WebConf), 2021, 32-46.
    http://ceur-ws.org/Vol-2829/paper3.pdf 

  • 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 (online event), 2020, 16-25. 
    Best Paper Award
    https://dl.acm.org/doi/pdf/10.1145/3372278.3390670  

  • K. Pustu-Iren, J. Sittel , R. Mauer, O. Bulgakowa, R. Ewerth: 
    Automated Visual Content Analysis for Film Studies: Current Status and Challenges 
    In: Digital Humanities Quarterly (DHQ), Volume 14, Issue 4, 2020.
    Vorschau auf: http://www.digitalhumanities.org/dhq/vol/14/4/000518/000518.html 

  • S. Schneider, M. Springstein, J. Rahnama, E. Hüllermeier, R. Ewerth, H. Kohle:
    The Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objects
    In: Workshop InfDH 2020: "Methoden und Anwendungen der Computational Humanities" @INFORMATIK 2020, Gesellschaft für Informatik eV, Karlsruhe, Germany (online event), 2020.
    https://dl.gi.de/handle/20.500.12116/34717 

  • J. Armitage, E. Kacupaj, G. Tahmasebzadeh, Swati, M. Maleshkova, R. Ewerth, J. Lehmann:
    MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
    In: Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), online event, 2020, 2967-2974.
    https://arxiv.org/abs/2008.06376 

  • A. Brack, A. Hoppe, M. Stocker, S. Auer, R. Ewerth:
    Requirements Analysis for an Open Research Knowledge Graph
    In: International Conference on Theory and Practice of Digital Libraries (TPDL), Lyon, France (online event), 2020, 3-18.
    https://arxiv.org/pdf/2005.10334.pdf

  • G. Tahmasebzadeh, S. Hakimov, E. Müller-Budack, R. Ewerth:
    A Feature Analysis for Multimodal News Retrieval
    In: 1st International Workshop on Cross-lingual Event-centric Open Analytics @the 17th Extended Semantic Web Conference (ESWC), Heraklion, Crete, Greece (online event), 2020, 43-56.
    Best Paper Award
    http://ceur-ws.org/Vol-2611/paper4.pdf  
    https://arxiv.org/pdf/2007.06390.pdf

  • 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

  • M. Tavakoli, S. Hakimov, R. Ewerth, G. Kismihok:
    A Recommender System For Open Educational Videos Based On Skill Requirements
    In: International Conference on Advanced Learning Technologies (ICALT),Tartu, Estonia (online event), 2020. 
    Best Paper Candidate
    arxiv.org/pdf/2005.10595.pdf

  • J. D'Souza, A. Hoppe, A. Brack, M. Y. Jaradeh, S. Auer, R. Ewerth:
    The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources
    In: Language Resources and Evaluation Conference (LREC), Marseille, France (online event), 2020, 2192-2203.
    https://arxiv.org/pdf/2003.01006.pdf

  • A. Brack, J. D’Souza, A. Hoppe, S. Auer, R. Ewerth:
    Domain-independent Extraction of Scientific Concepts from Research Articles
    In: European Conference on Information Retrieval (ECIR), Lisboa, Portugal, 2020, 251-266.  https://doi.org/10.1007/978-3-030-45439-5_17

    https://arxiv.org/pdf/2001.03067.pdf 

  • 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

    https://arxiv.org/pdf/2001.06823.pdf 

2019

  • 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

  • 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.

    https://arxiv.org/pdf/1910.00412

  • D. Morris, P. Tang, R. Ewerth:
    A Neural Approach for Text Extraction from Scholarly Figures
    In: International Conference on Document Analysis and Recognition (ICDAR), Sydney, Australia, 2019, 1438-1443.

  • 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

  • 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

2018

  • 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

  • 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

  • A. Hoppe, J. Hagen, H. Holzmann, G. Kniesel, R. Ewerth:
    Towards an Analytics Tool for Exploring Scientific Software and Related Publications
    Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 299-303.

    https://arxiv.org/abs/1806.07603 

  • M. Springstein, H. H. Nguyen, A. Hoppe, R. Ewerth:  
    TIB-arXiv: An Alternative Search Portal for the arXiv Pre-print Server
    In Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 295-298.

    https://arxiv.org/abs/1806.06796

  • A. Ceroni, M. Chang, R. Ewerth: 
    Mining Exoticism from Images via Fusion-based Networks
    In:  Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Yokohama, Japan, ACM, 2018, 37-45. Best Paper Candidate

    https://dl.acm.org/citation.cfm?doid=3206025.3206044 

  • A. Hoppe, P. Holtz, Y. Kammerer, R. Yu, S. Dietze, R. Ewerth: 
    Current Challenges for Studying Search as Learning Processes
    Linked Learning Workshop – Learning and Education with Web Data (LILE), in conjunction with ACM Conference on Web Science, Amsterdam, 2018

2017

  • C. A. Henning, R. Ewerth:
    Estimating the Information Gap between Textual and Visual Representations 
    In: Intenational Journal on Multimedia Information Retrieval (IJMIR), Springer, Invited paper (Top papers of  ACM ICMR 2017), Volume 7, Issue 1, 2018, 43-56
    https://link.springer.com/article/10.1007/s13735-017-0142-y
  • 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
     
  • C. A. Henning, R. Ewerth:

    Estimating the Information Gap between Textual and Visual Representations 
    In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Bucharest, Romania, ACM, 2017, 14-22.
    ACM ICMR 2017 “Best Multimodal Paper Award” 
    https://doi.org/10.1145/3078971.3078991

  • 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
     
  • R. Ewerth, M. Springstein, L.A. Phan-Vogtmann, J. Schütze:
    "Are Machines Better in Image Tagging?" – A User Study Adds to the Puzzle
    In: Proceedings of 39th European Conference on Information Retrieval (ECIR), Aberdeen, UK, 2017, 186-198.
    https://link.springer.com/chapter/10.1007/978-3-319-56608-5_15

 

2016

  • M. Springstein, R. Ewerth:
    On the Effects of Spam Filtering and Incremental Learning for Web-supervised Visual Concept Classification In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), New York, ACM, 2016, 377-380 
    http://dl.acm.org/citation.cfm?id=2912072
  •  E. Müller, C. Otto, and R. Ewerth:
    Semi-supervised Identification of Rarely Appearing Persons in Video by Correcting Weak Labels
    In: International Conference on Multimedia Retrieval, ICMR 2016, New York, New York, USA, June 6-9, 2016, pp. 381–384. ACM, 2016.
    https://doi.org/10.1145/2911996.2912073
  • Mühling, M. Meister, N. Korfhage, J. Wehling, A. Hörth, R. Ewerth, B.

    Freisleben: Content-Based Video  Retrieval in Historical Collections of the German Broadcasting  Archive

    In: Theory and Practice of Digital Libraries, TPDL, Hannover, 2016, 67-78

2015

  • M. Mühling, R. Ewerth, B. Freisleben:
    Improving Cross-Domain Concept Detection via Object-based Features
    In: Proceedings of 18th International Conference on Computer Analysis of Images and Patterns, Malta, Springer, 2015, 359-370
     
  • R. Ewerth, A. Balz, J. Gehlhaar , K. Dembczyński, E. Hüllermeier: 
    Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches
    In: Proceedings of 25th Workshop on Computational Intelligence, Dortmund, KIT Scientific Publishing, 2015, 235-239

2012

  • R. Ewerth, K. Ballafkir, D. Seiler, M. Mühling, B. Freisleben:
    Long-Term Web-Supervised Learning via Random Savannas for Concept Detection in Images
    In: IEEE Transactions on Multimedia, Special Issue on “Learning Semantics from Web Ressources”, Volume 14 Issue 4, Part 1, 2012, 1008-1020
     
  • R. Ewerth, M. Mühling, B. Freisleben:
    Robust Video Content Analysis via Transductive Learning
    In: ACM Transactions on Intelligent Systems and Technology, Special Issue on Intelligent Multimedia Systems and Technology Part II, Volume 3, No. 3, Article No. 41, 2012, 1-26
     
  • M. Mühling, R. Ewerth, J. Zhou, B. Freisleben:
    Multimodal Video Concept Detection via Bag of Auditory Words and Multiple Kernel Learning
    In: Proceedings of 18th International Conference on MultiMedia Modelling (MMM 2012), Klagenfurt, Austria, Lecture Notes on Computer Science, Volume 7131, Springer, 2012, 40-50
     
  • P. Abend, T. Thielmann, R. Ewerth, D. Seiler, M. Mühling, J. Döring, M. Grauer, B. Freisleben: 
    Geobrowsing Behaviour in Google Earth – A Semantic Video Content Analysis of On-screen Navigation
    In: Proceedings of 2012 Geoinformatik Forum, 2012, 2-13
     

2011

  • M. Mühling, R. Ewerth, B. Shi, B. Freisleben: 
    Multi-class Object Detection via Hough Forests Using Local Histograms of Visual Words
    In: Proceedings of 14th Int’l Conference on Computer Analysis of Images and Patterns (CAIP), Seville, Spain, Lecture Notes on Computer Science (LNCS), Volume 6854, Springer, 2011, 386-393
     
  • M. Mühling, R. Ewerth, B. Shi, B. Freisleben: 
    On the Spatial Extents of SIFT Descriptors for Visual Concept Detection
    In: Proceedings of 8th Int’l Conference on Computer Vision Systems (ICVS), Sophia Antipolis, Lecture Notes on Computer Science (LNCS), Volume 6962, Springer, 2011, 71-80
     
  • D. Seiler, E. Juhnke, R. Ewerth, M. Grauer, B. Freisleben: 
    Efficient Data Transmission Between Multimedia Web Services via Aspect-Oriented Programming
    In: Proceedings of ACM International Conference on Multimedia Systems (MMSys 2011), San Jose, USA, ACM Press, 2011, 93-104
     
  • E. Juhnke, D. Seiler, R. Ewerth, M. Smith, B. Freisleben: 
    Request/Response Aspects for Web Services
    In: Proceedings of 23rd International Conference on Advanced Information Systems Engineering (CAiSE) 2011, London, United Kingdom, Lecture Notes on Computer Science (LNCS), Volume 6741, Springer, 627-641
     
  • P. Abend, T. Thielmann, R. Ewerth, D. Seiler, M. Mühling, J. Döring, M. Grauer, B. Freisleben: 
    Geobrowsing the Globe: A Geovisual Analysis of Google Earth Usage
    In: Proceedings of Linking GeoVisualization with Spatial Analysis and Modeling (GeoViz) 2011, Hamburg, 1-3
     

2010

  • T. Stadelmann, Y. Wang, M. Smith, R. Ewerth, B. Freisleben:
    Rethinking Algorithm Design and Development in Speech Processing
    In: Proceedings of 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010, 4476-4479
     
  • R. Ewerth, J. P. Harries, B. Freisleben: 
    Mobile OCR on the iPhone for Different Types of Text Documents
    In: Proceedings of 2nd International Workshop on Mobile Multimedia Processing (in conjunction with 20th International Conference on Pattern Recognition), Istanbul, Turkey, 2010, 1-8
     

2009

  • R. Ewerth, B. Freisleben: 
    Performance Prediction for Unsupervised Video Indexing
    In: Proceedings of 13th International Conference on Computer Analysis of Images and Patterns, Münster, 2009, 1036-1043
     
  • R. Ewerth, B. Freisleben:
    Unsupervised Detection of Gradual Shot Changes with Motion-Based False Alarm Removal
    In: Proceedings of 8th International Conference on Advanced Concepts for Intelligent Vision Systems, Bordeaux, 2009, 253-264
     
  • M. Mühling, R. Ewerth, B. Freisleben:
    Improving Semantic Video Retrieval via Object-Based Features
    In: Proceedings of 3rd IEEE International Conference on Semantic Computing, San Diego, USA, 2009, 109-115
     
  • M. Schwalb, R. Ewerth, B. Freisleben:
    Fast Motion Estimation on Graphics Hardware for H.264 Video Encoding
    In: IEEE Transactions on Multimedia, Volume 11, No. 1, January 2009, 1-10
     
  • S. Heinzl, D. Seiler, E. Juhnke, T. Stadelmann, R. Ewerth, M. Grauer, B. Freisleben:
    A Scalable Service-Oriented Architecture for Multimedia Analysis, Synthesis, and Consumption
    In: International Journal of Web and Grid Services, Inderscience Publishers, Vol. 5, Issue 3, 2009, 219-260
     

2008

  • R. Ewerth: 
    Robust Video Content Analysis via Transductive Learning Methods 
    Dissertation. Philipps-Universität Marburg, Germany, 2008. 
    Südwestdeutscher Verlag für Hochschulschriften, Stuttgart, ISBN: 978-3-8381-0120-0 
    Online: http://archiv.ub.uni-marburg.de/diss/z2008/0478/
     
  • D. Seiler, S. Heinzl, E. Juhnke, R. Ewerth, M. Grauer, B. Freisleben:
    Efficient Data Transmission in Service Workflows for Distributed Video Content Analysis
    Best Paper Candidate. In: Proceedings of the 6th International Conference on Advances in Mobile Computing & Multimedia (MoMM2008), ACM and OCG Book Series, 2008, 7-14
     

2007

  • R. Ewerth, M. Mühling, B. Freisleben:
    Self-Supervised Learning of Face Appearances in TV Casts and Movies
    Invited Paper (Best papers from IEEE International Symposium on Multimedia ‘06): International Journal on Semantic Computing, World Scientific, June 2007, 185-204
     
  • R. Ewerth, B. Freisleben:
    Adapting Appearance Models of Semantic Concepts for a Particular Video via Transductive Learning
    In: Proceedings of 13th ACM International Workshop on Multimedia Information Retrieval, Augsburg, Germany, ACM Press, 2007, 187-196
     
  • R. Ewerth, M. Schwalb, P. Tessmann, B. Freisleben:
    Segmenting Moving Objects in the Presence of Camera Motion
    In: Proceedings of 14th International Conference on Image Analysis and Processing Modena, Italy, IEEE Press, 2007, 819-824
     
  • R. Ewerth, B. Freisleben:
    Semi-Supervised Learning for Semantic Video Retrieval
    In: Proceedings of ACM International Conference on Image and Video Retrieval (CIVR), Amsterdam, The Netherlands, ACM Press, 2007, 154-161
     
  • R. Ewerth, M. Schwalb, B. Freisleben:
    Using Depth Features to Retrieve Monocular Video Shots
    In: Proceedings of ACM International Conference on Image and Video Retrieval (CIVR), Amsterdam, The Netherlands, ACM Press, 2007, 210-217
     
  • M. Mühling, R. Ewerth, T. Stadelmann, B. Freisleben, R. Weber, K. Mathiak
    Semantic Video Analysis for Psychological Research on Violence in Computer Games
    In: Proceedings of ACM International Conference on Image and Video Retrieval (CIVR), Amsterdam, The Netherlands, ACM Press, 2007, 611-618
     

2006

  • R. Ewerth, M. Mühling, B. Freisleben:
    Self-Supervised Learning of Face Appearances in TV Casts and Movies 
    Best Paper Candidate. 
    In: Proceedings of the 6th IEEE International Symposium on Multimedia 2006, San Diego, USA, IEEE Press, 2006, 78-85
     
  • R. Ewerth, B. Freisleben: 
    Self-Supervised Learning for Robust Video Indexing
    In: IEEE 7th International Conference on Multimedia & Expo, Toronto, Canada, IEEE Press, 2006, 1749-1752
     
  • M. Smith, B. Klose, R. Ewerth, T. Friese, M. Engel, B. Freisleben:
    Runtime Integration of Reconfigurable Hardware in Service-Oriented Grids
    In: Proceedings of the IEEE International Conference on Web Services (ICWS), Chicago, USA, IEEE Press, 2006, 945-948
     

2004

  • R. Ewerth, T. Friese, M. Grube, B. Freisleben: 
    Grid Services for Distributed Video Cut Detection
    In: Proceedings of the 6th IEEE Int. Symposium on Multimedia Software Engineering, Miami, USA, IEEE Press, 2004, 164-168
     
  • J. Gllavata, R. Ewerth, B. Freisleben: 
    A Text Detection, Localization and Segmentation System for OCR in Images
    In: Proceedings of the 6th IEEE Int. Symposium on Multimedia Software Engineering, Miami, USA, IEEE Press, 2004, 310-317
     
  • J. Gllavata, R. Ewerth, B. Freisleben:
    Tracking Text in MPEG Videos
    In: Proceedings of 12th ACM Conference on Multimedia, New York City, USA, ACM Press, 2004, 240-243
     
  • R. Ewerth, B. Freisleben:
    Video Cut Detection without Thresholds
    In: Proc. of 11th Workshop on Signals, Systems and Image Processing, Poznan, Poland, PTETiS, 2004, 227-230
     
  • R. Ewerth, B. Freisleben:
    Improving Cut Detection in MPEG Videos by GOP-Oriented Frame Difference Normalization
    In: Proceedings of 17th International Conference on Pattern Recognition, Vol. 2, Cambridge, UK, IAPR, IEEE Press, 2004, 807-810
     
  • J. Gllavata, R. Ewerth, B. Freisleben:
    Text Detection in Images Based on Unsupervised Classification of High-Frequency Wavelet Coefficients 
    In: Proc.of 17th International Conf. on Pattern Recognition, Vol. 1, Cambridge, UK, IAPR, IEEE Press, 2004, 425-428
     
  • R. Ewerth, M. Schwalb, P. Tessmann, B. Freisleben:
    Estimation of Arbitrary Camera Motion in MPEG Videos
    In: Proceedings of 17th International Conference on Pattern Recognition, Vol. 1, Cambridge, UK, IAPR, IEEE Press, 2004, 512-515
     
  • J. Gllavata, R. Ewerth, T. Stefi, B. Freisleben:
    Unsupervised Text Segmentation Using Color and Wavelet Features
    In: Proceedings of the 3rd International Conference on Image and Video Retrieval, Dublin, Ireland, LNCS 3115, Springer-Verlag, 2004, 216-224
     

2003

  • J. Gllavata, R. Ewerth, B. Freisleben:
    Finding Text in Images via Local Thresholding
    In: Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2003), Darmstadt, Germany, IEEE Press, 2003, 539-542
     
  • R. Ewerth, B. Freisleben:
    Frame Difference Normalization: an Approach to Reduce Error Rates of Cut Detection Algorithms for MPEG Videos
    In: Proceedings of the IEEE International Conference on Image Processing, Vol. II, Barcelona, Spain, IEEE Press, 2003, 1009-1012
     
  • J. Gllavata, R. Ewerth, B. Freisleben:
    A Robust Algorithm for Text Detection in Images
    In: Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, Rome, Italy, 2003, 611-616

National Conferences and Workshops (peer-reviewed)

  • D. Seiler, R. Ewerth, S. Heinzl, T. Stadelmann, M. Mühling, B. Freisleben, M. Grauer: 
    Eine service-orientierte Grid-Infrastruktur zur Unterstützung medienwissenschaftlicher Filmanalyse 
    In: Proceedings of GeNeMe Workshop, Gemeinschaften in neuen Medien, Dresden, 2009

National Journals & Conferences (Abstract was peer-reviewed)

  • M. Mühling, M. Meister, R. Ewerth, B. Freisleben:
    Automatische Videoanalyse zur Erschließung von historischem TV-Material 
    In: info7 MEDIEN | ARCHIVE | INFORMATION, Jahrgang 30, Heft 2, 2015, Münster, 23-26
     
  • R. Ewerth, B. Freisleben: 
    Cloud-basierte Softwaredienste zur Suche in Bild- und Videoarchiven 
    In: FKT, Fachzeitschrift für Film, Fernsehen und Kino, Germany, 11/2014, 569-574

TRECVID Evaluations (Int’l Workshop, presuming a system submission)

International and National Journals, Book Chapters, Conferences and Workshops (without peer-review)

  • R. Ewerth, B. Freisleben:
    Automatic Classification of State Heads and Common People?
    In: Ludes, P. & Herzog, O. (ed.): Algorithms of Power – Key Invisibles, LIT Verlag, Münster, Germany, 2011, 93-114
     
  • R. Ewerth, M. Mühling, T. Stadelmann, D. Seiler, B. Freisleben:
    Multimedia Computing
    In: Research Report, High-Performance Computing in Hessen 2009, Darmstadt, 140-143
     
  • R. Ewerth, M. Mühling, T. Stadelmann, J. Gllavata, M. Grauer, B. Freisleben:
    Videana: A Software Tool for Scientific Film Studies
    In: Proceedings of International Workshop on Digital Tools in Film Studies, Siegen, Transcript Verlag, Bielefeld, Germany, 2009, 101-116
     
  • R. Ewerth, B. Freisleben:
    Verfahren zur automatischen Annotation und Erschließung von Videomaterial
    In: „Benutzerfreundlich – rationell – standardisiert. Aktuelle Anforderungen an archivische Erschließung und Findemittel“, Hrsg. Frank M. Bischoff, Tagungsband des 11. Archivwissenschaftlichen Kolloquiums 2006, Archivschule Marburg, 2007, 259-280
     
  • R. Ewerth, B. Freisleben:
    Computerunterstützte Filmanalyse mit Videana
    In: Augen-Blick: Hefte zur Medienwissenschaft, Heft 39, Schüren-Verlag, 2007, 54-66
     
  • R. Ewerth, B. Freisleben:
    Gesichtsdetektion und -erkennung in Bildern für die medienwissenschaftliche Analyse
    In: „Gesichtsdetektionen in den Medien des 20. Jahrhunderts“, W. Beilenhoff, W. Hülk, K. Kreimeier, und M. Erstic (eds.), Universi Verlag, 2006, 156-172
     
  • R. Ewerth, J. Gllavata, M. Gollnick, F. Mansouri, E. Papalilo, R. Sennert, J. Wagner, B. Freisleben, M. Grauer:
    Methoden und Werkzeuge zur rechnergestützten medienwissenschaftlichen Analyse
    In: Siegener Periodicum zur Internationalen Empirischen Literaturwissenschaft, 20, H. 2, 2003, 306-320
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