Dr. Christian Otto | RGVA Publications

Number of publications: 17

2023

[1]

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

        @article{Cheema2023,
  title = {Understanding Image-Text Relations and News Values for Multimodal News Analysis},
  author = {Cheema, Gullal Singh and Hakimov, Sherzod and M{\"u}ller-Budack, Eric and Otto, Christian and Bateman, John A and Ewerth, Ralph},
  journal = {Frontiers in Artificial Intelligence},
  volume = {6},
  pages = {1--29},
  publisher = {Frontiers},
  year = {2023},
  doi = {10.3389/frai.2023.1125533}
}

[2]

W. Gritz, C. Otto, A. Hoppe, G. Pardi, Y. Kammerer, and R. Ewerth:

Comparing Interface Layouts for the Presentation of Multimodal Search Results

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

https://doi.org/10.1145/3576840.3578335

Bib

        @inproceedings{DBLP:conf/chiir/GritzOHPKE23,
  author = {Gritz, Wolfgang and Otto, Christian and Hoppe, Anett and Pardi, Georg and Kammerer, Yvonne and Ewerth, Ralph},
  booktitle = {{ACM} {SIGIR} Conference on Human Information Interaction and Retrieval, {CHIIR} 2023, Austin, TX, USA, March 19-23, 2023},
  title = {Comparing Interface Layouts for the Presentation of Multimodal Search Results},
  year = {2023},
  editor = {Gwizdka, Jacek and Rieh, Soo Young},
  pages = {321--327},
  publisher = {{ACM}},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/chiir/GritzOHPKE23.bib},
  doi = {10.1145/3576840.3578335},
  timestamp = {Sat, 30 Sep 2023 09:36:49 +0200},
  url_ = {https://doi.org/10.1145/3576840.3578335}
}

[3]

C. Otto:

Automatic Understanding of Multimodal Content for Web-based Learning

Gottfried Wilhelm Leibniz Universität Hannover, pp. 1–189, 2023.

https://doi.org/https://doi.org/10.15488/13887

Bib

        @phdthesis{Otto2023,
  author = {Otto, Christian},
  school = {Gottfried Wilhelm Leibniz Universit{\"a}t Hannover},
  title = {Automatic Understanding of Multimodal Content for Web-based Learning},
  year = {2023},
  doi = {https://doi.org/10.15488/13887},
  groups = {own works},
  keywords = {ownwork, dissertation},
  pages = {1--189}
}

2022

[1]

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

Bib

        @inproceedings{Cheema2022,
  author = {Cheema, Gullal Singh and Hakimov, Sherzod and Sittar, Abdul and M{\"{u}}ller{-}Budack, Eric and Otto, Christian and Ewerth, Ralph},
  booktitle = {Findings of the Association for Computational Linguistics: {NAACL} 2022, Seattle, WA, United States, July 10-15, 2022},
  title = {MM-Claims: {A} Dataset for Multimodal Claim Detection in Social Media},
  year = {2022},
  editor_ = {Marine Carpuat and Marie{-}Catherine de Marneffe and Iv{\'{a}}n Vladimir Meza Ru{\'{\i}}z},
  pages = {962--979},
  publisher = {Association for Computational Linguistics},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/naacl/CheemaHSMOE22.bib},
  doi = {10.18653/v1/2022.findings-naacl.72},
  groups = {own works}
}

[2]

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: ACM SIGIR 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

Bib

        @inproceedings{DBLP:conf/chiir/OttoRPGH0HHDHKE22,
  author = {Otto, Christian and Rokicki, Markus and Pardi, Georg and Gritz, Wolfgang and Hienert, Daniel and Yu, Ran and von Hoyer, Johannes and Hoppe, Anett and Dietze, Stefan and Holtz, Peter and Kammerer, Yvonne and Ewerth, Ralph},
  booktitle = {{ACM} {SIGIR} Conference on Human Information Interaction and Retrieval, {CHIIR} 2022, Regensburg, Germany, March 14 - 18, 2022},
  title = {SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search},
  year = {2022},
  editor = {Elsweiler, David},
  pages = {347--352},
  publisher = {{ACM}},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/chiir/OttoRPGH0HHDHKE22.bib},
  doi = {10.1145/3498366.3505835},
  timestamp = {Thu, 25 Apr 2024 01:00:00 +0200},
  url_ = {https://doi.org/10.1145/3498366.3505835}
}

[3]

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

Bib

        @inproceedings{otto2022predicting,
  author = {Otto, Christian and Stamatakis, Markos and Hoppe, Anett and Ewerth, Ralph},
  editor_ = {Maria Mercedes T. Rodrigo and Noburu Matsuda and Alexandra I. Cristea and Vania Dimitrova},
  title = {Predicting Knowledge Gain for {MOOC} Video Consumption},
  booktitle = {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},
  series_ = {Lecture Notes in Computer Science},
  volume_ = {13356},
  pages = {458--462},
  publisher = {Springer},
  year = {2022},
  doi = {10.1007/978-3-031-11647-6_92},
  timestamp = {Mon, 08 Aug 2022 21:23:09 +0200},
  biburl = {https://dblp.org/rec/conf/aied/OttoSHE22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  keywords = {ownwork}
}

[4]

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

Bib

        @article{von_Hoyer_2022,
  doi = {10.3389/fpsyg.2022.827748},
  url_ = {https://doi.org/10.3389/fpsyg.2022.827748},
  year = {2022},
  month = mar,
  publisher = {Frontiers Media {SA}},
  volume = {13},
  author = {von Hoyer, Johannes and Hoppe, Anett and Kammerer, Yvonne and Otto, Christian and Pardi, Georg and Rokicki, Markus and Yu, Ran and Dietze, Stefan and Ewerth, Ralph and Holtz, Peter},
  title = {The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning},
  journal = {Frontiers in Psychology},
  keywords = {ownwork}
}

2021

[1]

R. Ewerth, C. Otto, and E. Müller-Budack:

Computational Approaches for the Interpretation of Image-text Relations

Empirical Multimodality Research: Methods, Evaluations, Implications, pp. 109–138. De Gruyter, 2021.

https://doi.org/10.1515/9783110725001-005

Bib

        @inbook{Ewerth2021,
  author = {Ewerth, Ralph and Otto, Christian and M{\"{u}}ller{-}Budack, Eric},
  editor_ = {Jana Pflaeging and Janina Wildfeuer and John A. Bateman},
  pages = {109--138},
  publisher = {De Gruyter},
  title = {Computational Approaches for the Interpretation of Image-text Relations},
  year = {2021},
  booktitle = {Empirical Multimodality Research: Methods, Evaluations, Implications},
  doi = {10.1515/9783110725001-005},
  groups = {own works},
  keywords = {ownwork},
  url_ = {https://doi.org/10.1515/9783110725001-005}
}

[2]

C. Otto, R. Yu, G. Pardi, J. Hoyer, M. Rokicki, A. Hoppe, P. Holtz, Y. Kammerer, S. Dietze, and R. Ewerth:

Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption

In: International Conference on Artificial Intelligence in Education, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, pp. 318–330. Springer, 2021.

https://doi.org/10.1007/978-3-030-78292-4_26

Bib

        @inproceedings{DBLP:conf/aied/Otto0PHRHHKDE21,
  author = {Otto, Christian and Yu, Ran and Pardi, Georg and von Hoyer, Johannes and Rokicki, Markus and Hoppe, Anett and Holtz, Peter and Kammerer, Yvonne and Dietze, Stefan and Ewerth, Ralph},
  booktitle = {International Conference on Artificial Intelligence in Education, {AIED} 2021, Utrecht, The Netherlands, June 14-18, 2021},
  title = {Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption},
  year = {2021},
  pages = {318--330},
  publisher = {Springer},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/aied/Otto0PHRHHKDE21.bib},
  doi = {10.1007/978-3-030-78292-4\_26},
  editor_ = {Ido Roll and Danielle S. McNamara and Sergey A. Sosnovsky and Rose Luckin and Vania Dimitrova},
  series_ = {Lecture Notes in Computer Science},
  timestamp = {Thu, 25 Apr 2024 01:00:00 +0200},
  url_ = {https://doi.org/10.1007/978-3-030-78292-4\_26},
  volume_ = {12748}
}

2020

[1]

C. Otto, M. Springstein, A. Anand, and R. Ewerth:

Characterization and Classification of Semantic Image-Text Relations

International Journal of Multimedia Information Retrieval, 9(1), pp. 31–45, 2020.

Invited Paper (Best Papers of ACM ICMR 2019)

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

Bib

        @article{otto2020characterization,
  author = {Otto, Christian and Springstein, Matthias and Anand, Avishek and Ewerth, Ralph},
  title = {Characterization and Classification of Semantic Image-Text Relations},
  journal = {International Journal of Multimedia Information Retrieval},
  volume = {9},
  number = {1},
  pages = {31--45},
  year = {2020},
  doi = {10.1007/s13735-019-00187-6},
  timestamp = {Fri, 14 May 2021 08:32:58 +0200},
  biburl = {https://dblp.org/rec/journals/ijmir/OttoSAE20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  keywords = {ownwork},
  awards_de = {Invited Paper (Best Papers of ACM ICMR 2019)},
  awards_en = {Invited Paper (Best Papers of ACM ICMR 2019)}
}

2019

[1]

C. Otto, M. Springstein, A. Anand, and R. Ewerth:

Understanding, Categorizing and Predicting Semantic Image-Text Relations

In: International Conference on Multimedia Retrieval, ICMR 2019, Ottawa, ON, Canada, June 10-13, 2019, pp. 168–176. ACM, 2019.

Best Paper Award

https://doi.org/10.1145/3323873.3325049

Bib

        @inproceedings{otto2019understanding,
  author = {Otto, Christian and Springstein, Matthias and Anand, Avishek and Ewerth, Ralph},
  editor_ = {Abdulmotaleb El{-}Saddik and Alberto Del Bimbo and Zhongfei Zhang and Alexander G. Hauptmann and K. Sel{\c{c}}uk Candan and	Marco Bertini and	Lexing Xie and	Xiao{-}Yong Wei},
  title = {Understanding, Categorizing and Predicting Semantic Image-Text Relations},
  booktitle = {International Conference on Multimedia  Retrieval, {ICMR} 2019, Ottawa, ON, Canada, June 10-13, 2019},
  pages = {168--176},
  publisher = {{ACM}},
  year = {2019},
  doi = {10.1145/3323873.3325049},
  timestamp = {Wed, 25 Sep 2019 18:05:42 +0200},
  biburl = {https://dblp.org/rec/conf/mir/OttoSAE19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  keywords = {ownwork},
  awards_de = {Best Paper Award},
  awards_en = {Best Paper Award}
}

[2]

J. Shi, C. Otto, A. Hoppe, P. Holtz, and R. Ewerth:

Investigating Correlations of Automatically Extracted Multimodal Features and Lecture Video Quality

In: International Workshop on Search as Learning with Multimedia Information, SALMM 2019, pp. 11–19. ACM, 2019.

https://doi.org/10.1145/3347451.3356731

Bib

        @inproceedings{shi2019investigating,
  author = {Shi, Jianwei and Otto, Christian and Hoppe, Anett and Holtz, Peter and Ewerth, Ralph},
  title = {Investigating Correlations of Automatically Extracted Multimodal Features and Lecture Video Quality},
  year = {2019},
  isbn = {9781450369190},
  publisher = {{ACM}},
  address = {New York, NY, USA},
  doi = {10.1145/3347451.3356731},
  booktitle = {International Workshop on Search as Learning with Multimedia Information, {SALMM} 2019},
  pages = {11--19},
  numpages = {9},
  keywords = {ownwork},
  location = {Nice, France},
  series_ = {SALMM '19}
}

[3]

H. Zhou, C. Otto, and R. Ewerth:

Visual Summarization of Scholarly Videos Using Word Embeddings and Keyphrase Extraction

In: International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Oslo, Norway, September 9-12, 2019, pp. 327–335. Springer, 2019.

https://doi.org/10.1007/978-3-030-30760-8__28

Bib

        @inproceedings{zhou2019visual,
  author = {Zhou, Hang and Otto, Christian and Ewerth, Ralph},
  title = {Visual Summarization of Scholarly Videos Using Word Embeddings and Keyphrase Extraction},
  booktitle = {International Conference on Theory and Practice of Digital Libraries, {TPDL} 2019, Oslo, Norway, September 9-12, 2019},
  series_ = {Lecture Notes in Computer Science},
  volume_ = {11799},
  pages = {327--335},
  publisher = {Springer},
  year = {2019},
  doi = {10.1007/978-3-030-30760-8__28},
  timestamp = {Tue, 29 Dec 2020 18:27:59 +0100},
  biburl = {https://dblp.org/rec/conf/ercimdl/ZhouOE19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  keywords = {ownwork}
}

[4]

C. Otto, S. Holzki, and R. Ewerth:

Is This an Example Image? - Predicting the Relative Abstractness Level of Image and Text

In: European Conference on Information Retrieval, ECIR 2019, Cologne, Germany, April 14-18, 2019, pp. 711–725. Springer, 2019.

https://doi.org/10.1007/978-3-030-15712-8_46

Bib

        @inproceedings{otto2019example,
  author = {Otto, Christian and Holzki, Sebastian and Ewerth, Ralph},
  title = {Is This an Example Image? - Predicting the Relative Abstractness Level of Image and Text},
  booktitle = {European Conference on Information Retrieval, {ECIR} 2019, Cologne, Germany, April 14-18, 2019},
  series_ = {Lecture Notes in Computer Science},
  volume_ = {11437},
  pages = {711--725},
  publisher = {Springer},
  year = {2019},
  doi = {10.1007/978-3-030-15712-8_46},
  timestamp = {Fri, 25 Dec 2020 01:14:14 +0100},
  biburl = {https://dblp.org/rec/conf/ecir/OttoHE19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  keywords = {ownwork}
}

2018

[1]

J. Medrek, C. Otto, and R. Ewerth:

Recommending Scientific Videos Based on Metadata Enrichment Using Linked Open Data

In: International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, September 10-13, 2018, pp. 286–292. Springer, 2018.

https://doi.org/10.1007/978-3-030-00066-0_25

Bib

        @inproceedings{medrek2018recommending,
  author = {Medrek, Justyna and Otto, Christian and Ewerth, Ralph},
  title = {Recommending Scientific Videos Based on Metadata Enrichment Using Linked Open Data},
  booktitle = {International Conference on Theory and Practice of Digital Libraries, {TPDL} 2018, Porto, Portugal, September 10-13, 2018},
  series_ = {Lecture Notes in Computer Science},
  volume_ = {11057},
  pages = {286--292},
  publisher = {Springer},
  year = {2018},
  doi = {10.1007/978-3-030-00066-0_25},
  timestamp = {Tue, 01 Jun 2021 15:21:30 +0200},
  biburl = {https://dblp.org/rec/conf/ercimdl/MedrekOE18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  keywords = {ownwork}
}

2017

[1]

M. Mühling, N. Korfhage, E. Müller, C. Otto, M. Springstein, T. Langelage, U. Veith, R. Ewerth, and B. Freisleben:

Deep learning for content-based video retrieval in film and television production

Multimedia Tools and Applications, 76(21), pp. 22169–22194, 2017.

https://doi.org/10.1007/s11042-017-4962-9

Bib

        @article{Muehling2017,
  author = {M{\"{u}}hling, Markus and Korfhage, Nikolaus and M{\"{u}}ller, Eric and Otto, Christian and Springstein, Matthias and Langelage, Thomas and Veith, Uli and Ewerth, Ralph and Freisleben, Bernd},
  journal = {Multimedia Tools and Applications},
  title = {Deep learning for content-based video retrieval in film and television production},
  year = {2017},
  number = {21},
  pages = {22169--22194},
  volume = {76},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/journals/mta/MuhlingKMOSLVEF17.bib},
  doi = {10.1007/s11042-017-4962-9},
  groups = {own works, face recognition, object classification, multimedia retrieval, video, computer vision},
  keywords = {ownwork},
  timestamp = {2020-06-30}
}

2016

[1]

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

Bib

        @inproceedings{Mueller2016,
  author = {M{\"{u}}ller, Eric and Otto, Christian and Ewerth, Ralph},
  booktitle = {International Conference on Multimedia Retrieval, {ICMR} 2016, New York, New York, USA, June 6-9, 2016},
  title = {Semi-supervised Identification of Rarely Appearing Persons in Video by Correcting Weak Labels},
  year = {2016},
  editor_ = {John R. Kender and John R. Smith and Jiebo Luo and Susanne Boll and Winston H. Hsu},
  pages = {381--384},
  publisher = {{ACM}},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/conf/mir/MullerOE16.bib},
  comment = {weak labels, handcrafted features},
  doi = {10.1145/2911996.2912073},
  file = {:Mueller2016 - Semi Supervised Identification of Rarely Appearing Persons in Video by Correcting Weak Labels.PDF:PDF},
  groups = {own works, face recognition, computer vision, video},
  keywords = {ownwork},
  timestamp = {2020-06-30}
}