Daniel Helm was born in 1987. He received the B.Sc. degree in “Information and Communication Systems and Services” and the M.Sc. degree in “Software Engineering” in June 2017 from the University of Applied Sciences Vienna. In 2019 he has started his PhD studies at TU Wien in the research area of Computer Vision and Image Analysis. Before his master studies, he worked six years as an Embedded Software Developer in automotive industry at Robert Bosch AG. During his master studies, he was employed at the company Zeno Track GmbH as a Software Developer. He collaborated in developing a visual-based localization system in logistic industry. His master thesis deals with the topic “Automatic video analysis of personality traits”, where he implemented and evaluated different deep learning techniques in order to predict personality traits of people in YouTube videos. After he finished his master’s degree, he worked at the Austrian Institute of Technology GmbH as a Research Engineer. His main focus was enhancing a visual-based obstacle detection and avoidance assistance system for rail vehicles, based on a 3D vision system.
Article Author
Video Shot Analysis for Digital Curation and Preservation of Historical FilmsDaniel Helm, Martin Kampel, Video Shot Analysis for Digital Curation and Preservation of Historical Films, in: Proceedings of the 17th Eurographics Workshop on Graphics and Cultural Heritage (November 2019), 25-28. |
Shot Boundary Detection for Automatic Video Analysis of Historical FilmsDaniel Helm, Martin Kampel, Shot Boundary Detection for Automatic Video Analysis of Historical Films, in: Marco Cristani, Andrea Prati, Oswald Lanz, Stefano Messelodi, Nicu Sebe (eds.), New Trends in Image Analysis and Processing – ICIAP 2019. Lecture Notes in Computer Science, vol. 11808 (Cham: Springer, 2019), 137-147. |
Overscan Detection in Digitized Analog Films by Precise Sprocket Hole SegmentationDaniel Helm, Martin Kampel, Overscan Detection in Digitized Analog Films by Precise Sprocket Hole Segmentation, in: George Bebis et al. (eds.), Advances in Visual Computing. ISVC 2020. Lecture Notes in Computer Science, vol. 12509 (Cham: Springer, 2020), 148-159. |
Frame Border Detection for Digitized Historical FootageDaniel Helm, Bernhard Pointner, Martin Kampel, Frame Border Detection for Digitized Historical Footage, in: Proceedings of the Joint Austrian Computer Vision and Robotics Workshop (August 2020), 114-115. |
Graph-based Shot Type Classification in Large Historical Film ArchivesDaniel Helm, Florian Kleber, Martin Kampel, Graph-based Shot Type Classification in Large Historical Film Archives, in: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 4 (February 2022), 991-998. |
HistShot: A Shot Type Dataset based on Historical Documentation during WWIIDaniel Helm, Florian Kleber, Martin Kampel, HistShot: A Shot Type Dataset based on Historical Documentation during WWII, in: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, vol. 1 (February 2022), 558-565. |
HISTORIAN: A Large-Scale Historical Film Dataset with Cinematographic AnnotationDaniel Helm, Fabian Jogl, Martin Kampel, Historian: A Large-Scale Historical Film Dataset with Cinematographic Annotation, in: 2022 IEEE International Conference on Image Processing (ICIP), (October 2022), 2087-2091. |
Participation in Public Deliverables
D4.1 Controlled Vocabularies SpecificationContributor |
Participation in Events
Pre-Kick-off MeetingMeeting Friday, 19.10.2018, 09:15 to Saturday, 20.10.2018, 18:00 |
Kick-off MeetingMeeting Wednesday, 27.02.2019, 09:15 to Friday, 01.03.2019, 20:00 |
Curation of Engagement LevelsWorkshop Monday, 20.05.2019, 09:00 to Tuesday, 21.05.2019, 17:00 |
Shot Boundary Detection for Automatic Video Analysis of Historical FilmsPresentation Monday, 09.09.2019 |
Video Shot Analysis for Digital Curation and Preservation of Historical FilmsPresentation Wednesday, 06.11.2019 to Saturday, 09.11.2019 |
VocabulariesWorkshop Thursday, 21.11.2019, 13:45 to Friday, 22.11.2019, 17:00 |
Overscan Detection in Digitized Analog Films by Precise Sprocket Hole SegmentationPresentation Monday, 05.10.2020, 10:30 |
Relation DetectionMini-Workshop Tuesday, 26.01.2021, 14:00 to Tuesday, 26.01.2021, 17:00 |
Consortium MeetingMeeting Tuesday, 23.02.2021, 15:00 to Wednesday, 24.02.2021, 19:00 |
Video Analysis in Large Historical Film CollectionsPresentation Monday, 31.05.2021, 15:00 to Monday, 31.05.2021, 17:00 |
HistShot: A Shot Type Dataset based on Historical Documentation during WWIIPresentation Thursday, 03.02.2022, 15:00 to Thursday, 03.02.2022, 16:15 |
Graph-based Shot Type Classification in Large Historical Film ArchivesPresentation Monday, 07.02.2022, 16:45 to Monday, 07.02.2022, 18:30 |
Tracing Visual Evidence of the Holocaust: Challenges of the Digital Curation of Liberation Footage across Archives and DisciplinesPanel Tuesday, 26.04.2022, 09:00 to Tuesday, 26.04.2022, 10:30 |
Moving Images from the Archives. Historical Footage of Nazi Crimes in DocumentariesConference Sunday, 08.05.2022, 18:00 to Tuesday, 10.05.2022, 17:00 |
Migrating Images and Image Migration: How Popular Culture Shapes the Visual History of the HolocaustConference Monday, 12.09.2022, 18:00 to Wednesday, 14.09.2022, 20:00 |
HISTORIAN: A Large-Scale Historical Film Dataset with Cinematographic AnnotationPresentation Monday, 17.10.2022, 10:00 to Monday, 17.10.2022, 12:30 |
Participation in Videos
Video Analysis in Large Historical Film CollectionsMonday, 31.05.2021 |
Using Prototype Tools to Detect and Classify Cinematographic Concepts and Relations in Digitized Film CollectionsTuesday, 26.04.2022 |
Automated Film Analysis PipelineMonday, 09.05.2022 |
