Status: finishedSupervisor: Martin Kampel Problem Statement In the project MIC-Cam a system for the automated detection of mites was developed. It monitors the bees by camera when departing and landing at the flight board of the bee hive to recognise attached mites in real time without restricting the bees. We apply innovative methods of digital … Continue reading Bee polls recognition and quantity estimation
Status: available Supervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video content analysis is needed in many different domains such as historical film preservation or film archiving. Due to the enormous quantity of available visual media data, automatic approaches shall be used in order to find specific content in videos … Continue reading Camera Pose Estimation for Video Shot Analysis
Status: availableSupervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video content analysis is needed in many different domains such as historical film preservation or film archiving. Due to the enormous quantity of available visual media data, automatic approaches shall be used in order to find specific content in videos or … Continue reading Shot Type Classification: A fundamental base for automatic video analysis
Publications Helm D., Jogl F., and Kampel M., “HISTORIAN: A Large-Scale HISTORIcal Film Dataset with Cinematographic ANnotation,” 2022 IEEE International Conference on Image Processing (ICIP), 2022, pp. 2087-2091, doi: 10.1109/ICIP46576.2022.9897300. Helm D., Kleber F., and Kampel M. (2022). Graph-based Shot Type Classification in Large Historical Film Archives. In Proceedings of the 17th International Joint Conference … Continue reading Daniel Helm