Register now After registration you will be able to apply for this opportunity online.
This opportunity is not published. No applications will be accepted.
VIAN Usability Study
Support a usability study with a controlled group of external VIAN users. Task is to coordinate the test results, adapt the specifications and manage the evaluation in close consultation with the developer of VIAN, Gaudenz Halter.
Keywords: Video annotation tool, user study.
VIAN is a new video annotation tool developed by Gaudenz Halter in collaboration with Prof. Dr. Pajarola from the Department of Informatics and Prof. Dr. Barbara Flückiger from the Department of Film Studies at the University Zurich within the framework of her ERC Advanced Grant FilmColors.
VIAN allows, in addition to temporal segmentation and annotation, a wide variety of interventions with the audio-visual data such as adding visual annotation layers, a sophisticated tool for the creation and management of screenshots, and most importantly a range of (semi-)automatic tools for the analysis and visualization of film colors. VIAN contains the full range of analytic concepts elaborated in the ERC project, assisted by the illustrated glossary for users to train their understanding and perception of film color aesthetics and narrative functions.
These concepts are intended to be organized in a modular way, so that each individual user can select groups of concepts and levels of complexity according to their personal requirements and interests. Furthermore, a large arsenal of visualization and analysis tools provide a variety of results that connect the analytical concepts to the visualizations. All these results will be connected to the Database Timeline of Historical Film Colors. From June 2019 a beta version of VIAN will be made available to selected groups of users to test the tool and to give their feedback.
VIAN is a new video annotation tool developed by Gaudenz Halter in collaboration with Prof. Dr. Pajarola from the Department of Informatics and Prof. Dr. Barbara Flückiger from the Department of Film Studies at the University Zurich within the framework of her ERC Advanced Grant FilmColors.
VIAN allows, in addition to temporal segmentation and annotation, a wide variety of interventions with the audio-visual data such as adding visual annotation layers, a sophisticated tool for the creation and management of screenshots, and most importantly a range of (semi-)automatic tools for the analysis and visualization of film colors. VIAN contains the full range of analytic concepts elaborated in the ERC project, assisted by the illustrated glossary for users to train their understanding and perception of film color aesthetics and narrative functions.
These concepts are intended to be organized in a modular way, so that each individual user can select groups of concepts and levels of complexity according to their personal requirements and interests. Furthermore, a large arsenal of visualization and analysis tools provide a variety of results that connect the analytical concepts to the visualizations. All these results will be connected to the Database Timeline of Historical Film Colors. From June 2019 a beta version of VIAN will be made available to selected groups of users to test the tool and to give their feedback.
**Assignment**
Support the usability study with its controlled group of external VIAN users. Task is to coordinate the test results, adapt the specifications and manage the evaluation in close consultation with the developer Gaudenz Halter. External users with different expertise and professional interests and needs take part in the usability study and are already acquired.
**Requirements**
Interest in computer vision techniques. Programming experience in Python and/or C++. Willingness to patiently deal with non-programming specialists and a high affinity to questions of aesthetics. Familiarity with OpenCV and Matlab would be a plus.
**Assignment**
Support the usability study with its controlled group of external VIAN users. Task is to coordinate the test results, adapt the specifications and manage the evaluation in close consultation with the developer Gaudenz Halter. External users with different expertise and professional interests and needs take part in the usability study and are already acquired.
**Requirements**
Interest in computer vision techniques. Programming experience in Python and/or C++. Willingness to patiently deal with non-programming specialists and a high affinity to questions of aesthetics. Familiarity with OpenCV and Matlab would be a plus.
**Workload**
20 % user support, debugging, preparation of test results.
The applicant will be employed by the University of Zurich for 12 months. Salary is in accordance with the university’s rates.
**Contact**
If interested, please write an email to gaudenz.halter@live.com
**Workload**
20 % user support, debugging, preparation of test results. The applicant will be employed by the University of Zurich for 12 months. Salary is in accordance with the university’s rates.
**Contact**
If interested, please write an email to gaudenz.halter@live.com