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Project Description

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
   

Artificial Intelligence in Industrial Vision Salzburg (AIIV)

 

Project Description:

The WISS2025 project Artificial Intelligence in Industrial Vision Salzburg is aiming to develop a set of solutions for industrial vision problems. Target applications include product as well as human subject authentication and microscopy-based cell analysis. The application of recent artificial intelligence technology links the various solutions, in particular, the common and binding element among all topics is how to deal with insufficient training data, either incorrectly/inaccuratly labled or simply insufficient in terms of data volume. This project is conducted in cooperation with Authentic Vision, Dental Manufacturing Unit, e-Mundo, Skidata and TECAN.

 
 

Members:

  
 

Timeframe:

  • May 2021 - Apr. 2023
  
 

Publications:

  1. [Schuiki23b   ] Cross-Sensor Micro-Texture Material Classification and Smartphone Acquisition do not go well together Johannes Schuiki, Christof Kauba, Heinz Hofbauer, Andreas Uhl In Proceedings of the 11th International Workshop on Biometrics and Forensics (IWBF'23), pp. 1-6, Barcelona, Spain, April 20 - April 21, 2023
  2. [Jalilian23a   ] Impact of Image Compression on In-vitro Cell Migration Analysis Ehsaneddin Jalilian, Michael Linortner, Andreas Uhl Computers 12:5, pp. 98, 2023
  3. [Remy22a ] Comparative Compression Robustness Evaluation of Digital Image Forensics Oliver Remy, Sebastian Strumegger, Jutta Hämmerle-Uhl, Andreas Uhl In Computational Science and Its Applications -- ICCSA 2022, pp. 236-246, Cham, LNCS, 13376, Springer International Publishing, 2022
  4. [Jalilian21c   ] Deep Learning Based Automated Vickers Hardness Measurement Ehsaneddin Jalilian, Andreas Uhl In Proceedings of the 19th International Conference on Computer Analysis of Images and Patterns (CAIP 2021), pp. 3-13, Nicosia, Cyprus (held Online due to Covid), Springer Lecture Notes on Computer Science (LNCS), 13053, September 22 - 1 October, 2021
 
Multimedia Signal Processing
and Security Lab
Saturday, 23-Sep-2023 19:57:58 CEST