"IPAS’22: Best Session Paper Award for the Research Group M4D/MKLab of ITI-CERTH"

The research paper entitled ‘Vehicle Color Identification Framework using Pixel-level color Estimation from Segmentation Masks of Car Parts’ wins the Best Session Award Certificate under the category Image and Video Processing for Smart City and Smart Environments!

The research was conducted by M4D, the Multimodal Data Fusion and Analytics Group, as part of the Multimedia Knowledge and Social Media Analytics Laboratory, and was presented by Mr. Stavrothanasopoulos during the Image Processing Applications and Systems (IPAS’22) conference in Genova between the 5th to the 7th of December 2022.