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QualitEYE

Quality for visual content life cycle
Funder: French National Research Agency (ANR)Project code: ANR-24-MRS1-0005
Funder Contribution: 35,998.8 EUR

QualitEYE

Description

In the context of a digital world saturated with images and videos, QualitEye stands out as an innovative project aiming to push the boundaries of visual quality assessment. This ambitious initiative aims to create a European doctoral network dedicated to this crucial challenge. With a consortium of renowned partners, QualitEye is committed to training a new generation of highly qualified interdisciplinary researchers capable of tackling the complex challenges related to the evaluation of visual content quality. This European doctoral network will provide a unique platform for yearly stage researchers, fostering international and intersectoral exchanges. By collaborating with experts from various countries and sectors, QualitEye's doctoral students will benefit from a wealth of approaches and expertise, enriching their research records. International mobility and secondments in industrial environments will be encouraged, allowing doctoral students to explore other partner institutions or companies across Europe. In a world where visual content is ubiquitous, the applications of QualitEye are vast and varied. The project aims to stimulate innovation in areas such as healthcare, education, entertainment, and virtual reality. By developing advanced methodologies to quantify and master the quality of visual content, QualitEye seeks to enhance user experiences, offer new learning and entertainment methods, and open new perspectives in key areas such as healthcare, culture, and education. On the technical side, QualitEye will focus on creating precise models and metrics, implementing sophisticated perceptual models, and exploring deep learning for finer evaluation. All of this is aimed at ensuring quality throughout the lifecycle of visual content while mastering energy efficiency. By also integrating industrial partners, the project is committed to addressing the needs and challenges of the professional world. Doctoral students will have the opportunity to work on concrete projects in collaboration with companies, thus facilitating the transfer of knowledge between the academic and industrial worlds.

Data Management Plans
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