
2nd Workshop on Artificial Intelligence for Multimedia
Advanced AI techniques in multimedia processing and analysis
Our lab pioneers advanced solutions in Artificial Intelligence, Information Retrieval and Data Science focusing on multimedia processing and fusion (signal, image, video, audio, text, sensor, synthetic) for diverse domains, including surveillance and security, media, medicine, fintech, and networking.
The AI Multimedia Lab (AIM), founded by Professor Bogdan IONESCU, is now part of the CAMPUS Research Institute, Politehnica Bucharest. With its roots dating back in 2007 with the creation of the Video Analysis and Processing Group within the Faculty of Electronics, Telecommunications and Information Technology, it evolved in the current format in 2016 with the creation of the CAMPUS Research Centre.
AIM is fostering advanced solutions in Artificial Intelligence, Information Retrieval and Data Science with a focus on multimedia information processing and fusion, e.g., signal, image, video, audio, text, sensor, synthetic, and algorithm benchmarking, for various use-cases and domains, e.g., surveillance & security, media, medicine, fintech, networking, to mention but a few.
AIM is also an educational hub entrusted within Politehnica Bucharest with the education, training and mentoring of students, graduates and early career engineers. It provides critical support across both academic and industrial initiatives, playing an essential role in facilitating R&D activities for the entire community.
Explore our recent conferences, workshops, and research initiatives that drive innovation in AI and multimedia technologies.
Machine learning, neural networks, and intelligent systems
Digital signal analysis and processing techniques
Image analysis and visual recognition systems
Identity verification through biological measurements
Medical image analysis and diagnostic imaging
Natural language processing and text mining
Explore our portfolio of academic research and industry collaborations
AI4MediaBench, developed by UPB’s AI Multimedia Lab, is an online Evaluation-as-a-Service platform that supports the creation, maintenance, and management of benchmarking competitions. It enables AI researchers and developers to evaluate and share tools systematically, ensuring ethical principles such as data protection, fairness, robustness, and reproducibility.
Organizers can design benchmarks for internal decision-making or public challenges, selecting optimal AI models for deployment. The platform offers standardized datasets, metrics, and evaluation scripts, automatic error detection, containerized execution, API integration, and support for distributed computing. It can also include computational efficiency metrics, encouraging environmentally responsible AI.
Researchers
Submissions
Benchmarks
Specify the problem, evaluation metrics, and submission type to create a clear and fair benchmark.
Upload datasets, configure tasks, and launch the benchmark with reproducible execution environments.
Run submissions, generate leaderboards, and make results openly accessible to the community.
Our team combines academic and R&D contributors with close industry and international collaborators. We are also proud of our alumni who are now leaders in their own domain.
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