Artificial Intelligence for Media and Humanities
Investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, taking into account issues related to scalability.
Vision and Deep Learning
New AI-based solutions to image and video content analysis, understanding, and classification. This includes techniques for detection, recognition (object, pedestrian, face, etc), classification, feature extraction (low- and high-level, relational, cross-media, etc), anomaly detection also considering adversarial machine learning threats.
Human Language
AI-based solutions to textual data analysis, understanding, and classification. This includes representation learning for text classification, transfer learning for cross-lingual and cross-domain text classification, sentiment classification, sequence learning for information extraction, text quantification, transductive text classification, and applications of the above to domains such as authorship analysis and technology-assisted review.
Digital Humanities
AI-based solutions to represent, access, archive, and manage tangible and intangible cultural heritage data. This includes solutions based on ontologies, with a special focus on narratives, and solutions based on multimedia content analysis, recognition, and retrieval.
Large-scale IR
Efficient, effective, and scalable AI-based solutions for searching multimedia content in large datasets of non-annotated data. This includes techniques for multimedia content extraction and representation, scalable access methods for similarity search, multimedia database management.
Awards
The VISIONE system, developed by Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo from the AIMH laboratory of Cnr-Isti, was ranked first at the 13th Video Browser Showdown (VBS2024)
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In this annual report, we sum up the activities of the AIMH research group on 2023. We summarize the research conducted on our main research fields, describe the projects in which we were involved, report the complete list of papers we published, together with their abstract, list thesis on which we were involved, highlight the datasets we created and made publicly available.
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SUN
Social and hUman ceNtered XRFunded by Horizon Europe
The Social and hUman ceNtered XR (SUN) project has been launched in December2022. SUN has been approved for funding by the European Commission within the Horizon Europe program, HORIZON-CL4-2022-HUMAN-01-14 – eXtended Reality Technologies (RIA). ISTI will coordinate the SUN project and will participate with the Artificial Intelligence for Media and Humanities and Visual Computing laboratories.
