The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. Social media is a highly heterogeneous source of data that provides real-time information in specific areas of interest, which can assist public safety through the monitoring…
Multimedia retrieval
Big Data Collections (e.g. Earth Observation data, social media streams, large video collections, etc.) are characterised by large volumes, velocity and variety, due to their high heterogeneous nature and timeliness. Multimedia retrieval requires efficient indexing of the available raw data and extracted metadata, such as concepts, visual features, textual features…
Computer vision
Digital images and video footages comprise one of the core data types for human-machine interaction and visual understanding in general. Human perception along with the human logic are the most attractive capabilities of the human species that the research community strives to mimic. Except the relevant perception models, the community…
Multimodal Data Fusion
A key requirement in multimodal domains is the ability to integrate the different pieces of information, so as to derive high-level interpretations. More precisely, in such environments, information is typically collected from multiple sources and complementary modalities, such as from multimedia streams (e.g. using video analysis and speech recognition), lifestyle…
Big Data processing and analytics
Spatial, textual and visual data are ubiquitous and are massively generated by cameras, satellites, sensors and humans. Clustering large and semi-structured data is a very popular pattern recognition problem in the Big Data era, that aims to support data management and grouping into topics. Our research focus is to identify…
Multimodal analytics based on Artificial Intelligence
Artificial intelligence (AI) technologies, and in particular the deep learning paradigm, are advancing at an astounding pace and appear to have the potential to significantly enhance the capabilities in a wide range of applications. Multimodal analytics aim to uncover the structure underlying the multimodal information of interest and organise it…
Knowledge Representation and Reasoning
The Semantic Web technologies provide the means and tools to unanimously represent the meaning of Web entities and their relations to one another, in a machine-interpretable manner. While modelling and managing knowledge for web entities has long ago been established, the Semantic Web technologies also show great potential in other…
Decision support and visual analytics
This research direction includes a unified multi-layer framework that encapsulates machine learning techniques in a specific assessment process for analysing and fusing dynamically heterogeneous information obtained from various sources. For example, in the disaster management sector, the solutions that we design and develop in the research direction aim to classify…