A5036473595- Video Analysis and Summarization
- Semantic Web and Ontologies
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Robotics and Sensor-Based Localization
- Web Data Mining and Analysis
- Data Mining Algorithms and Applications
- Multimodal Machine Learning Applications
- Geographic Information Systems Studies
- Video Surveillance and Tracking Methods
- Advanced Graph Neural Networks
- Digital Marketing and Social Media
- Emotion and Mood Recognition
- Genetic and phenotypic traits in livestock
- Human Motion and Animation
- Data Management and Algorithms
- Complex Network Analysis Techniques
- Virtual Reality Applications and Impacts
- Algorithms and Data Compression
- Wikis in Education and Collaboration
- Data Visualization and Analytics
- 3D Surveying and Cultural Heritage
Information Technologies Institute
2016-2025
Centre for Research and Technology Hellas
2016-2025
China Philanthropy Research Institute
2023
Information Technology Institute
2014
Institute of Informatics and Telematics
2012
Aristotle University of Thessaloniki
2005-2009
Although Augmented Reality (AR) technology has entered many market and knowledge domains such as games leisure activities, it remains rather limited in digital heritage. After studying the potentiality of using modern AR elements a museum context, this paper proposes use additional game educational core application order to enhance overall on-the-spot visitor’s experience. An agile design methodology was followed by taking into account needs small-to-medium sized real-world museums....
The intersection of serious games, advanced technologies, and culture offers new paths for fostering social inclusion sustainability. This position paper presents i-Game, an EU project dedicated to transforming the relationship between cultural heritage gaming industry. By creating open-source platform inclusive game development, i-Game integrates tools such as Explainable AI (XAI) virtual reality enable diverse stakeholders—including underrepresented groups—to co-create games that address...
Cultural heritage is a lot more than monuments and collections of objects. In addition, it includes traditions living expressions inherited from our ancestors passed on to descendants, such as songs, performing arts, social practices, rituals, festive events, knowledge practices concerning nature, or the skills produce traditional crafts. These elements constitute Intangible Heritage (ICH). Safeguarding ICH an important factor in maintaining coherence along with cultural diversity, but also...
Demographic change confronts us with an ever-increasing number of elderly people who face isolation and socialization issues. Background: The main challenge this study is to inject emotional aesthetic aspects into the design process a virtual reality (VR) social space for elderly. In context, we asked architects artists improve perception have their way communicating others. Artists, in collaboration computer engineers, designed experiences that evoke positive cognitive feelings memories by...
The evolution of Knowledge Graphs (KGs), during the last two decades, has encouraged developers to create more and context related KGs. This advance is extremely important because Artificial Intelligence (AI) applications can access open domain specific information in a semantically rich, machine understandable format. In this paper, we present XR4DRAMA KG which represent for disaster management. More specifically, about: (a) Observations Events (e.g., data collection biometric sensors,...
Stress can be considered a mental/physiological reaction in conditions of high discomfort and challenging situations. The levels stress reflected both the physiological responses speech signals person. Therefore study fusion two modalities is great interest. For this cause, public datasets are necessary so that different proposed solutions comparable. In work, publicly available multimodal dataset for detection introduced, including cues data. include electrocardiograph (ECG), respiration...
Abstract In the previous two decades, Knowledge Graphs (KGs) have evolved, inspiring developers to build ever-more context-related KGs. Because of this development, Artificial Intelligence (AI) applications can now access open domain-specific information in a format that is both semantically rich and machine comprehensible. article, we introduce XR4DRAMA framework. The KG framework represent data for media preparation disaster management. More specifically, about: (a) Observations Events...
This tutorial provides an overview of multimedia retrieval in the context eXtended Reality (XR), including using virtual and augmented/mixed reality as a user interface for retrieval, well search tasks addressing content needs creation XR experiences. It will discuss opportunities limitations XR-based search, evaluation systems, demonstration selected research open challenges.
Seniors, in order to be able fight loneliness, need communicate with other people and engaged activities keep their minds active increase social capital. There is an intensified interest the development of virtual reality environments, either by commerce or academia, address problem isolation older people. Due vulnerability group involved this field research, for application evaluation methods regarding proposed VR environments becomes even more important. The range techniques that can...
Flood management and media production planning are both tasks that require timely sound decision making, as well effective collaboration between professionals in a team split remote headquarter operators situ actors. This paper presents an extended reality (XR) platform utilizes interactive immersive technologies integrates artificial intelligence (AI) algorithms to support the public involved such incidents events. The developed XR tools address various specialized end-user needs of...
Emotion recognition is a key attribute for realizing advances in human–computer interaction, especially when using non-intrusive physiological sensors, such as electroencephalograph (EEG) and electrocardiograph. Although functional connectivity of EEG has been utilized emotion recognition, the graph theory analysis patterns not adequately explored. The exploitation brain network characteristics could provide valuable information regarding emotions, while combination peripheral signals can...
SocialSensor will develop a new framework for enabling real-time multimedia indexing and search in the Social Web. The project moves beyond conventional text-based retrieval models by mining aggregating user inputs content over multiple social networking sites. Indexing incorporate information about structure activity of users network directly into analysis process. Furthermore, it enhance consumption experience developing novel user-centric media visualization browsing paradigms. For...
In this paper an object-based method to generate additional stereo views from monoscopic image sequences using rigid motion and structure estimation by extended Kalman filters is presented. First, scene objects are segmented feature points in each object extracted tracked throughout the video sequence. Then, motion, focal length estimated recursively for object, filters, as described Azarbayejani Pentland (1995). Furthermore, depths computed interpolated 2-D Delaunay triangulation. Finally,...
Social media platforms such as Twitter and Facebook have seen increasing adoption by people worldwide. Coupled with the habit of to use social for sharing their daily activities experiences, it is not surprising that a substantial part real-world events are well described online streams status updates, posts content. In fact, in case large events, festivals, number messages shared content can be so high very hard get an objective view event. To this end, paper presents EventSense, sensing...
Public awareness of and concerns about companies’ social environmental impacts have seen a marked increase over recent decades. In parallel, the quantity relevant information has increased, as states pass laws requiring certain forms reporting, researchers investigate performance, companies themselves seek to gain competitive advantage by being operate fairly transparently. However, this is typically dispersed non-standardized, making it complicated collect analyze. To address challenge,...
This position paper explores how journalists can embrace new ways of content provision and authoring, by aggregating analyzing gathered from Social Media. Current challenges in the news media industry are reviewed a system for capturing emerging knowledge Media is described. Novel features that assist professional processing sheer amounts information presented with reference to technical requirements system. First implementation steps also discussed, particularly focusing event detection...