A5058377217- Multimodal Machine Learning Applications
- Context-Aware Activity Recognition Systems
- Advanced Graph Neural Networks
- Human Pose and Action Recognition
- AI in Service Interactions
- Natural Language Processing Techniques
- Video Analysis and Summarization
- Non-Invasive Vital Sign Monitoring
- Video Surveillance and Tracking Methods
- Emotion and Mood Recognition
- Geographic Information Systems Studies
- Topic Modeling
- Speech and dialogue systems
- Advanced Image and Video Retrieval Techniques
- Heart Rate Variability and Autonomic Control
- Semantic Web and Ontologies
- Telemedicine and Telehealth Implementation
- Gait Recognition and Analysis
- Mobile Crowdsensing and Crowdsourcing
- Biomedical Text Mining and Ontologies
- Robotics and Automated Systems
- Human Mobility and Location-Based Analysis
- Graph Theory and Algorithms
- Assistive Technology in Communication and Mobility
- 3D Surveying and Cultural Heritage
Information Technologies Institute
2018-2024
Centre for Research and Technology Hellas
2018-2024
Universität Ulm
2019
China Philanthropy Research Institute
2019
This paper provides an overview of the tasks submitted to TRECVID 2011 by ITI-CERTH. ITICERTH participated in Known-item search (KIS) as well Semantic Indexing (SIN) and Event Detection Internet Multimedia (MED) tasks. In SIN task, techniques are developed, which combine motion information with existing well-performing descriptors such SURF, Random Forests Bag-of-Words for shot representation. MED trained concept detectors task used represent video sources model vector sequences, then a...
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,...
Conversational agents are reshaping our communication environment and have the potential to inform persuade in new effective ways. In this paper, we present underlying technologies theoretical background behind a health-care platform dedicated supporting medical stuff individuals with movement disabilities providing advanced monitoring functionalities hospital home surroundings. The framework implements an intelligent combination of two research areas: (1) sensor- camera-based collect,...
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...
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...
Nowadays, vast amounts of multimedia content are being produced, archived, and digitized, resulting in great troves data interest. Examples include user-generated content, such as images, videos, text, audio posted by users on social media wikis, or provided through official publishers distributors, digital libraries, organizations, online museums. This can serve a valuable source inspiration to the creative industries, architecture gaming, produce new innovative assets enhance (re-)use...
Abstract 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. In this work, we introduce novel decision-level fusion framework for multimodal level detection based on from wearable devices user audio recordings. include Electrocardiograph (ECG), Respiration (RSP), InertialMeasurement Unit (IMU) sensors equipped smart vest. A data collection...
Abstract With the constant growth of social media in our daily lives, a huge amount information is generated online by multiple networks. However, what can we actually extract with science sensing? It very challenging task to mine meaningful data out this vast crowdsourcing volume, which also rapidly changes or ends up being misleading. The scope paper present different approaches that overcome these challenges and utilize from various sources. This work illustrates applications that:...
In this paper, we present work in progress on the development of a smart monitoring framework to support people with motor disabilities and their caregivers clinical non-clinical rehabilitation care environments. The innovation platforms lies combination solutions, such as activity recognition lifestyle tracking, an intelligent virtual agent that aims empower motivate need through personalized feedback responses, well assist clinicians easily collect information about patients. proposed...
In this paper we describe the xR4DRAMA system, a solution that makes use of XR capabilities to support professionals who deal with disasters, man-made crises or media productions. The key contribution work in progress is increase situation awareness, which achieved by innovative combination data collection, multimedia and sensor analysis, linking data, GIS interactive technologies. proposed platform designed facilitate creation immersive environments using semantically enriched content...