A5065313479- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Semantic Web and Ontologies
- Multimodal Machine Learning Applications
- Anomaly Detection Techniques and Applications
- Data Management and Algorithms
- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Web Data Mining and Analysis
- Topic Modeling
- Video Surveillance and Tracking Methods
- Network Security and Intrusion Detection
- Spam and Phishing Detection
- Complex Network Analysis Techniques
- Flood Risk Assessment and Management
- Advanced Malware Detection Techniques
- Geographic Information Systems Studies
- Robotics and Sensor-Based Localization
- Natural Language Processing Techniques
- Remote-Sensing Image Classification
- Data Quality and Management
- Service-Oriented Architecture and Web Services
- Multimedia Communication and Technology
- Text and Document Classification Technologies
Centre for Research and Technology Hellas
2016-2025
Information Technologies Institute
2016-2025
China Philanthropy Research Institute
2018-2023
Neapolis University Pafos
2023
Democritus University of Thrace
2023
Universität Ulm
2019
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
2018
Information Technology Institute
2009-2014
University of Stuttgart
2013
Queen Mary University of London
2010-2012
Oil spill is considered one of the main threats to marine and coastal environments. Efficient monitoring early identification oil slicks are vital for corresponding authorities react expediently, confine environmental pollution avoid further damage. Synthetic aperture radar (SAR) sensors commonly used this objective due their capability operating efficiently regardless weather illumination conditions. Black spots probably related spills can be clearly captured by SAR sensors, yet...
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....
Despite the fact that automatic content analysis has made remarkable progress over last decade - mainly due to significant advances in machine learning interactive video retrieval is still a very challenging problem, with an increasing relevance practical applications. The Video Browser Showdown (VBS) annual evaluation competition pushes limits of state-of-the-art tools, tasks, data, and metrics. In this paper, we analyse results outcome 8th iteration VBS detail. We first give overview novel...
Flooding is one of the most destructive natural phenomena that happen worldwide, leading to damage property and infrastructure or even loss lives. The escalation in intensity number flooding events as a result combination climate change anthropogenic factors motivates need adopt real-time solutions for mapping flood hazards risks. In this study, methodological framework proposed enables assessment hazard risk levels severity dynamically by fusing optical remote sensing (Sentinel-1) GIS-based...
This paper conducts a thorough examination of the 12th Video Browser Showdown (VBS) competition, which is well-established international benchmarking campaign for interactive video search systems. The annual VBS competition has witnessed steep rise in popularity multimodal embedding-based approaches retrieval. majority thirteen systems participating 2023 utilized CLIP-based cross-modal model, allowing specification free-form text queries to visual content. shared emphasis on joint embedding...
Interactive video retrieval tools developed over the past few years are emerging as powerful alternatives to automatic approaches by giving user more control well responsibilities. Current research tries identify best combinations of image, audio and text features that combined with innovative UI design maximize performance. We present last installment Video Browser Showdown 2015 which was held in conjunction International Conference on MultiMedia Modeling (MMM 2015) has stated aim pushing...
This work summarizes the findings of 7th iteration Video Browser Showdown (VBS) competition organized as a workshop at 24th International Conference on Multimedia Modeling in Bangkok. The focuses video retrieval scenarios which searched scenes were either previously observed or described by another person (i.e., an example shot is not available). During event, nine teams competed with their tools providing access to shared collection 600 hours content. Evaluation objectives, rules, scoring,...
Comprehensive and fair performance evaluation of information retrieval systems represents an essential task for the current age. Whereas Cranfield-based evaluations with benchmark datasets support development models, significant efforts are required also user-oriented that try to boost interactive search approach. This article presents findings from 9th Video Browser Showdown, a competition focuses on legitimate comparison designed challenging known-item tasks over large video collection....
The past few years have seen an accelerating integration of deep learning (DL) techniques into various remote sensing (RS) applications, highlighting their power to adapt and achieving unprecedented advancements. In the present review, we provide exhaustive exploration DL approaches proposed specifically for spatial downscaling RS imagery. A key contribution our work is presentation major architectural components models, metrics, data sets available this task as well construction a compact...
Vibrations are a common issue in the machining and metal-cutting sector, which spindle vibration is primarily responsible for poor surface quality of workpieces. The consequences range from need to manually finish metal surfaces, resulting time-consuming costly operations, high scrap rates, with corresponding waste time resources. main problem conventional solutions that they address suppression machine vibrations separately control process. In this novel proposed framework, we combine...
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...
Abstract The rise of Internet Things (IoT), coupled with the advances in Artificial Intelligence technologies and cloud-based applications, have caused fundamental changes way societies behave. Enhanced connectivity interactions between physical cyber worlds create ‘smart’ solutions applications to serve society's needs. Water is a vital resource its management critical issue. ICT achievements gradually deployed within water industry provide an alternative, smart novel improve efficiently....
The CoFly-WeedDB contains 201 RGB images (∼436 MB) from the attached camera of DJI Phantom Pro 4 a cotton field in Larissa, Greece during first stages plant growth. 1280 × 720 were collected while Unmanned Aerial Vehicle (UAV) was performing coverage mission over field's area. During designed mission, angle adjusted to -87°, vertically with field. flight altitude and speed UAV equal 5 m 3 m/s, respectively, aiming provide close clear view weed instances. All have been annotated by expert...