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Cover of ERCIM News 95

ERCIM News 95

July 2026

Special theme Image Understanding

Guest editors Michal Haindl (Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic) and Josef Kittler (University of Surrey)

PDF of ERCIM News 95 ePub of ERCIM News 95 56 pages

In this issue

  • Keynote
  • Special Theme
  • In Brief
  • Joint ERCIM Actions
  • Research and Innovation
  • Events
  • Books

Next issue October 2026

Special theme Quantum Technology

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Image Understanding – An EU Perspective

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Category: Keynote
Published: 14 October 2013
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Libor Král,  Head of Unit A2 – Robotics in Directorate General Communication Networks, Content & Technology, European Commission

by Libor Král

Vision is a key factor in natural evolution, whether aiding a jellyfish to detect light or providing the supra-human ability of an eagle to spot its prey from miles away. The desire to enhance human vision through artificial means dates back several centuries, but it is not until the last twenty years or so that machine and computer vision took off. Today, as evidenced by the contributions to this ERCIM edition, it is a vibrant research field.

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Image Understanding - Introduction to the Special Theme

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Category: Special Theme
Published: 14 October 2013
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by Michal Haindl and Josef Kittler

Vision is the most important sense on which the majority of organisms depend for life. Scene reflectance properties in various spectral bands provide invaluable information about an object’s characteristics, including its shape, material, temperature, illumination and dynamism. This information, however, is very difficult to capture with an electronic device. A real visual scene to be captured is subject to variable illumination as well as variable observation conditions. Furthermore, single objects of interest can be partially occluded or shaded, may be positioned at various distances from the capturing device, data can be noisy and / or incomplete; thus successful interpretation of imaging sensor data requires sophisticated and complex analytical methods and computing power.

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Boat Extraction in Harbours From High Resolution Satellite Images Using Marked Point Processes

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Category: Special Theme
Published: 14 October 2013
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by Paula Crăciun and Josiane Zerubia

Earth observation satellites represent a significant resource when it comes to acquiring data about the Earth. Satellite data is used in a range of fields, including environmental monitoring, map updating and meteorology. Since the launch of the first Earth observation satellite, the resolution of the optical sensors installed on board has greatly improved, thus, nowadays, panchromatic images can be acquired at a resolution equal or lower than 0.7 [m] (ie GeoEye, Pleiades). This makes it possible to recognize small objects, such as boats and cars.

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FIM: Frustrated Total Internal Reflection Based Imaging for Biomedical Applications

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Category: Special Theme
Published: 14 October 2013
Hits: 11691

by Benjamin Risse, Xiaoyi Jiang, and Christian Klämbt

Video-based imaging of animal behaviour is commonly used in biomedical studies. Imaging small and translucent organisms, such as worms or larvae, however, tends to require sophisticated illumination strategies. We developed a novel technique to image the contact surface between organisms and substrate utilizing Frustrated Total Internal Reflection. This technique has a wide range of potential applications.

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  • AXES - Finding Video Clips Using Speech and Image Recognition
  • Random Mosaics for Network Extraction
  • Computer-Aided Leaf Recognition Visual System
  • Automatic Recognition of Human Activities in Realistic Videos
  • Egovision4Health - Assessing Activities of Daily Living from a Wearable RGB-D Camera for In-Home Health Care Applications
  • Applying Random Matrix Theory Filters on SenseCam Images
  • Multi-Modal Human Behaviour Analysis from Visual Data Sources
  • Tracking the Articulated Motion of Human Hands in 3D
  • KAD - An Intelligent System for Categorizing and Assessing the State of Patients with Multiple Sclerosis
  • GAIMS: A Reliable Non-Intrusive Gait Measuring System
  • Mixed Reality by Understanding and Integrating Spatio-Temporal Data of a LIDAR and a 4D Studio
  • Visual 3D Environment Reconstruction for Autonomous Vehicles
  • Automatic MRI Brain Tissue Classification
  • Connected Morphological Operators for Tensor Images
  • Exploiting Computational Models of the Human Visual System
  • Person Re-identification
  • Large Scale Image Retrieval Using Vectors of Locally Aggregated Descriptors
  • Graph Based Keyword Spotting in Handwritten Historical Slavic Documents
  • Highly Degraded Recto-verso Document Image Processing and Understanding
  • Joint ERCIM eMobility and MobiSense Workshop
  • IDEALIST - An International ICT Partner Search System and Network of National Contact Points
  • ERCIM Security and Trust Management Workshop
  • Julien Mairal Receives the 2013 Cor Baayen Award
  • SECCRIT: Secure Cloud Computing for High Assurance Services
  • Consensus in Computer and Communication Systems in a Stochastic Environment
  • Interdependencies of Genetic and Epigenetic Events in a Computational Model for Colon Cancer Dynamics
  • Using the BonFIRE Testbed for Testing Scalability of the KOPI Service
  • MIDAS: Automated SOA Testing on the Cloud
  • DRIVEN: Diagnostically Robust Ultrasound Video Transmission over Emerging Wireless Networks
  • An e-Science Collaboration Platform for Effective Multimedia Research
  • Control Systems and Technologies for Cyber-Physical Systems
  • HCI International 2013
  • CLEF 2013 and Beyond: Evolution of the CLEF Initiative
  • VLDB 2013 Conference Supported by ERCIM
  • The First Tangible Interaction Studio
  • EvAAL Evaluation Workshop
  • Joint ERCIM, ARTEMIS, Euromirco Workshops
  • Foundations of Fuzzy Logic and Semantic Web Languages
  • Matteo Mio Wins Ackermann Award
  • Fabio Martinelli Appointed Chair of the WG3 Working Group on “Secure ICT Research and Innovation”

ERCIM News

ERCIM News is published by ERCIM – the European Research Consortium for Informatics and Mathematics.

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Articles in the Special Theme and Research and Innovation sections are referenced by DBLP.

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