EIDOSlab: Digital image processing, computer vision and virtual reality
Componenti
- Grangetto Marco (Coordinatore)
- Cavagnino Davide (Componente)
- Lucenteforte Maurizio (Componente)
- Fiandrotti Attilio (Componente)
- Tartaglione Enzo (Postdoc)
- Balossino Nello (Componente)
- Rabellino Sergio (Tecnico )
- Daniele Perlo (Borsista)
- Renzulli Riccardo (Dottorando/a)
- Zaffaroni Mirko (Dottorando/a)
- Bragagnolo Andrea (Dottorando/a)
- Barbano Carlo Alberto (Dottorando/a)
- Chaudhry Hafiza Ayesha Hoor (Dottorando/a)
- Spadaro Gabriele (Componente)
- Dalmasso Gianluca (Componente)
- Presta Alberto (Componente)
Settore ERC
Attività
Understanding, managing and processing of visual data represents an unexhausted source of complex information that can be applied to many areas of science. Nowadays, visual data can be originated by both physical and simulated events. The goal of the activities of the EIDOSlab group is to carry state of the art research in the areas of imaging and multimedia that, in the coming years, promise to be major drivers of new technologies and applications with high societal impact. The lab has a long history that trace back to the foundation of our image processing laboratory.
See our lab website for updated information.
Curious about the acronym? EIDOS Lab stands for EIDetic Oriented Systems Lab.
Computer Vision
The research activities consist in the development of computer vision algorithms applied in many different fields ranging from gaming interfaces, automatic recognition for industrial and commercial needs to biometric and forensic applications.
Image processing
Image processing carried out in the group is aimed at developing algorithms for restoration, hidden information extraction, segmentation of color images, security and watermarking. Fields of applications ranges from image and video coding, cultural heritage to biomedical image processing.
Graphics
In this area the group is applying his competences to the optimization of 3D graphics fruition on all the available visual devices, e.g. TV, mobile terminals, PC and game console including many aspects of mesh and texture data and the associated animation.
Virtual and augmented reality
Serious Games are an important branch of game industry that takes advantage of Virtual Reality for learning purposes. Simulation in a virtual world allows simple interaction with objects that in the real world are far away in space and/or in time. In this area all previous competences are glued together to design innovative and complex virtual and augmented reality systems using state of the art graphical and physical simulation library.
- DeepHealth (EC-IA, H2020, ICT-2018-11): Deep-Learning and HPC to Boost Biomedical Applications for Health (2019, 36 months, total cost 12.8M€).
- ITIF - Innovative Technological Instrument to assess Frailty
“A social innovation to evaluate and to prevent frailty in elderly population”
funded by Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR)
for the Smart Cities and Communities and Social Innovation programme.
- STEPS project on space exploration funded by Regione Piemonte.
- STEPS-2 second phase of STEPS project funded by Regione Piemonte.
Deep Learning
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Every day DeepLearning and CNN results are advancing the state of the art in the area of image understanding, image processing and computer vision. In our lab we perform cover many aspects of this evolving area.
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References:
- Convolutional Neural Network for Intermediate View Enhancement in Multiview Streaming, IEEE Trans. on Multimedia 2018
- Post-synaptic potential regularization has potential, presented at International Conference on Artificial Neural Networks 2019
Gait recognition and biometrics
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Biometrics is the science that studies the human characteristics for anthropometry research, people identification, access control and many more. Biometric features are measurable data classified as physical or behavioral. The former are related to the body and its shape. Some examples are face, hand, iris, retina and fingerprint. Behavioral characteristics are associated to particular human action, for instance handwriting and walking. Automatic recognition systems are often expensive, intrusive and require the cooperation of the subject during the acquisition. The latter cannot be always guaranteed, for instance in a video surveillance context. In this case, it iuseful to recognize people through biometric parameters that can be captured at a distance and without the collaboration of the person, such as gait. Gait analysis finds interest not only in video surveillance systems and forensics science. Many applications analyze the gait in order to discover pathologies of the body movement, rehabilitation therapy, identify the fall risk in elderly population in order to assess the frailty syndrome. All these applications are based on the analysis of video and 2D images. Images and videos are processed in order to collect gait parameters applying both model-based approaches, using the definition of a 3D model of the body in movement, or by model-free approaches, that process the silhouette of a walking person. |
References:
3D Video Coding and Representation
During the last decade 3D-Cinema and 3D-television have become increasingly popular due to its superior quality of experience achieved through stereoscopy and autostereoscopy. The depth sensation in 3D television is achieved by rendering at least two views of the same scene from two slightly different viewpoints. It is desirable to use as few views as possible to achieve maximum parallax in 3D vision and it poses new challenges for coding multiviews and generating virtual views from available set of view views. Our group is working on three major areas of 3DTV: 3D video representation & coding, virtual view generation & quality enhancement, and quality assessment of 3D videos. Selected contributions in this area are presented in the following. |
- 3D Video Coding
- Panorama view with spatiotemporal occlusion compensation for 3D video coding
- A panoramic 3D video coding with directional depth aided inpainting
- 3D View Synthesis & Visual Quality Enhancement
- Edge enhancement of depth based rendered image
- Depth Image Based Rendering with Inverse Mapping (VSIM)
- Edges shape enforcement for visual enhancement of depth image based rendering
- 3D Quality Assessment
Multimedia Communications
A lot of research results in the fields of multimedia signal processing, networking and digital communications have recently contributed to the advent of our current multimedia enriched communication experience. In this area EIDOS expertise includes image and video coding, video error concealment, error resilient video coding, joint source channel coding, multiple description coding and distributed source coding, distributed and P2P video streaming, network coding. |
- A. Fiandrotti, V. Bioglio, M. Grangetto, R. Gaeta, E. Magli "Band Codes for Energy-Efficient Network Coding with Application to P2P Mobile Streaming", IEEE TRANSACTIONS ON MULTIMEDIA, 2015
- R. Gaeta, M.Grangetto "DIP: Distributed identification of polluters in P2P live streaming", ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS, 2014
- Enrico Baccaglini, M. Grangetto, E. Quacchio, and S. Zezza. A study of an hybrid cdn–p2p system over the planet lab network, SIGNAL PROCESSING-IMAGE COMMUNICATION, 2012
- A. Magnetto, R. Gaeta, M. Grangetto, and M. Sereno. Turinstream: A totally push, robust and efficient p2p video streaming architecture. IEEE TRANSACTIONS ON MULTIMEDIA, 2010
- M. Grangetto, E. Magli, and G. Olmo. Distributed arithmetic coding for the slepian-wolf problem. IEEE TRANSACTIONS ON SIGNAL PROCESSING,
- M. Grangetto,B. Scanavino, G. Olmo, and S. Benedetto. Iterative decoding of serially concatenated arithmetic and channel codes with JPEG 2000 applications. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2007
- M. Grangetto, P. Cosman and G. Olmo, Joint source/channel coding and map decoding of arithmetic codes. IEEE TRANSACTIONS ON COMMUNICATIONS, 2005.
Biomedical Image Processing
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Radiography is nowadays a common medical exam, used for diagnosing several diseases, but has the disadvantage of exposing people to a dose of radiation. For this reason, it is important to study methods for reducing such dose. To this end we are currently developing the ViRiS - RX Simulator |
Computer Vision and Deep Learning have tremendous potential in the areas of Biomedical Image Processing and Computer Aided Diagnosis systems. In this field we perform research thanks to the collaboration of the medical departments of our university and European and industrial partners. |
In the biomedical area we are also working on Segmentation of tumors in PET images in collaboration with the nuclear medicine group of IRCC in Candiolo . Our research results are contributing to devise automatic techniques to trim tumoral regions in dynamic PET images.
See also our book on RX imaging (in italian) L'immagine digitale in diagnostica per immagini
References:
- Global and local anomaly detectors for tumor segmentation in dynamic pet acquisitions
- Automatic method for tumor segmentation from 3-points dynamic PET acquisitions
- Automatic GTV contouring applying anomaly detection algorithm on dynamic FDG PET images
- A GPU Simulation Tool for Training and Optimisation in 2D Digital X-Ray Imaging
Watermarking
The diffusion of digital media and the consequent necessity of protection has posed new challenges and problems in the computer science field. At the same time objects of large dimensions (like images, sounds or videos) and containing a large quantity of redundant data allow us for compression or, alternatively, storage of extra information. In the field of data hiding many different techniques have been developed. In EIDOs we are working on application fragile reversible watermarking capable to reveal modification of the digital object, possibly localizing the modified area with particular attention to biomedical imaging data.
- D. Cavagnino, M. Lucenteforte, M.Grangetto "High capacity reversible data hiding and content protection for radiographic images", Elsevier SignalProcessing, 2015.
Image processing for the Holy Shroud
The Eidos group has developed a long lasting experience, since the lab foundation, in the study of the images of the Holy Shroud kept in the Turin Cathedral.
- Holy Shroud - Colour
- Holy Shroud - Enrie
- Santo Sudario de Oviedo
- Holy Shroud for the blind
- 3D Images
- 3D Interactive !
Virtual reality
Our current research in this area is in collaboration with the Collaborative System Engineering Centre in Thales Alenia Space. Our efforts are aimed to study new technologies that may be used in the robotic or human space exploration, with particular attention to Mars exploration. In this context we participate to the development of virtual simulations of space modules and environments.
- National Institute of Informatics - NII (Tokyo)
- Istituto Superiore Mario Boella - ISMB
- Multimedia team at TELECOM ParisTech
- RAI Research - CRIT
- SISVEL Technology
- TINY BULLS Studios
Agata Soccini
Muhammad Shahid Farid (now at University of the Punjab, Lahore)
Francesco Verdoja (now at Aalto University)
Prodotti della ricerca
Verdoja, Francesco; Grangetto, Marco
Graph Laplacian for image anomaly detection
MACHINE VISION AND APPLICATIONS, 2020
Farid, Muhammad Shahid; Lucenteforte, Maurizio; Grangetto, Marco
No-reference quality metric for HEVC compression distortion estimation in depth maps
SIGNAL, IMAGE AND VIDEO PROCESSING, 2019
Alessandrì, Luca; Cordero, Francesca; Beccuti, Marco; Arigoni, Maddalena; Olivero, Martina; Romano, Greta; Rabellino, Sergio; Licheri, Nicola; De Libero, Gennaro; Pace, Luigia; Calogero, Raffaele A
rCASC: reproducible classification analysis of single-cell sequencing data
GIGASCIENCE, 2019
Alice Barana, Alberto Conte, Cecilia Fissore, Marina Marchisio, Sergio Rabellino
LEARNING ANALYTICS TO IMPROVE FORMATIVE ASSESSMENT STRATEGIES
JE-LKS. JOURNAL OF E-LEARNING AND KNOWLEDGE SOCIETY, 2019
Marina Marchisio, Sergio Rabellino, Fabio Roman, Matteo Sacchet, Daniela Salusso
Boosting up data collection and analysis to learning analytics in open online contexts: an assessment methodology
JE-LKS. JOURNAL OF E-LEARNING AND KNOWLEDGE SOCIETY, 2019
Varrecchia, Marilena; Levine, Joshua; Olmo, Gabriella; Grangetto, Marco; Gai, Marta; Cunto, Ferdinando Di
A Method for Astral Microtubule Tracking in Fluorescence Images of Cells Doped with Taxol and Nocodazole
ADVANCES IN MOLECULAR IMAGING, 2019
Yu, Li; Tillo, Tammam; Xiao, Jimin; Grangetto, Marco
Convolutional Neural Network for Intermediate View Enhancement in Multiview Streaming
IEEE TRANSACTIONS ON MULTIMEDIA, 2018
Farid, Muhammad Shahid; Lucenteforte, Maurizio; Grangetto, Marco
Evaluating virtual image quality using the side-views information fusion and depth maps
INFORMATION FUSION, 2018
Fiandrotti, Attilio; Gaeta, Rossano; Grangetto, Marco
Securing Network Coding Architectures against Pollution Attacks with Band Codes
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018
Gianaria, Elena*; Grangetto, Marco
Robust gait identification using Kinect dynamic skeleton data
MULTIMEDIA TOOLS AND APPLICATIONS, 2018
Nello Balossino, Mario Coriasco, Sergio Rabellino
La morfometria: strumento per la classificazione di strutture anatomiche nell’ambito dell’attribuzione di identità forense
JOURNAL OF BIOMEDICAL PRACTITIONERS, 2018
Anglano, Cosimo; Gaeta, Rossano; Grangetto, Marco
Securing Coding-Based Cloud Storage Against Pollution Attacks
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2017
Botta, Marco; Cavagnino, Davide; Pomponiu Victor
Image Fragile Watermarking through Quaternion Linear Transform in Secret Space
JOURNAL OF IMAGING, 2017
Nello, Balossino; Mario, Coriasco; Sergio, Rabellino
Il problema dell’identificazione di forme: considerazioni sull'analisi fisionomica
JOURNAL OF BIOMEDICAL PRACTITIONERS, 2017
Alice, Barana; Alessandro, Bogino; Michele, Fioravera; Marina, Marchisio; Sergio, Rabellino
OPEN PLATFORM OF SELF-PACED MOOCS FOR THE CONTINUAL IMPROVEMENT OF ACADEMIC GUIDANCE AND KNOWLEDGE STRENGTHENING IN TERTIARY EDUCATION
JE-LKS. JOURNAL OF E-LEARNING AND KNOWLEDGE SOCIETY, 2017
Marchisio, Marina; Rabellino, Sergio; Spinello, Enrico; Torbidone, Gianluca
ADVANCED E-LEARNING FOR IT-ARMY OFFICERS THROUGH VIRTUAL LEARNING ENVIRONMENTS
JE-LKS. JOURNAL OF E-LEARNING AND KNOWLEDGE SOCIETY, 2017
Bonafè, B.; Botta, M.; Cavagnino, D.; Pomponiu, V.
Alpha Channel Fragile Watermarking for Color Image Integrity Protection
JOURNAL OF IMAGING, 2017
Farid, Muhammad Shahid; Lucenteforte, Maurizio; Grangetto, Marco
DOST: a distributed object segmentation tool
MULTIMEDIA TOOLS AND APPLICATIONS, 2017
Botta, Marco; Cavagnino, Davide; Pomponiu, Victor
A modular framework for color image watermarking
SIGNAL PROCESSING, 2016
Farid, Muhammad Shahid; Mahmood, Arif; Grangetto, Marco
Image de-fencing framework with hybrid inpainting algorithm
SIGNAL, IMAGE AND VIDEO PROCESSING, 2016
Fiandrotti, Attilio; Gaeta, Rossano; Grangetto, Marco
Characterization of Band Codes for Pollution-Resilient Peer-to-Peer Video Streaming
IEEE TRANSACTIONS ON MULTIMEDIA, 2016
Barana, A.; Bogino, A.; Fioravera, M.; Marchisio, M.; Rabellino, S.
Digital support for university guidance and improvement of study results
PROCEDIA: SOCIAL & BEHAVIORAL SCIENCES, 2016
Muhammad Shahid Farid;Maurizio Lucenteforte;Marco Grangetto
Panorama View With Spatiotemporal Occlusion Compensation for 3D Video Coding
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015
C. Anglano; R. Gaeta; M. Grangetto
Exploiting Rateless Codes in Cloud Storage Systems
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2015
A. Fiandrotti; R. Gaeta; M. Grangetto
Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding Based Peer-to-Peer Live Streaming
IEEE TRANSACTIONS ON MULTIMEDIA, 2015
Cavagnino, Davide; Lucenteforte, Maurizio; Grangetto, Marco
High capacity reversible data hiding and content protection for radiographic images
SIGNAL PROCESSING, 2015
Fracastoro, Giulia; Magli, Enrico; Verdoja, Francesco; Grangetto, Marco
Methods and Apparatuses for Encoding and Decoding Digital Images Through Superpixels
2017
Maurizio Drocco, Paolo Viviani, Iacopo Colonnelli, Marco Aldinucci, Marco Grangetto
Accelerating spectral graph analysis through wavefronts of linear algebra operations
Proc. of the 27th Euromicro Intl. Conference on Parallel Distributed and network-based Processing (PDP),
27th Euromicro Intl. Conference on Parallel Distributed and network-based Processing (PDP)
2019
Marina Marchisio; Lorenza Operti; Sergio Rabellino; Matteo Sacchet
Start@unito: Open Online Courses for Improving Access and for Enhancing Success in Higher Education
Proceedings of the 11th International Conference on Computer Supported Education (CSEDU 2019),
International Conference on Computer Supported Education (CSEDU 2019)
2019
A. Barana, F. Floris, M. Marchisio, C. Marello, M. Pulvirenti, S. Rabellino, M. Sacchet
Adapting STEM Automated Assessment System to Enhance Language Skills
ELEARNING AND SOFTWARE FOR EDUCATION,
15th International Scientific Conference eLearning and Software Education
2019
M. Marchisio, S. Rabellino, E. Spinello, G.Torbidone
A Full Spectrum Lifelong e-Learning Project for the Army
ELEARNING AND SOFTWARE FOR EDUCATION,
15th International Scientific Conference eLearning and Software Education
2019
Druetto A.; Roberti M.; Cancelliere R.; Cavagnino D.; Gai M.
A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data
Lecture Notes in Computer Science, Advances in Computational Intelligence,
15th International Work-Conference on Artificial Neural Networks, IWANN 2019
2019
Barana, Alice; Marchisio, Marina; Rabellino, Sergio
Empowering Engagement through Automatic Formative Assessment
Proceedings of 2019 IEEE 43rd Annual Computer Software and Applications Conference,
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)
2019
M. Marchisio, S. Rabellino, M. Sacchet, D. Salusso
Oers for secondary education: a chance for teachers to broaden their horizons
EDULEARN19 Proceedings,
11th International Conference on Education and New Learning Technologies
2019
Soccini A.M.; Grangetto M.; Inamura T.; Shimada S.
Virtual hand illusion: The alien finger motion experiment
26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings,
26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
2019
Tartaglione, Enzo; Perlo, Daniele; Grangetto, Marco
Post-synaptic Potential Regularization Has Potential
Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. ICANN 2019,
International Conference on Artificial Neural Networks
2019
Tartaglione, Enzo; Grangetto, Marco
Take a Ramble into Solution Spaces for Classification Problems in Neural Networks
International Conference on Image Analysis and Processing, ICIAP 2019,
International Conference on Image Analysis and Processing, ICIAP 2019
2019
Aldinucci, Marco; Bagnasco, Stefano; Concas, Matteo; Lusso, Stefano; Rabellino, Sergio; Demarchi, Danilo; Vallero, Sara
Managing a heterogeneous scientific computing cluster with cloud-like tools: ideas and experience
EPJ Web of Conferences Volume 214 (2019),
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
2019
Cecilia Fissore, Francesco Floris, Marina Marchisio, Sergio Rabellino
UNIVERSITY TUTORING ACTIONS USING AN INTEGRATED ONLINE PLATFORM
proceedings of 16th INTERNATIONAL CONFERENCE on COGNITION AND EXPLORATORY LEARNING IN THE DIGITAL AGE (CELDA 2019),
16th INTERNATIONAL CONFERENCE on COGNITION AND EXPLORATORY LEARNING IN THE DIGITAL AGE (CELDA 2019)
2019
Zaffaroni M.; Grangetto M.; Farasin A.
Estimation of speed and distance of surrounding vehicles from a single camera
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
20th International Conference on Image Analysis and Processing, ICIAP 2019
2019
Alice Barana; Cecilia Fissore; Marina Marchisio; Sergio Rabellino; Fabio Roman
Comunità di Moodle per incentivare la collaborazione nelle attività di Problem Solving
BRICKS,
MoodleMoot Italia
2019
Cecilia Fissore; Marina Marchisio; Sergio Rabellino
Il recupero dell'insuccesso scolastico attraverso una piattaforma integrata
BRICKS,
MoodleMoot Italia
2019
Michele FIORAVERA, Marina MARCHISIO, Luigi DI CARO, Sergio RABELLINO
Alignment of Content, Prerequisites and Educational Objectives: Towards Automated Mapping of Digital Learning Resources
ELEARNING AND SOFTWARE FOR EDUCATION,
The 14th International Scientific Conference eLearning and Software for Education
2018
Marina MARCHISIO, Alice BARANA, Michele FIORAVERA, Cecilia FISSORE, Anna BRANCACCIO, Massimo ESPOSITO, Claudio PARDINI, Sergio RABELLINO
Online Asynchronous Collaboration for Enhancing Teacher Professional Knowledges and Competencies
ELEARNING AND SOFTWARE FOR EDUCATION,
The 14th International Scientific Conference eLearning and Software for Education
2018
Enrico SPINELLO, Gianluca TORBIDONE, Marina MARCHISIO, Sergio RABELLINO
The COMFOR-SA Virtual Learning Centre Becomes a Special Hub for Gaining New Modern Standards for the IT-ARMY E-Learning Programmes
ELEARNING AND SOFTWARE FOR EDUCATION,
The 14th International Scientific Conference eLearning and Software for Education
2018
Alice BARANA, Alessandro BOGINO, Michele FIORAVERA, Francesco FLORIS, Marina MARCHISIO, Sergio RABELLINO
Orient@mente e TARM per riflettere sulle competenze matematiche degli studenti
Proceedings della Multiconferenza EM&M ITALIA,
EMEMITALIA 2017
2018
Luigi DI CARO, Michele FIORAVERA, Marina MARCHISIO, Sergio RABELLINO
A model for structuring shared learning materials within a Virtual Community
Proceedings della Multiconferenza EM&M ITALIA,
EMEMITALIA 2017
2018
Marina MARCHISIO, Sergio RABELLINO, Enrico SPINELLO, Gianluca TORBIDONE
Impiego di strumenti near-realtime per condurre una esercitazione pratica in ambito militare
Proceedings della Multiconferenza EM&M ITALIA,
EMEMITALIA 2017
2018
Alice Barana, Alberto Conte, Michele Fioravera, Marina Marchisio, Sergio Rabellino
A model of formative automatic assessment and interactive feedback for STEM
Proceedings of 2018 IEEE 42nd Annual Computer Software and Applications Conference,
2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC 2018)
2018
Luigi Di Caro, Michele Fioravera, Marina Marchisio, Sergio Rabellino
Towards adaptive systems for automatic formative assessment in virtual learning communities
Proceedings of 2018 IEEE 42nd Annual Computer Software and Applications Conference,
2018 42nd IEEE International Conference on Computer Software & Applications
2018
Barana, Alice; Di Caro, Luigi; Fioravera, Michele ; Floris, Francesco ; Marchisio, Marina; Rabellino, Sergio
Sharing system of learning resources for adaptive strategies of scholastic remedial intervention
Proceedings of the 4rd International Conference on Higher Education Advances (HEAd’18),
4rd International Conference on Higher Education Advances (HEAd’18)
2018
Alice Barana, Cecilia Fissore, Marina Marchisio, Sergio Rabellino,
ONLINE TUTORING TO ENHANCE UNIVERSITY SUCCESS
Exploring the Micro, Meso and Macro Navigating between dimensions in the digital learning landscape: EDEN 2018 CONFERENCE PROCEEDINGS,
European Distance and E-Learning Network 2018 Annual Conference
2018
Alice Barana, Luigi Di Caro, Michele Fioravera, Francesco Floris, Marina Marchisio, Sergio Rabellino
DEVELOPING COMPETENCE ASSESSMENT SYSTEMS IN ELEARNING COMMUNITIES
Exploring the Micro, Meso and Macro Navigating between dimensions in the digital learning landscape: EDEN 2018 CONFERENCE PROCEEDINGS,
EDEN 2018 ANNUAL Conference
2018
Marina Marchisio, Sergio Rabellino, Enrico Spinello, Gianluca Torbidone
INNOVAZIONE DELLA FORMAZIONE: IL MODELLO DI ELEARNING ADOTTATO DALL’ESERCITO ITALIANO
Exploring the Micro, Meso and Macro Navigating between dimensions in the digital learning landscape: EDEN 2018 CONFERENCE PROCEEDINGS,
European Distance and E-Learning Network 2018 Annual Conference
2018
Alice Barana, Luigi Di Caro, Michele Fioravera, Marina Marchisio, Sergio Rabellino
Ontology Development for Competence Assessment in Virtual Communities of Practice
Artificial Intelligence in Education 19th International Conference, AIED 2018 London, UK, June 27–30, 2018 Proceedings,,
19th International Conference, AIED 2018
2018
Levine, Joshua; Grangetto, Marco; Varrecchia, Marilena; Olmo, Gabriella
Detection and Tracking of Astral Microtubules in Fluorescence Microscopy Images
IEEE International Conference on Image Processing (ICIP),
IEEE International Conference on Image Processing (ICIP)
2018
bruschi barbara, Cantino Valter, Cavallo Perin Roberto, Culasso Francesca, Giors Barbara, Marchisio Marina, Marello Carla, Milani Matteo, Operti Lorenza, Parola Alberto, Rabellino Sergio, Sacchet Matteo, Scomparin Laura
start@unito: a supporting model for high school students enrolling to university
Proceedings 15th International Conference CELDA 2018: Cognition and exploratory learning in digital age,
15th International Conference CELDA 2018: Cognition and exploratory learning in digital age
2018
Di Caro L., Fioravera M., Marchisio M., Rabellino S
A Model for Enriching Automatic Assessment Resources with Free-Text Annotations
Proceedings 15th International Conference CELDA 2018: Cognition and exploratory learning in digital age,
15th International Conference CELDA 2018: Cognition and exploratory learning in digital age
2018
Luca Bertero, Andrea Grua, Chiara Musuraca, Paola Cassoni, Oscar Bertetto, Sergio Rabellino
Moodle come piattaforma per la formazione continua in anatomia-patologica: l’esperienza 2016-2018 della rete oncologica del Piemonte e della Valle d'Aosta
Atti del MoodleMoot Italia 2018,
MoodleMoot Italia 2018
2018
Verdoja, Francesco; Grangetto, Marco
Directional graph weight prediction for image compression
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on,
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2017
Verdoja, Francesco; Grangetto, Marco
Efficient representation of segmentation contours using chain codes
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on,
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2017
Barana, A.; Bogino, A.; Fioravera, M.; Floris, F.; Marchisio, M.; Operti, L.; Rabellino, S.
Self-paced approach in synergistic model for supporting and testing students: The transition from Secondary School to University
Proceedings of 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC),
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)
2017
Barana, A.; Fioravera, M.; Marchisio, M.; Rabellino, S. .
Adaptive teaching supported by ICTs to reduce the school failure in the Project “Scuola dei Compiti”
Proceedings of 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC),
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)
2017
Farid, Muhammad Shahid; Lucenteforte, Maurizio; Khan, Muhammad Hassan; Grangetto, Marco
Semi-automatic Segmentation of Scattered and Distributed Objects
Proceedings of International Conference on Computer Recognition Systems,
International Conference on Computer Recognition Systems
2017
Marchisio, Marina; Rabellino, Sergio; Spinello, Enrico; Torbidone, Gianluca
E-learning as winning tool for supporting teaching and for enhancing the internationalization processes
ELEARNING AND SOFTWARE FOR EDUCATION,
International Scientific Conference eLearning and Software for Education
2017
Barana, Alice; Brancaccio, Anna; Esposito, Massimo; Fioravera, Michele; Marchisio, Marina; Pardini, Claudio; Rabellino, Sergio
PROBLEM SOLVING COMPETENCE DEVELOPED THROUGH A VIRTUAL LEARNING ENVIRONMENT IN A EUROPEAN CONTEXT
ELEARNING AND SOFTWARE FOR EDUCATION,
International Scientific Conference eLearning and Software for Education
2017
Marchisio, Marina; Rabellino, Sergio; Spinello, Enrico; Torbidone, Gianluca
Nuove tecnologie e metodologie per la formazione degli ufficiali dell'Esercito 4.0
Atti del Programma Scientifico DIDAMATICA 2017,
Didamatica 2017
2017
Luca DURELLI; Lidia Mislin STREITO; Marco IUDICELLO; Isabelle PERROTEAU; Sergio RABELLINO; Marinella CLERICO
Computer assisted interactive learning in medical education: flipped classrooms of clinical neurology for medicine students
Design the Future! EXTENDED ABSTRACTS DELLA MULTICONFERENZA EMEMITALIA2016,
EMEMITALIA 2016
2017
Marina, Marchisio; Sergio, Rabellino; Enrico, Spinello; Gianluca, Torbidone
La formazione e-learning avanzata per gli Ufficiali dell'Esercito attraverso ambienti virtuali di apprendimento
Design the Future! EXTENDED ABSTRACTS DELLA MULTICONFERENZA EMEMITALIA2016,
EMEMITALIA 2016
2017
Farid, MUHAMMAD SHAHID; Lucenteforte, Maurizio; Grangetto, Marco
Perceptual quality assessment of 3D synthesized images
Proceedings - IEEE International Conference on Multimedia and Expo,
2017 IEEE International Conference on Multimedia and Expo, ICME 2017
2017
Gianaria, Elena; Grangetto, Marco; Balossino, Nello
Kinect-Based Gait Analysis for People Recognition Over Time
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
19th International Conference on Image Analysis and Processing, ICIAP 2017
2017
Federico Alfonsetti; Sergio Rabellino
Personalizzare MOODLE con un nuovo font: il caso di EasyReading
Atti del MoodleMoot Italia 2017,
MOODLEMOOT Italia 2017
2017
Aldinucci M.; Bagnasco S.; Lusso S.; Pasteris P.; Rabellino S.; Vallero S.
OCCAM: A flexible, multi-purpose and extendable HPC cluster
Journal of Physics: Conference Series,
22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016
2017
Gianaria, Elena; Grangetto, Marco; Roppolo, Mattia; Mulasso, Anna; Rabaglietti, Emanuela
Kinect-based gait analysis for automatic frailty syndrome assessment
Image Processing (ICIP), 2016 IEEE International Conference on,
2016 IEEE International Conference on Image Processing (ICIP)
2016
Verdoja, F.; Bonafe, B.; Cavagnino, D.; Grangetto, M.; Bracco, C.; Varetto, T.; Racca, M.; Stasi, M.
Global and local anomaly detectors for tumor segmentation in dynamic pet acquisitions
2016 IEEE International Conference on Image Processing (ICIP),
2016 IEEE International Conference on Image Processing (ICIP)
2016
Alice, Barana; Marina, Marchisio; Sergio, Rabellino
Assessment of inpidual and collaborative e-learning in problem solving activities
Design the Future! EXTENDED ABSTRACTS DELLA MULTICONFERENZA EMEMITALIA2016,
EMEMITALIA 2016 - Design the Future!
2016
Alice, Barana; Alessandro, Bogino; Michele, Fioravera; Marina, Marchisio; Sergio, Rabellino
La piattaforma Moodle al servizio del test di accertamento dei requisiti minimi (tarm) per l’ingresso in università
Design the Future! EXTENDED ABSTRACTS DELLA MULTICONFERENZA EMEMITALIA2016,
EMEMITALIA 2016
2016
Alice, Barana; Alessandro, Bogino; Michele, Fioravera; Marina, Marchisio; Sergio, Rabellino
Open platform of self-paced MOOCs for the continual improvement of academic guidance and knowledge strengthening in tertiary education
Design the Future! EXTENDED ABSTRACTS DELLA MULTICONFERENZA EMEMITALIA2016,
EMEMITALIA 2016
2016
Farid, Muhammad Shahid; Lucenteforte, Maurizio; Grangetto, Marco
Blind depth quality assessment using histogram shape analysis
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2015,
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
2015
Fiandrotti, Attilio; Gaeta, Rossano; Grangetto, Marco
Pollution-resilient peer-to-peer video streaming with Band Codes
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo (ICME),
2015 IEEE International Conference on Multimedia and Expo (ICME)
2015
Fracastoro, Giulia; Verdoja, Francesco; Grangetto, Marco; Magli, Enrico
Superpixel-driven graph transform for image compression
Proceedings - International Conference on Image Processing, ICIP,
IEEE International Conference on Image Processing, ICIP 2015
2015
Farid, Muhammad Shahid; Lucenteforte, Maurizio; Grangetto, Marco
Objective quality metric for 3D virtual views
Proceedings - International Conference on Image Processing, ICIP,
IEEE International Conference on Image Processing, ICIP 2015
2015
Verdoja, Francesco; Grangetto, Marco
Fast Superpixel-Based hierarchical approach to image segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
18th International Conference on Image Analysis and Processing, ICIAP 2015
2015
Soccini, Agata Marta; Marello, Manuela; Balossino, Nello; Basso, Valter
'IXV-trajectory' and 'IXV-asset': Virtual reality applications for the aerothermodynamics analysis of IXV
2015 IEEE Virtual Reality Conference, VR 2015 - Proceedings,
IEEE Virtual Reality Conference, VR 2015
2015
Castagno, Paolo; Gaeta, Rossano; Grangetto, Marco; Sereno, Matteo
Device-to-device content distribution in cellular networks: a user-centric collaborative strategy
Proceedings of the IEEE GLOBECOM 2015,
IEEE GLOBECOM 2015
2015
Pomponiu, V.; Cavagnino, D.; Botta, M.; Nejati, H.
Information hiding techniques for infrared images: exploring the state-of-the art and challenges
Electro-Optical and Infrared Systems: Technology and Applications XII; and Quantum Information Science and Technology,
SPIE 9648, Electro-Optical and Infrared Systems: Technology and Applications XII; and Quantum Information Science and Technology
2015
Pomponiu, V.; Cavagnino, D.; Botta, M.
SS-SVD: Spread spectrum data hiding scheme based on Singular Value Decomposition
2015 International Symposium on Consumer Electronics (ISCE),
2015 International Symposium on Consumer Electronics (ISCE)
2015
Pomponiu, V.; Cavagnino, D.; Botta, M.
On the Security of the Schur-Based Watermarking Schemes
2015 IEEE International Conference on Digital Signal Processing (DSP),
2015 IEEE International Conference on Digital Signal Processing (DSP)
2015
Barana, Alice; Marchisio, Marina; Rabellino, Sergio
Automated Assessment in Mathematics
2015 IEEE 39th Annual Computer Software and Applications Conference (COMPSAC),
39th Annual Computer Software and Applications Conference (COMPSAC)
2015