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CORDIS - Risultati della ricerca dell’UE
CORDIS

MEMEX: MEMories and EXperiences for inclusive digital storytelling

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Project impact analysis (si apre in una nuova finestra)

A report with an analysis of the project impact given the endusers feedback and initial pilot study development

Procedures for audience development and adapted benchmarking tools (si apre in una nuova finestra)

A report with best practices for audience development and the related benchmarking tools using the MEMEX system

Exhibition of showcased stories in selected venues (si apre in una nuova finestra)

A report on selected stories developed during the MEMEX project and showcased in selected venues

Communication & dissemination plan - update (si apre in una nuova finestra)

A report with an update of D71 adapting the communication and dissemination strategies to the project advancements and the pilots progresses

Communication and Dissemination Report with Policy Brief (si apre in una nuova finestra)

A report over the activities related to communication dissemination and policy briefs

Communication and Dissemination Report with Policy Brief - update (si apre in una nuova finestra)

A final update of D72 over the activities related to communication dissemination and policy briefs

Definition of end user scenarios and requirements (si apre in una nuova finestra)

A report including a description of the project endusers their involvement in the pilots studies and their requirements

Website deployment and communication & dissemination plan (si apre in una nuova finestra)

A report presenting the MEMEX website and the planned communication and dissemination strategies during the project

Pilots deployment and evaluation report (si apre in una nuova finestra)

A report describing the pilot deployment status possible criticalities and metrics to evaluate the success of the pilot

SRL positioning and strategy to step forward (si apre in una nuova finestra)

A report providing an indepth analysis of the progress of the project in terms of SRL and proposing strategies to further improve the SRL of MEMEX

Pilots best practices report (si apre in una nuova finestra)

A report defining the best practices as learned during the three pilots in MEMEX

Knowledge graph access API (si apre in una nuova finestra)

A software to access and modify the Knowledge Graph structure

Semi-automatic narrative tool with advanced KG interaction (si apre in una nuova finestra)
Structured data preparation and ingestion (si apre in una nuova finestra)

A dataset for the MEMEX app and a software for accessing the information

Static tool for narrative creation (si apre in una nuova finestra)

A software for the digital creation of stories from given content without the use of knowledge graphs

Open source knowledge graph software infrastructure (si apre in una nuova finestra)

A software to build the knowledge graph infrastructure of MEMEX

Interactive narrative tool with simple KG interaction (si apre in una nuova finestra)

A software for the generation of stories that uses nodes and links from the knowledge graph

Robust user localisation from CH assets detection (si apre in una nuova finestra)

A software to localise users in the physical space given semantic annotations of relevant site of interest

Data Management Plan (si apre in una nuova finestra)

A report providing the data management plan for the MEMEX project

Data Management Plan - update (si apre in una nuova finestra)

A report updating D82 given the data generated during the three pilots of the project

Pubblicazioni

Machine Learning for Cultural Heritage: A Survey (si apre in una nuova finestra)

Autori: Marco Fiorucci, Marina Khoroshiltseva, Massimiliano Pontil, Arianna Traviglia, Alessio Del Bue, Stuart James
Pubblicato in: Pattern Recognition Letters, Numero 133, 2020, Pagina/e 102-108, ISSN 0167-8655
Editore: Elsevier BV
DOI: 10.1016/j.patrec.2020.02.017

Fast re-OBJ: real-time object re-identification in rigid scenes (si apre in una nuova finestra)

Autori: Ertugrul Bayraktar; Yiming Wang; Alessio DelBue
Pubblicato in: Machine Vision and Applications, Numero vol. 33, No. 97, 2022, ISSN 0932-8092
Editore: Springer Verlag
DOI: 10.1007/s00138-022-01349-z

Leveraging Commonsense for Object Localisation in Partial Scenes (si apre in una nuova finestra)

Autori: Francesco Giuliari, Geri Skenderi, Marco Cristani, Alessio Del Bue, Yiming Wang
Pubblicato in: EEE Transactions on Pattern Analysis and Machine Intelligence, 2023, ISSN 1939-3539
Editore: IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI: 10.1109/tpami.2023.3272523

Locality-aware subgraphs for inductive link prediction in knowledge graphs (si apre in una nuova finestra)

Autori: Hebatallah A. Mohamed, Diego Pilutti, Stuart James, Alessio Del Bue, Marcello Pelillo, Sebastiano Vascon
Pubblicato in: Pattern Recognition Letters, 2023, ISSN 0167-8655
Editore: Elsevier BV
DOI: 10.1016/j.patrec.2023.02.004

Towards Critical Heritage in the wild: Analysing Discomfort through Collaborative Autoethnography (si apre in una nuova finestra)

Autori: Paulo Bala, Pedro Sanches, Vanessa Cesário, Sarah Leão, Catarina Rodrigues, Nuno Jardim Nunes, Valentina Nisi
Pubblicato in: CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Editore: Association for Computing Machinery
DOI: 10.1145/3544548.3581274

Lights: Light Specularity Dataset For Specular Detection In Multi-View (si apre in una nuova finestra)

Autori: Mohamed Dahy Elkhouly, Theodore Tsesmelis, Alessio Del Bue, Stuart James
Pubblicato in: Proceedings of IEEE International Conference on Image Processing (ICIP), 2021
Editore: Computer Vision and Pattern Recognition
DOI: 10.1109/icip42928.2021.9506354

Writing with (Digital) Scissors: Designing a Text Editing Tool for Assisted Storytelling Using Crowd-Generated Content (si apre in una nuova finestra)

Autori: Paulo Bala, Stuart James, Alessio Del Bue, Valentina Nisi
Pubblicato in: Proceedings of the Interactive Storytelling. ICIDS 2022, 2022
Editore: SPRINGER
DOI: 10.1007/978-3-031-22298-6_9

Mip-NeRF RGB-D: Depth Assisted Fast Neural Radiance Fields (si apre in una nuova finestra)

Autori: Arnab Dey, Yassine Ahmine, Andrew I. Comport
Pubblicato in: Proceedings of International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision, 2022
Editore: Union Agency, Science Press
DOI: 10.48550/arxiv.2205.09351

Spatial Commonsense Graph for Object Localisation in Partial Scenes (si apre in una nuova finestra)

Autori: Francesco Giuliari, Geri Skenderi, Marco Cristani, Yiming Wang, Alessio Del Bue
Pubblicato in: Proceedings of Computer Vision and Pattern Recognition 2022, 2022
Editore: IEEE/CVF
DOI: 10.48550/arxiv.2203.05380

Inclusive Digital Storytelling: Artificial Intelligence and Augmented Reality to Re-centre Stories from the Margins (si apre in una nuova finestra)

Autori: Valentina Nisi, Stuart James, Paulo Bala, Alessio Del Bue, Nuno Jardim Nunes
Pubblicato in: International Conference on Interactive Digital Storytelling (ICIDS 2023), 2023, Pagina/e 117–137, ISBN 978-3-031-47655-6
Editore: Springer
DOI: 10.1007/978-3-031-47655-6_8

Collecting Qualitative Data During COVID-19 (si apre in una nuova finestra)

Autori: Vanessa Cesário, Valentina Nisi
Pubblicato in: Human-Computer Interaction – INTERACT 2021. INTERACT 2021., 2021
Editore: Springer
DOI: 10.1007/978-3-030-85607-6_41

Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding

Autori: Hebatallah A. Mohamed, Sebastiano Vascon, Feliks Hibraj, Stuart James, Diego Pilutti, Alessio Del Bue and Marcello Pelillo
Pubblicato in: Proceedings of Pattern Recognition for Cultural Heritage (PatReCH) at ICPR, 2022
Editore: IEEE

Promoting Social Inclusion Around Cultural Heritage Through Collaborative Digital Storytelling (si apre in una nuova finestra)

Autori: Vanessa Cesário, Albert Acedo, Valentina Nisi, Nuno Nunes
Pubblicato in: Proceedings of the International Conference on ArtsIT, Interactivity and Game Creation, 2022
Editore: SPRINGER
DOI: 10.1007/978-3-030-95531-1_17

A Co-Design Method for Museums to Engage Migrant Communities with Cultural Heritage (si apre in una nuova finestra)

Autori: Vanessa Cesário, Valentina Nisi
Pubblicato in: DRS 2022 Conference proceedings, 2022
Editore: DRS
DOI: 10.21606/drs.2022.523

“Before gentrification, we claim for habitation”: Eliciting Values and Assets through Cultural Heritage Storytelling (si apre in una nuova finestra)

Autori: Valentina Nisi, Paulo Bala, Hollie Bostock, Vanessa Cesário, Nuno Jardim Nunes
Pubblicato in: DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023, Pagina/e 2423–2436
Editore: ACM
DOI: 10.1145/3563657.3596124

People-Place Interactions: From Pictures and Stories to Places and Sense of Place (si apre in una nuova finestra)

Autori: Vanessa Cesário, Albert Acedo, Valentina Nisi, Nuno Nune
Pubblicato in: IASDR 2021: With Design: Reinventing Design Modes, 2022
Editore: SPRINGER
DOI: 10.1007/978-981-19-4472-7_60

Impalpable Narratives: How to capture intangible cultural heritage of migrant communities (si apre in una nuova finestra)

Autori: Valentina Nisi, Hollie Bostock, Vanessa Cesário, Albert Acedo, Nuno Nunes
Pubblicato in: C&T '21: Proceedings of the 10th International Conference on Communities & Technologies - Wicked Problems in the Age of Tech, 2021
Editore: Association for Computing Machinery
DOI: 10.1145/3461564.3461575

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