Header Information

NPRP9-181-1-036
NPRP 09
Qatar University
Award Tech. Completed
09 Nov 2016
Prof. Abdelaziz BOURAS
3 Year(s)
23 Sep 2020
New
CEPROQHA: Cost-Effective Preservation and Restoration of Qatar Cultural Heritage through Advanced 3D Holoscopic Imaging

Project Summary
The state of Qatar is driving an exciting and ambitious new “Smart Nation” initiative for the creation of a smart, modern and future-proof 21st century state with digital preservation of national assets right at its heart. In the light of future representation and management of cultural heritage assets, a number of interesting opportunities and demands arise if we consider the significant progress in the multimedia sector. The documentation of cultural assets is inherently a multimedia process, addressed through digital representation of the shape, appearance and preservation condition of the Cultural Heritage (CH) object. CH assets are not clone-able physically or impeccably restorable, and hence their curation as well as long-term preservation require the leveraging of advanced 3D modelling technologies. However, this poses serious challenges since the generation of high quality 3D models is still very time-consuming and expensive, not least because the modelling is carried out for individual objects rather than for entire collections. Furthermore, the outcome of digital reconstructions is frequently provided in formats that are not interoperable, and therefore cannot be easily accessed and/or re-used and understood by scholars, curators or those working in cultural heritage industries, thereby resulting in serious risks menacing the sustainability of the reconstructions. Indeed, the digital model is progressively becoming the actual representation of a cultural heritage asset for anybody, anywhere and anytime, and therefore this project intends to acknowledge the changing role that reconstruction, visualisation and management now play in the curation of heritage and its analysis. Three use cases will be presented: - Use case 1 “Multi-format 3D cultural asset digitalisation” - User case 2 “User-adaptive 3D cultural asset visualisation” - User case 3 “On-site digitalisation of culture heritage assets” These use cases highlight the following key innovation areas that will be brought forward by CEPROQHA: 1. Cost-effective acquisition and 3D modelling: This includes technologies that are easy to use and portable to acquire data at remote sites such as excavations areas. The technology must be independent of the physical dimension of the asset or the place, where it is located. 2. Interoperability and representation of 3D cultural heritage assets: The resulting 3D models must be available in a format that can be converted and re-formatted for any purpose such as different display types or different representation formats like virtual walk-through. Future 3D visualisation techniques are required following the fast development in the media industry. Hence, interactive visualisation of static 3D objects as well as dynamic visual experience by virtual walk through is required. 3. Accessibility and content management: All digitised assets must be accessible anywhere at any time. The content management shall support user annotation, search and retrieval capabilities as well as tools for user-specific data processing and visualisation. Data management should preferably be performed using cloud-based services and storage capabilities. In the cultural heritage domain, there exist mainly three different types of assets that are relevant for documentation through 3D modelling, i.e. sculptures, reliefs and large-scale historical monuments or sites. Digital representation, management of these assets and immediate access and display are required mainly in two areas. The first is the area of curation, where easy access to Qatari cultural heritage assets will improve the scientific outcome, save time and preserve the original objects. The second area is scholarly, where new educational avenues are approached to improve the quality and attractiveness of Qatari museums. This is mainly achieved by interaction with content and new forms of visual display of cultural heritage objects. Hence, 3D scanning of CH assets, 3D reconstruction and modelling, storage and finally access, interaction and display of 3D data need to be investigated as a joint process taking into account the interdependencies between all of its components. By looking at the different types of assets, technologies need to be developed that can handle CH assets of different sizes, provide different levels of quality and support a large variety of displays and visualisation methods. CEPROQHA will examine these issues and develop advanced technologies that are able to create, process, reconstruct and display high-quality 3D models of cultural heritage assets in various interoperable formats and representations.
Cultural heritage; 3D modeling; Restoration; Interoperability; preservation
Basic research
1. Natural Sciences
1.2 Computer and Information Sciences
Computer Sciences
Yes
No
6. Humanities
6.4 Arts (Arts, History of Arts, Performing Arts, Music)
Arts
No
Yes

Institution
Qatar University
Qatar
Submitting Institution
Brunel University
United Kingdom
Collaborative Institution

Personnel
Lead PI
Prof. Abdelaziz BOURAS
Qatar University
PI
Dr. M Rafiq Swash
Brunel University
PI
Prof. Sebti Foufou
Qatar University
PI
Dr. Loay Ismail
Qatar University
PI
Prof. Abdul Sadka
Brunel University

Outputs/Outcomes
Conference Paper
Group of Pictures Effects on Proposed Multiview Video Coding Scheme
Seif Allah El Mesloul Nasri Abdul Hamid Sadka Noureddine Doghmane Khaled Khelil
DOI:10.1109/TSP.2017.8076047
Conference Paper
Digitization and preservation of cultural heritage: The CEPROQHA approach
Abdelhak Belhi Abdelaziz Bouras Sebti Foufou
DOI:10.1109/SKIMA.2017.8294117
Conference Paper
Digitization and Preservation of Cultural Heritage Products
Abdelhak Belhi Sebti Foufou Abdelaziz Bouras Abdul H. Sadka
DOI:10.1007/978-3-319-72905-3_22
Creative Works
CEPROQHA project: Preservation and Restoration of Qatar Cultural Heritage through Advanced Holoscopic 3D Imaging
Abdelaziz Bouras Abdelhak Belhi Digital Meets Heritage (Editorial board)
CRWO68431
Journal Paper
Leveraging Known Data for Missing Label Prediction in Cultural Heritage Context
Abdelhak Belhi Abdelaziz Bouras Sebti Foufou
ISSN:20763417
Journal Paper
3D Holoscopic Imaging for Cultural Heritage Digitalisation
Taha Alfaqheri Seif Allah El Mesloul Nasri Abdul Hamid Sadka
ISSN:23218169
Journal Paper
Innovative 3D Depth Map Generation From A Holoscopic 3D Image Based on Graph Cut Technique
Bodor Almatrouk Mohammad Rafiq Swash Abdul Hamid Sadka
ISSN:23218169
Book
Recent Trends in Computer Applications
Seif Allah El Mesloul Nasri Abdul Hamid Sadka Noureddine Doghmane Khaled Khelil
ISBN:9783319899138
Conference Paper
Towards a Hierarchical Multitask Classification Framework for Cultural Heritage
Abdelhak Belhi Abdelaziz Bouras Sebti Foufou
DOI:10.1109/AICCSA.2018.8612815
Journal Paper
Investigating 3D holoscopic visual content upsampling using super-resolution for cultural heritage digitization
Abdelhak Belhi Abdelaziz Bouras Taha Alfaqheri Akuha Solomon Aondoakaa Abdul Hamid Sadka
ISSN:09235965
Conference Paper
Towards an Inpainting Framework for Visual Cultural Heritage
Nesreen Hamdallah Jboor Abdelhak Belhi Abdulaziz Khalid Al-Ali Abdelaziz Bouras Ali Jaoua
DOI:10.1109/JEEIT.2019.8717470
Book
Fourth International Congress on Information and Communication Technology
Abdelhak Belhi Houssem Gasmi Abdelaziz Bouras Taha Alfaqheri Akuha Solomon Aondoakaa Abdul H. Sadka Sebti Foufou
ISBN:9789813293434
Conference Paper
Deep Learning and Cultural Heritage: The CEPROQHA Project Case Study
Abdelhak Belhi Houssem Gasmi Abdulaziz Khalid Al-Ali Abdelaziz Bouras Sebti Foufou Xi Yu Haiqing Zhang
DOI:10.1109/SKIMA47702.2019.8982520
Conference Paper
OntoM: An Ontological Approach for Automatic Classification
Tahani H. Abu Musa, Abdelaziz Bouras, Abdelhak Belhi, Houssem Gasmi
DOI:10.1109/ICIoT48696.2020.9089449
Conference Paper
CNN Features vs Classical Features for Largescale Cultural Image Retrieval
Abdelhak Belhi Abdelaziz Bouras
DOI:10.1109/ICIoT48696.2020.9089643
Journal Paper
Investigating low-delay deep learning-based cultural image reconstruction
Abdelhak Belhi Abdulaziz Khalid Al-Ali Abdelaziz Bouras Sebti Foufou Xi Yu Haiqing Zhang
ISSN:18618219
Journal Paper
Low delay error resilience algorithm for H.265|HEVC video transmission
Taha T. Alfaqheri Abdul Hamid Sadka
ISSN:18618219
Journal Paper
A machine learning framework for enhancing digital experiences in cultural heritage
Abdelhak Belhi, Abdelaziz Bouras Abdulaziz Khalid Al-Ali Sebti Foufou
ISSN:17410398
Conference Paper
Digital Heritage Enrichment through Artificial Intelligence and SemanticWeb Technologies
Abdelhak Belhi Tahani Abu-Musa Abdulaziz Khalid Al-Ali Abdelaziz Bouras Sebti Foufou Xi Yu Haiqing Zhang
DOI:10.1109/ICCIS49662.2019.00039
Journal Paper
Low-delay single holoscopic 3D computer-generated image to multiview images
Taha Alfaqheri Akuha Solomon Aondoakaa Mohammad Rafq Swash Abdul Hamid Sadka
ISSN:18618219
Book
Proceedings of Fifth International Congress on Information and Communication Technology
Hosameldin Osman Ahmed Abdelhak Belhi Taha Alfaqheri Abdelaziz Bouras Abdul H. Sadka Sebti Foufou
ISBN:9789811558597
Book
Data Analytics for Cultural Heritage Current Trends and Concepts
Abdelhak Belhi Abdelaziz Bouras Abdulaziz Al-Ali Abdul Hamid Sadka
ISBN:9783030667764