Call for Papers |
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Call for Papers Special Issue at Multimedia Tools and Applications, Springer Heritage Preservation in the Digital Age: Advances in machine learning, monomodal and multimodal processing, and human-machine interaction *** https://link.springer.com/journal/11042/updates/26502650 *** Aims and Scope This special issue focuses on analyzing, processing and valorizing all types of data related to cultural heritage, including tangible and intangible heritage. As stated by UNESCO, cultural heritage provides societies with a wealth of resources inherited from the past, created in the present for the benefit of future generations. The massive digitization of historical analogue resources and production of born digital documents provide us with large volumes of varied multimedia heritage data (images, maps, text, video, 3D objects, multi-sensor data, etc.), which represent an extremely rich heritage that can be exploited in a wide variety of fields, from research in social sciences and computational humanities to land use and territorial policies, including urban modeling, digital simulation, archaeology, tourism, education, culture preservation, creative media and entertainment. In terms of research in computer science, artificial intelligence, and digital humanities, they address challenging problems related to the diversity, specificity or volume of the media, the veracity of the data, and the different user needs with respect to engaging with this rich material and the extraction of value out of the data. These challenges are reflected in the corresponding sub-fields of machine learning, signal processing, mono/multi-modal techniques and human-machine interaction. The objective of this special issue is to present and discuss the latest and most significant trends on analysis, understanding and promotion of heritage contents, focusing on advances on machine learning, signal processing, mono/multi-modal techniques, and human-machine interaction. We welcome research contributions for (but not limited to) the following topics: Monomodal analysis: image, text, video, 3D, music, sensor data and structured referentials Information retrieval for multimedia heritage AI assisted archaeology and heritage data processing Multi-modal deep learning and time series analysis for heritage data Heritage modeling, visualization, and virtualization Smart digitization and reconstruction of heritage data Open heritage data and bench-marking The scope of targeted applications is extensive and includes: Analysis, archaeometry of artifacts Diagnosis and monitoring for restoration and preventive conservation Geosciences / Geomatics for cultural heritage Education Smart and sustainable tourism Urban planning Digital Twins *** Important Dates Submission deadline: 31 March 2024 Review period: 1 April - 30 July 2024 Notification: 31 July 2024 Author revision deadline: 15 October 2024 Final notification: 31 October 2024 *** Guest Editors Valerie Gouet-Brunet, IGN-ENSG, University of Gustave Eiffel ([email protected]) Ronak Kosti, Piscsart AI Lab ([email protected]) Li Weng, Zhejiang Financial College ([email protected]) *** Submission Guidelines Authors should prepare their manuscript according to the Instructions for Authors available from the Multimedia Tools and Applications website. Authors should submit through the online submission site at https://www.editorialmanager.com/mtap/default.aspx and select “SI 1250- Heritage Preservation in the Digital Age: Advances in machine learning, monomodal and multimodal processing, and human-machine interaction” when they reach the “Article Type” step in the submission process. Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. |
Credits and Sources |
| [1] MTAP special issue 2024 : Heritage Preservation in the Digital Age: Advances in machine learning, monomodal and multimodal processing, and human-machine interaction |
