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MTAP special issue 2024 : Heritage Preservation in the Digital Age: Advances in machine learning, monomodal and multimodal processing, and human-machine interaction

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Link: https://link.springer.com/journal/11042/updates/26502650
 
When N/A
Where N/A
Submission Deadline Apr 15, 2024
Notification Due Jul 31, 2024
Final Version Due Oct 15, 2024
Categories    cultural heritage   multimedia technology   machine learning   artificial intelligence
 

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

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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: 15 April 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 (valerie.gouet@ign.fr)
Ronak Kosti, Piscsart AI Lab (ronakfau@gmail.com)
Li Weng, Zhejiang Financial College (lweng@zfc.edu.cn)

*** 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.

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