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Special Issue "Machine Learning and Vision for Cultural Heritage"
A special issue of Sci (ISSN 2413-4155).
Deadline for manuscript submissions: 31 January 2020.
It is hardly an exaggeration to say that recent advances in machine learning have already demonstrably had an enormous impact on everyday life for billions of people across the world, generating febrile excitement both in the research community and amongst the general public. This technological progress coupled with the broader enthusiasm for the field have created an environment which is hungry for novel ideas and applications, including in realms previously not thought of as naturally linked with computer science.
One such domain concerns cultural heritage. Rather than alienating us from culture and the arts, machine learning and artificial intelligence provide an excellent opportunity to bring the former closer to the modern world, make them more exciting, and more readily understood and explored. This Special Issue aims at helping to facilitate exactly that.
We welcome high-quality submissions in any topic falling under the broad umbrella of cultural heritage, particularly encouraging those which describe work in novel application domains. Some of the domains of particular interest include numismatics, visual arts, musicology-related research, archeological object reconstruction and visualization, interactive tools, etc.
Dr. Ognjen Arandjelović
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sci is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.