Rei Kawakami (Tokyo Institute of Technology)
Takeshi Oishi (the University of Tokyo)
Katsushi Ikeuchi (Microsoft)
Currently, many cultural assets around the world have been deteriorating or being destroyed due to natural and man-made disasters such as flood, earthquakes, fires. For example, fires and resulting building-loss at Shuri castle and Notre Dame temple are new to our memories. These cultural assets, common heritage of mankind, can be digitally preserved by computer vision technologies and in case such disaster occurs, heritage objects can be restored virtually using computer vision technologies or help physical restoration using digital data obtained Computer Vision technologies. This sub-area of computer vision, referred to as e-Heritage, is the main topic of this special issue. Namely, this special issue will feature papers on how CV technologies are used for preservation and restoration and how CV technologies can be used to provide new findings in archaeologies and related areas. The topics for this issue include but are not not limited to:
- sensors and software for e-Heritage modeling
- sensors and software for e-Heritage displaying
- software for e-Heritage restoration and analysis
- e-Heritage representative projects
Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue.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. Manuscripts will be subject to a peer reviewing process and must conform to the author guide lines available on the IJCV website at: https://www.springer.com/11263 .
Please select “Computer Vision and Cultural Heritage” at the beginning of the submission process.
Submission deadline: Jan 15th, 2021
1st round review notification: April 9th, 2021
Acceptance notification: July 2nd, 2021
Camera-ready deadline: July 30th, 2021
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals.
All papers will be reviewed following standard reviewing procedures for the Journal.
Papers must be prepared in accordance with the Journal guidelines: www.springer.com/11263
Springer provides a host of information about publishing in a Springer Journal on our Journal Author Resources page, including FAQs, Tutorials along with Help and Support.
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