The IPOL Initiative: Publishing and Testing Algorithms on Line for Reproducible Research in Image Processing
Nicolas Limare,Jean-Michel Morel +1 more
- Vol. 4, pp 716-725
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TLDR
The technical challenges raised by the foundation of this new kind of journal and its scientific evaluation issues are described and the potential impact on the development of image science is analyzed.Abstract:
Image Processing On Line (IPOL) publishes image processing and image analysis algorithms, described in ac-curate literary form, coupled with code. It allows scientists to check directly the published algorithms on line by providing a web execution interface on any uploaded image. This installation acts the universality of image science. It permits to transcend the artificial segmentation of the research community in groups using this or that image software, or working on dedicated incompatible image formats. It promotes reproducible research, and the establishment of a state of the art verifiable by all, and on any image. This paper describes the technical challenges raised by the foundation of this new kind of journal and its scientific evaluation issues. It finally analyzes the first publications, to demonstrate its potential impact on the development of image science.read more
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Reproducible Research: Addressing the Need for Data and Code Sharing in Computational Science
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Multimedia processing using deep learning technologies, high‐performance computing cloud resources, and Big Data volumes
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