Computational Visual Media

  in Journal   Posted on September 23, 2020

Publishes original, high-quality, and peer-reviewed research papers and review articles about novel ideas, methods and systems in visual media.Covers interdisciplinary topics that unite aspects of computer graphics, computer vision, image, and video processing, geometric computing, and machine learning.Utilizes a rapid review policy; with a target that authors can expect to receive notification of review results within 8 weeks.    Computational Visual Media is a peer-reviewed international academic journal under the brand SpringerOpen, publishing original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media. Computational Visual Media publishes articles that focus on, but are not limited to, the following areas: 3D visual media processingClassification and composition of visual mediaCognition of visual mediaContent security for visual mediaEnhancement and re-rendering of visual mediaGeometric computing for images and videoInteractive editing of visual mediaMachine learning for visual mediaSocial media computingUnderstanding of visual mediaVisual media retrievalVisualization and visual analytics Other interdisciplinary research into visual media that combines aspects of computer graphics, computer vision, image and video processing, geometric computing, and machine learning is also within the journal’s scope. The journal is open access, and published quarterly by Tsinghua University Press and Springer, and sponsored by Tsinghua University, China.

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