Journal Information
Computational Visual Media
https://www.springer.com/journal/41095
Publisher:
Springer
ISSN:
2096-0433
Viewed:
7013
Tracked:
2
Call For Papers
Computational Visual Media is a peer-reviewed open access journal published under the brand SpringerOpen. It publishes 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:

• Editing and composition of visual media
• Geometric computing for images and video
• Geometry modeling and processing
• Machine learning for visual media
• Physically based animation
• Realistic rendering
• Recognition and understanding of visual media
• Visual computing for social media and cognitive robotics
• Visualization 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.

This is an open access journal, published quarterly by Tsinghua University Press and Springer. The open access fees (article-processing charges) are fully sponsored by Tsinghua University, China. Authors can publish in the journal without any additional charges.
Last updated by Dou Sun in 2020-03-18
Related Journals
CCFFull NameImpact FactorPublisherISSN
IEEE Transactions on Cognitive and Developmental Systems2.755IEEE2379-8920
Computational Mathematics and Modeling Springer1046-283X
Computers and CompositionElsevier8755-4615
Journal of Computational Physics3.553Elsevier0021-9991
Journal of Advanced Manufacturing SystemsWorld Scientific0219-6867
Journal of Computational and Applied Mathematics2.621Elsevier0377-0427
Computational Optimization and Applications2.167Springer0926-6003
Computational Geosciences2.413Springer1420-0597
bComputational Linguistics0.721MIT Press0891-2017
Computational Materials Science3.300Elsevier0927-0256
Related Conferences
Recommendation