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Computational Visual Media - Tsinghua University Press | 2024 Impact Factor:6.9 | Cite Score:28.5 | Q1

Computational Visual Media Journal With Cite Score

Impact Factor and Journal Rank of Computational Visual Media

  • About: Computational Visual Media is a single-blinded peer-reviewed open access journal published quarterly by Tsinghua University Press and Springer under the SpringerOpen brand. The journal publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media.
  • Objective:
    Computational Visual Media aims to advance the field of visual media by disseminating innovative research and methodologies. The journal serves as a platform for researchers and practitioners to share groundbreaking work that addresses various aspects of visual media processing and analysis.
  • Focus Areas:
    The journal publishes articles that focus on, but are not limited to, the following areas: 3D visual media processing, classification and composition of visual media, cognition of visual media, content security for visual media, enhancement and re-rendering of visual media, and geometric computing for images and video.
  • Peer Review Process:
    All submissions to Computational Visual Media undergo a single-blinded peer-review process to ensure the publication of high-quality research. The journal editorial board comprises experts in various sub-disciplines of visual media, ensuring that reviews are thorough, fair, and conducted by knowledgeable specialists.
  • Innovation and Impact:
    By promoting interdisciplinary research and the application of computational methods, Computational Visual Media drives innovation in the visual media field. The journal highlights advancements that have significant implications for visual media processing, analysis, and security, contributing to the development of new technologies and applications.
  • Global Reach and Accessibility:
    With contributions from an international community of researchers, Computational Visual Media facilitates the exchange of knowledge across borders. The journal commitment to open access publishing ensures that cutting-edge developments in visual media are accessible to a global audience.

  • Editor-in-Chief:  Shi-Min Hu

  • Scope: 3D Visual Media Processing:
    Techniques and algorithms for the processing and manipulation of 3D visual data, including modeling, rendering, and animation.
  • Classification and Composition of Visual Media:
    Methods for the classification, organization, and composition of various forms of visual media, enhancing their usability and accessibility.
  • Cognition of Visual Media:
    Research on how visual media is perceived and understood by humans, including cognitive models and user interaction studies.
  • Content Security for Visual Media:
    Approaches for ensuring the security and integrity of visual media content, including watermarking, encryption, and authentication.
  • Enhancement and Re-rendering of Visual Media:
    Techniques for improving the quality and aesthetics of visual media, including image and video enhancement, re-rendering, and restoration.
  • Geometric Computing for Images and Video:
    Computational methods for geometric analysis and processing of images and video, including shape analysis, motion capture, and 3D reconstruction.
  • Latest Research Topics for PhD in Machine Learning
  • Latest Research Topics for PhD in Artificial Intelligence

  • Print ISSN:  20960433

    Electronic ISSN:  20960662

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded (SCIE)

  • Imapct Factor 2024:  6.9

  • Subject Area and Category:   Computer Science , Artificial Intelligence , Computer Graphics and Computer-Aided Design , Computer Vision and Pattern Recognition

  • Publication Frequency:  

  • H Index:  31

  • Best Quartile:

    Q1:  Artificial Intelligence

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  28.5

  • SNIP:  5.538

  • Journal Rank(SJR):  3.166