Computational Visual Media

Aims & Scope

Computational Visual Media is a Single-Blinded peer-reviewed open access journal published quarterly by Tsinghua University Press and Springer under the SpringerOpen brand.

It publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media.

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 • Geometric computing for images and video • Interactive editing of visual media • Machine learning for visual media • Social media computing • Understanding of visual media • Visual media retrieval • Visualization and visual analytics.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Attention mechanisms in computer vision: A survey

  Citation: 1749

  Authors: Meng-Hao, Tian-Xing, Jiang-Jiang, Zheng-Ning, Peng-Tao, Tai-Jiang, Song-Hai, Ralph R., Ming-Ming, Shi-Min

• PVT v2: Improved baselines with pyramid vision transformer

  Citation: 1545

  Authors: Wenhai, Enze, Xiang, Deng-Ping, Kaitao, Ding, Tong, Ping, Ling

• PCT: Point cloud transformer

  Citation: 1470

  Authors: Meng-Hao, Jun-Xiong, Zheng-Ning, Tai-Jiang, Ralph R., Shi-Min

• Visual attention network

  Citation: 612

  Authors: Meng-Hao, Cheng-Ze, Zheng-Ning, Ming-Ming, Shi-Min

• Salient object detection: A survey

  Citation: 458

  Authors: Ali, Ming-Ming, Qibin, Huaizu, Jia

• RGB-D salient object detection: A survey

  Citation: 229

  Authors: Tao, Deng-Ping, Ming-Ming, Jianbing, Ling

• A survey of visual analytics techniques for machine learning

  Citation: 194

  Authors: Jun, Changjian, Weikai, Mengchen, Jiazhi, Shixia

• Automated brain tumor segmentation on multi-modal MR image using SegNet

  Citation: 159

  Authors: Salma, Xianfang, Xin, Len

• Transformers in computational visual media: A survey

  Citation: 106

  Authors: Yifan, Huapeng, Minxuan, Yingying, Kekai, Mengdan, Fan, Weiming, Feiyue, Changsheng

• A survey on deep geometry learning: From a representation perspective

  Citation: 96

  Authors: Yun-Peng, Yu-Kun, Fang-Lue, Chunpeng, Lin