International Conference on Computer Vision and Data Mining IEEE on September 19-21, 2025 in London, United Kingdom

- Short Name: IEEE
- Event Type: Conference
- Presentation: Hybrid
- Website URL: https://ais.cn/u/iqEnQr
- Contact E-mail: [email protected]
- Location: London, United Kingdom
- Date: September 19-21, 2025
- Final Submission: August 20, 2025
- Organization: Brunel University of London
- Conference Tags: computer vision data mining computer science algorithms software engineering vision science pattern recognition
IEEE 2025 6th International Conference on Computer Vision and Data Mining (ICCVDM 2025) will be held from September 19 to 21, 2025, in London, UK.
Conference Website: https://ais.cn/u/iqEnQr
---Call For Papers---
The topics of interest for submission include, but are not limited to:
◕ Computational Science and Algorithms
· Algorithms
· Automated Software Engineering
· Computer Science and Engineering
· Database and Data Mining
· Data Compression
· Data Encryption
· Data Mining
......
◕ Vision Science and Engineering
· Image/video analysis
· Feature extraction, grouping and division
· Scene analysis
· Pattern recognition
· Human-computer interaction
......
◕ Software Process and Data Mining
· Software Engineering Practice
· Web Engineering
· Multimedia and Visual Software Engineering
· Software Maintenance and Testing
· Association rules
· Data cleaning
· Data integration
......
---Publication---
All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of ICCVDM 2025 will be published in IEEE and will be submitted to EI Compendex,Scopus for indexing.
---Important Dates---
Full Paper Submission Date: July 6, 2025
Registration Deadline: August 5, 2025
Final Paper Submission Date: August 20, 2025
Conference Dates: September 19-21, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
https://ais.cn/u/iqEnQr
Name: Brunel University of London
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