2024 International Joint Conference on Computer Vision and Pattern Recognition (ccvpr 2024)

★2024 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2024) -- Ei Compendex & Scopus—Call for papers
August 30-September 1, 2024｜Shanghai, China｜Website: www.ccvpr.org

★CCVPR 2024 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Computer Vision and Pattern Recognition can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field.

★Publication and Indexing
All accepted and presented papers will be published in a digital conference proceedings, which will send to be reviewed and indexed by major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar etc.
Accepted and excellent extended papers can be recommended to publish in the following journals:
---International Journal of Computer Graphics & Animation (IJCGA)
---Big Data Analysis Based Network
---PeerJ Computer Science "Smart Cities"
---Artificial Intelligence Empowered IoT Big Data Analytics Towards Smart Cities
---Special Issue "Artificial Intelligence Empowered Internet of Things"
---Human-centric Intelligent Systems

★Keynote Speakers
Prof. Xinguo Yu, Central China Normal University, China
Prof. Petia Radeva, Universitat de Barcelona, Spain

★Program Preview/ Program at a glance
August 30: Registration + Icebreaker Reception
August 31: Opening Ceremony+ KN Speech+ Technical Sessions
September 1: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
Submit Via CMT: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FCCVPR2024

★Contact Us
Ms. Mia J. Lee
Email: info@ccvpr.org
Website: www.ccvpr.org

★Topics of Interest
Multimedia and Applications:
Multimedia Systems and Applications
Novel Image Processing Applications
Video Analysis
Watermarking Methods and Protection + Wavelet Methods
Industrial Inspection
Nondestructive Evaluation
Computer Vision and Recognition:
Active and Robot Vision
Biometric A