The first international Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022) is a biennial conference organized by Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS) India, during August 12, 2022. ACVAIT 2022, is dedicated towards advances in the theme areas of Computer Vision, Image Processing, Pattern Recognition, Artificial Intelligence, Machine Learning, Human Computer Interactions, Biomedical Image Processing, Geospatial Technology, Hyperspectral image processing and allied technologies but not limited to. ACVAIT 2022, invites young and/or advanced researchers contributing in the theme area of the conference and also provide them platform for discussing their scientific contributions / research findings with the domain experts, exchange ideas with them and foster closer collaboration between members from the top universities / Higher Education Institutes (HEI). ACVAIT 2022, inviting domain specific work from research scholars, academician, machine learning & AI scientist, industry experts to contribute their scientific contribution in the following areas but not limited to.
Shape representation
Biometrics: face matching, iris recognition, footprint verification and many more.
Statistical, Structural and syntactic pattern recognition
Brain Computer Interface and Human Computer Interactions
Feature extraction and reduction
Biomedical Image Processing
Color and texture analysis
Speech analysis and understanding
Image segmentation
Speaker verification & Synthesis
Image compression, coding and encryption
Clustering and classification
Object recognition, scene understanding and video analytics
Machine learning algorithms
Image matching (pattern matching)
Extreme learning machine
Content based image retrieval and indexing
Artificial Intelligence Trends in Deep learning
Optical character recognition
Big data
Image & Video Forensics
Information retrieval
Pattern recognition and machine learning for Internet of Things
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