Call For Papers

Please download the CFP flyer here(Click).

The primary focus of the conference is on new and original research results in the areas of theoretical findings, design, implementation, and applications. Both theoretical paper and simulation (experimental) results are welcome. Topics of interest include, but are not limited to, the following:

Multimedia and Applications:

Mathematical Morphology

Multimedia Systems and Applications

Motion and Tracking Algorithms and Applications

Novel Image Processing Applications


Multi-resolution Imaging Techniques

Video Analysis

Techniques and Tools for Imaging and Vision:

Watermarking Methods and Protection + Wavelet Methods

Segmentation Techniques

Industrial Inspection

Software Tools for Imaging

Nondestructive Evaluation

Soft Computing Methods in Image Processing and Vision

Computer Vision and Recognition:

Special-purpose Machine Architectures for Vision

Active and Robot Vision

Medical and Geospatial Imaging:

Biometric Authentication

Medical Image Processing and Analysis

Camera Networks and Vision

Novel Document Image Understanding Techniques

Cognitive and Biologically Inspired Vision

Geographic Information System

Face and Gesture Recognition

Remote Sensing

Fuzzy and Neural Techniques in Vision

Pattern Recognition and Machine Learning:

Image Feature Extraction

Stereo Vision

Machine Learning Technologies for Vision

Bayesian Methods in Pattern Recognition and Matching

Novel Vision Application and Case Studies

Case studies and Emerging technologies

Object Recognition

Clustering Techniques

Sensors and Early Vision

Dimensionality Reduction Methods in Pattern Recognition

Image Processing and Analysis:

Ensemble Learning Algorithms

3D Imaging

Invariance in Pattern Recognition

Enhancement Techniques

Knowledge-based Recognition

Image Compression, Coding, and Encryption

Parsing Algorithms

Image Data Structures and Databases

Statistical Pattern Recognition

Image Generation, Acquisition, and Processing

Structural and Syntactic Pattern Recognition

Image Geometry and Multi-view Geometry

Supervised and Un-supervised Classification Algorithms

Image Restoration

Symbolic Learning

Image-based Modeling and Algorithms