IPRIA2021 – 5th International conference on Pattern Recognition and Image Analysis ( online conference )

Event Dates

Apr 28, 2021 - Apr 29, 2021

Location

online (Kashan, Iran)

Submission Deadline

Jan 01, 2021

IPRIA 2021

5th International Conference on Pattern Recognition and Image Analysis ( online conference )

Link: http://ipria2021.ismvipconf.ir/

When Apr 28, 2021 – Apr 29, 2021

Where online conference(Kashan, Iran)

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The International conference on Pattern Recognition and Image Analysis (IPRIA) is an excellent and premier forum comprising several scientific tracks organized by Iranian Society of Machine Vision and Image Processing (ISMVIP). The 5th IPRIA conference will be held online at the Department of Electrical and Computer Engineering, University of Kashan, Kashan, Iran, April 28 – 29, 2021.

( online conference )

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Publication and Indexing

Accepted papers will be published in the conference electronic proceedings (requested archival in IEEE Xplore for English papers and CIVILICA for Farsi papers) conditional upon advance registration of the paper by at least one of the authors.

Acceptance will be based on a rigorous peer review process.

Extended version of selected papers will be recommended to be published in supporting or other journals

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Important Dates :

Submission Deadline Jan 01, 2021

Notification Due Feb 01, 2021

Final Version Due Mar 01, 2021

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Keynote Speakers:

• Prof. Sergios Theodoridis, National and Kapodistrian University of Athen, GR

• Prof. Shohreh Kasaei, Sharif University of Technology, IR

• Dr Gerald Schaefer, Loughborough University, UK

• Dr. Mohammad Shokoohi-Yekta, Senior Data & Applied Scientist at Microsoft, and Instructor at Stanford University, CA

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Paper Submission

Submit Via http://ipria2021.ismvipconf.ir/login.php

or http://ipria2021.ismvipconf.ir/registration.php

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Call for Paper

On behalf of the IPRIA 2021 organizing committee, it is our great pleasure to invite you to the bi-annual International conference on Pattern Recognition and Image Analysis.

Topics of interest at IPRIA 2021 include, but are not restricted to:

3D Computer Vision

3D Imaging

Active and Robot Vision

Activity Recognition

Bayesian Methods in Pattern Recognition and Matching

Biomedical Image Processing

Biometric Authentication

Camera Networks and Vision

Case studies and Emerging technologies

Clustering Techniques in Image Processing

Cognitive and Biologically Inspired Vision

Compression and Watermarking

Computer Vision and Image Processing Architectures

Deep Learning in Image Processing and Computer Vision

Dimensionality Reduction Methods in Pattern Recognition

Document Processing and Recognition

Enhancement Techniques

Ensemble Learning Algorithms

Face and Gesture Recognition

Fuzzy and Neural Techniques in Computer Vision

Geographic Information System

Image and Video Analysis

Image and Video Mining

Image Compression, Coding, and Encryption

Image Data Structures and Databases

Image Feature Extraction

Image Generation, Acquisition, and Processing

Image Geometry and Multi-view Geometry

Image Restoration

Image-based Modeling and Algorithms

Industrial Inspection

Invariance in Pattern Recognition

Knowledge-based Recognition

Machine Learning Techniques in Vision

Machine Learning Technologies for Computer Vision

Mathematical Morphology

Medical Image Processing and Analysis

Motion Analysis and Tracking

Motion and Tracking Algorithms and Applications

Multimedia Systems and Applications

Multi-resolution Imaging Techniques

Nondestructive Evaluation

Novel Computer Vision Application and Case Studies

Novel Document Image Understanding Techniques

Novel Image Processing Applications

Novel Noise Reduction Algorithms

Object Recognition

Pattern Recognition in Data Science and Engineering

Parsing Algorithms

Performance Analysis and Evaluation

Quantum Image Processing

Remote Sensing

RGBD processing

Robotic

Security

Segmentation Techniques

Sensors and Early Vision

Soft Computing Methods in Image Processing and Computer Vision

Software Tools for Imaging

Special-purpose Machine Architectures for Computer Vision

Statistical Pattern Recognition

Stereo and Multi-view Geometry

Stereo Vision

Structural and Syntactic Pattern Recognition

Supervised and Un-supervised Classification Algorithms

Symbolic Learning

Texture, Shape, and Color

Video Analysis

Watermarking Methods and Protection + Wavelet Methods

Other related topics