CVIP2021: Computer Vision Applications of Visual AI and Image Processing November 20, 2021 |
Conference website | https://sites.google.com/view/cvip-2021/home |
Submission link | https://easychair.org/conferences/?conf=cvip2021 |
Poster | download |
Abstract registration deadline | July 25, 2021 |
Submission deadline | August 25, 2021 |
Book Title: Computer Vision for applications of Visual AI and Image Processing(CVIP2021)
Publisher: De Gruyter, Publishing Berlin, Germany
Call for Book Chapter Computer Vision for applications of Visual AI and Image Processing
Submission Guidelines
Dear Authors,
All Chapters must be original and not simultaneously submitted to another journal or conference. The major focus of the book is on the latest developments in the fields of visual AI, image processing, and computer vision. It provides state-of-the-art applications that highlight CV algorithms, processes, novel architectures, and fascinating results underlying machine intelligence with detailed execution flow of models. It contains research in basic processes like image pre-processing, feature extraction, enhancement along with interesting applications in biometrics, healthcare, criminal psychology, etc.
Submission Link:https://easychair.org/my/conference?conf=cvip2021
List of Topics(Not Limited)
- Image Preprocessing methods
- Image Feature extraction methods
- Algorithms for Image Segmentation
- Algorithms for Text retrieval from video sequences
- Image classification using AI algorithms
- Similarity measurement methods for image analysis and retrieval
- Image Enhancement Techniques
- High-level features for image recognition and retrieval
- OpenCV Libraries for computer vision
- Benchmark Image datasets for computer vision research
- Algorithms for facial expression analysis and recognition
- Computer vision for Criminal Psychology
- Computer vision for Neuroscience
- Computer vision for biometrics
- Computer Vision for healthcare applications
- A Shallow Convolutional Neural Network-based Real-Time Face Mask Detection using Transfer Learning
- Computer Vision Techniques for Enhancing National Security
Committees
Prof. Pancham Shukla, Senior Lecturer, Communications Technology and Mathematics at the School of Computing and Digital Media, London Metropolitan University, London. Phone No: 020 71332113, Email: p.shukla@londonmet.ac.uk
Prof. Rajanikanth Aluvalu, SMIEEE, Professor, Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, India, Personal URL: https://rajnikanthteachingprofile.weebly.com, Phone No: +91-9978967155, Email: rajanikanth.aluvalu@ieee.org
Prof.Shilpa Gite, Associate Professor, CS Department, Symbiosis Institute of Technology (SIT), Lavale, Pune.Faculty, Symbiosis Centre for Applied Artificial Intelligence (SCAAI), Symbiosis International(Deemed University), Pune, India, Phone No: +91-9970001191, Email: shilpa.gite@sitpune.edu.in
Prof. Uma Maheswari, MIEEE, Assistant Professor, Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, India.Phone No: +91-9866875331 , Email: umamaheshwariv999@gmail.com
Publication
published in Series “Frontiers in Computational Intelligence” (FCI). by De Gruyter, Germany https://www.degruyter.com/
Contact
All questions about submissions should be emailed to Rajanikanth Aluvalu Email: rajanikanth.aluvalu@ieee.org (WhatsApp: +91 9978967155) or Pancham Shukla Email: p.shukla@londonmet.ac.uk, or Shilpa Gite Email: shilpa.gite@sitpune.edu.in (WhatsApp: +91 9970001191) or Uma Maheswari Email: umamaheshwariv999@gmail.com(WhatsApp:+91-9866875331)