Book Title: Computer Vision for applications of Visual AI and Image Processing(CVIP2021)
ISBN No. 978-3-11-070248-4 (Hardcover)
ISBN No. 978-3-11-070251-4 (PDF)
No-Publications Charges
Artificial Intelligence (AI) has occupied almost all the fields of our lives nowadays by making machines work and think like humans. To build the ability to “see” the objects, identify scenes and act accordingly, machines should have “vision” ability. Computer Vision(CV) is considered as one of the most powerful yet challenging fields of AI. To provide visual interpretation and contextual understanding of the digital images and videos by the machines, computer vision and its applications are well adopted by all the domains. The state-of-the-art of CV models are most useful for image and video analysis and prediction of various applications in real life. Computer vision tackles all images and visual representation/interpretation related problems using the machine's cognitive abilities that are possible with the help of deep learning approaches. This book will focus on the details of such techniques, algorithms along with the interesting case studies in the industry and also in our day today life.
This book focuses on the latest developments in the fields of visual AI, image processing and computer vision. It provides state-of-the-art applications that highlights 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 preprocessing, feature extraction, enhancement along with interesting applications in bio-metrics, healthcare, criminal psychology etc.
Keywords: Computer Vision, Artificial Intelligence, Image processing, Visual AI
Dr. Pancham Shukla
Senior Lecturer,
Communications Technology and Mathematics at the School of Computing and Digital Media,
London Metropolitan University,
London, UK.
Phone: +44-20-71332113
Email: p.shukla@londonmet.ac.uk
Dr. Rajanikanth Aluvalu
Professor,
Department of Computer Science and Engineering,
Vardhaman College of Engineering,
Hyderabad, India.
Phone: +91-9978967155
Email: rajanikanth.aluvalu@ieee.org
Dr. Shilpa Gite
Associate Professor,
Department of Computer Science, Symbiosis Institute of Technology,
Faculty, Symbiosis Centre for Applied Artificial Intelligence,
Symbiosis International (Deemed University),
Pune, India.
Phone: +91-9970001191
Email: shilpa.gite@sitpune.edu.in
Prof. Uma Maheswari
Assistant Professor,
Department of Computer Science and Engineering,
Vardhaman College of Engineering,
Hyderabad,India.
Phone: +91-9866875331
Email: umamaheshwariv999@gmail.com
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
Open-CV 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 bio-metrics
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
1-Page Abstract Submission: 25th July 2021
Abstract Acceptance/Rejection Notification: August 05th, 2021
Full-Article Submission: September 15th, 2021
First-Review Notification: October 05th, 2021
Revised Article Submission: October 25th, 2021
Acceptance/Rejection Notification: November 05th, 2021
Camera-Ready Submission: November 20, 2021
Authors must submit their manuscript on the Easy-chair account.
Submission Link: https://easychair.org/conferences/?conf=cvip2021
All questions about submissions should be emailed to
Rajanikanth Aluvalu - Email: rajanikanth.aluvalu@ieee.org, (Whats App: +919978967155), or
Pancham Shukla - Email: p.shukla@londonmet.ac.uk, or
Shilpa Gite - Email: shilpa.gite@sitpune.edu.in, (Whats App: +919970001191), or
Uma Maheswari Email: umamaheshwariv999@gmail.com, (Whats App:+919866875331)