Call for Book Chapter:
Recent Advances in Computer Vision Applications Using Parallel Processing
The accepted chapters will be published in an edited book by the prestigious Studies in Computational Intelligence Series by Springer.
The accepted chapters will be published in an edited book by the prestigious Studies in Computational Intelligence Series by Springer.
During the last few years the parallel architectures (e.g., multi-core CPUs, GPUs, and multi-GPUs) achieved promising results in the different fields of computer sciences. The strong demand of fast parallel processing of data results in design and implementation of digital processor in a number of different architectures. Nowadays, parallel architectures offer very high levels of parallelism for the sequential algorithms in computer vision. The design of the multi-core CPUs and many-core processors make them suitable for development of computer vision and digital image processing systems. Many examples for parallelizing the computer vision applications exist, such as parallel moment computations, and parallel image segmentation.
This textbook aims to provide the readership with the recent parallel architectures that can be used to accelerate the computer vision and image processing applications. Into the bargain, it supplies the researchers of the computer vision researchers with a set of accelerated software tools that can perform the desired tasks in extremely fast manner. For parallel processing researchers, the textbook provides them with a set of parallel methodologies that fitting the computer vision applications. Also, the open problems of parallelizing the sequential computer vision algorithms and applications will be exposed.
The ultimate goal of this textbook is to bridge the gap between the computer vision & image processing and parallel processing fields. That goal can be achieved through reviewing the recent efforts and recommendation to transfer the sequential computer vision & image processing algorithms and applications into parallel counterparts using the suitable methodologies.
The proposed book would benefit advanced students and researchers. The collection of papers in the book may serve to inspire future researchers, and PhD students may find the contents of this book useful in their coursework.
In particular, researchers interested in real-time computer vision, image & signal processing techniques research would benefit the most from the book. After all, the enriched contents of the book would always be a subject of interest to faculty, research communities, and researchers who aspire to create new and innovative research initiatives. Hopefully, the book will bring together researchers of two different research backgrounds, parallel processing and computer vision, and inspire new research groups.
Recommended topics include, but are not limited to, the following:
· Theories and algorithms for different parallel architectures
· Clustering computing
· Computing using Raspberry chips
· Feature extraction
· Feature Description and Matching
· Texture detection and classification
· Face Detection and Recognition;
· Object detection and recognition
· Object Categorization
· Human actions recognition
· Visual Tracking of moving objects
· Vehicle Detection and Tracking
· Scene Understanding
· Pedestrian Detection
· Surveillance Applications
· Motion Estimation
· Learning-Based Methods in Vision
· Deep Learning-Based Approaches
· Image Classification
· Image Registration
· Medical image processing
· Remote sensing image processing
· Hyperspectral image processing
· Image and video watermarking
· Digital images forgery
· Image and video retrieval
Prospective authors are invited to submit original, high quality, unpublished results electronically using Easy Chair submission system. Submitted manuscripts will be refereed by at least two expert reviewers. The accepted chapters will be published in an edited book by the prestigious Studies in Computational Intelligence Series by Springer. For preparing your chapter(s), please, consider the following points:
1. Chapter’s publication is free of charge.
2. Each book chapter should be 25-30 pages.
3. Each chapter is a complete topic and self-contained
4. Each chapter should have an abstract of approximately 100-150 words and a list of 5-10 keywords.
5. For preparing your chapter(s) use the MS-word/Latex templates of Springer edited books.
6. Submitted manuscripts should conform to the author’s guidelines of the Springer edited books.
Researchers and practitioners are invited to submit the full chapters by June 30, 2020. All submitted chapters will be reviewed by experts. Contributors may also be requested to serve as reviewers for this project.
Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Trust in Knowledge Management and Systems in Organisations. All manuscripts are accepted based on a double-blind peer review editorial process.
All proposals should be submitted through easychair platform on the following web-page:
https://easychair.org/conferences/?conf=cvapp2021
Full Chapter Submission: September 20, 2021.
Review Results Returned: November 1, 2021.
Submission of the Revised Chapter: December 15, 2021.
Final Acceptance Notification: December 20, 2021.
Final Chapter Submission: December 31, 2021.
1) Prof. Khalid M. Hosny, Zagazig University, Egypt
K_hosny@yahoo.com
https://scholar.google.com/citations?user=XAtqphwAAAAJ&hl=en&oi=ao
2) Dr. Ahmad Salah, Zagazig University, Egypt
ahmad@hnu.edu.cn
https://scholar.google.com/citations?user=pMQfeHQAAAAJ&hl=en