AICTE Sponsored 4th International Conference on "Recent Trends in Advanced Computing" in Collaboration with National Cheng Kung University, Taiwan

ICRTAC-2021

Theme :Computer Vision and Machine Intelligence Paradigms for Sustainable Development Goals - CVMIP

11th-12th November 2021 - VIT Chennai

Computer Vision and Machine Intelligence Paradigms for Sustainable Development Goals - CVMIP

Computer vision and machine intelligence techniques are playing a pivotal role in achieving sustainable development goals as defined by United Nations. It’s becoming an essential part of current trends like Internet of Things, brain human interfaces etc.,. Today, the large data termed as big data is available easily and is growing exponentially. Researchers can take advantage of this big data, trained with intelligent vision techniques to interpret, understand and reflect the visual world in a better and easier way. Computer vision combined with machine intelligence is spreading it’s wings in various domains to achieve sustainability including solutions for smart cities, provision to ensure health and well-being, methodologies to encourage specially abled community, protection of life on land and under water etc.,

Nowadays complex human activities are even been recognized and monitored through multimedia streams using intelligent and vision techniques. Increasing number of novel applications direct the potential of increased research in all areas thereby attracting the research community to deliver potential solutions to mankind to achieve sustainable development goals.


Objectives


TECHNICAL SCOPE

The fourth edition of ICRTAC CVMIP - 2021 invites submissions of original unpublished technical papers on the following topics, but not limited to:

  • Track 1: Image/Video preprocessing
    (Innovations and experiences in preprocessing techniques to improve utilization of existing image and video)
    • Image Enhancement
    • Image Restoration
    • Coding and Compression
    • Segmentation and Grouping
    • Color and Texture Analysis
    • Feature Extraction methods

  • Track 2: Image/Video Understanding & Analysis
    (Methods to improve interpretation, understanding and analysis to capture relevant information)
    • Usage of Deep Learning methods
    • Machine Learning methods
    • Usage of transfer learning methods
    • Usage of optimization methods
    • Robotic vision
    • Recognition (Face, object, scene, Human activity…)
    • Content-Based Indexing, Search, and Retrieval
    • Cognitive Models for Interpretation

  • Track 3: Motion and Tracking
    (Algorithms to improve accuracy in object tracking)
    • Real time video tracking
    • Simultaneous localization methods
    • Motion prediction methods
    • Multiple object tracking
    • 3D Reconstruction
    • Video Surveillance and Event Detection
    • Deep learning methods for tracking
    • Optimization methods for tracking

  • Track 4:Applications and Services to achieve sustainable development goals
    (Computer vision based solutions to achieve 17 sustainable goals identified by UN)
    • Methods to reduce poverty
    • Solutions to attain zero poverty all around the world
    • Early detection of diseases to ensure good health and well being
    • Improving literacy to all
    • Solutions to improvise security for human (male/female)
    • Vision based methods to ensure clean water and sanitation
    • Suggestions to reduce margin of error in industrial projects and hence to improve economic growth.
    • Affordable low-cost solutions to all
    • Predicting methods to balance consumption and production
    • Methods to improve prediction accuracy for climatic change and hence to reduce envorinmental damage
    • Solutions to protect life on land and life under water
    • Vision based technologies to ensure peace
    • Applications to break geographical barriers

Publication and Presentation

Selected papers presented in ICRTAC - CVMIP 2021 will be published in Prestegious Proceedings with Springer - "Lecture Notes in Electrical Engineering" - Scopus Indexed

It is planned to publish the peer reviewed and selected papers of conference as proceedings with Springer in their prestigious Lecture Notes in Electrical Engineering series (https://www.springer.com/series/7818). For detailed instructions for author and editors of conference proceedings, kindly visit the following link: https://www.springer.com/us/authors-editors/conference-proceedings. Select papers from the conference will be published by Springer as a proceedings book volume. Springer will conduct quality checks on the accepted papers and only papers that pass these checks will be published. Springer Nature does not charge any money for publication of Non-Open Access content. Abstracts/extended abstracts and short papers (less than 4 pages) are not considered for publication."

Event Name Date
Full Paper Submission October 17, 2021
Notification of Acceptance of Paper October 25, 2021
Registration by the accepted authors October 30, 2021
Submission of camera ready papers November 3,2021