Eighth International Symposium on Computer Vision and the Internet Call for Papers

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Eighth International Symposium on Computer Vision and the Internet 
(VisionNet'22)
https://connected-systems.org/VisionNet2022/

Co-affiliated with the International Conference on Connected Systems & Intelligence (CSI'22)
August 31, September 1-2, 2022, Trivandrum, Kerala, India

Submission Deadline: June 10, 2022
EDAS Submission Link: https://edas.info/N29721

Approved by IEEE and technically co-sponsored by 
IEEE Systems, Man, and Cybernetics Society

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Call for Papers: VisionNet'22 aims to bring together leading
researchers to take stock of the state of the art, identify key
challenges, and propose new directions. High-quality papers that at
the time of submission are not under review or have not already been
published or accepted for publication elsewhere are solicited. All
accepted and presented papers will be published in the conference
proceedings and submitted to IEEE Xplore as well as other Abstracting
and Indexing (A&I) databases.

Major topics of interest to the conference include, but are not limited to:

-- 3D Modeling
-- Aging Pattern Analysis
-- Augmented Reality
-- Artificial Social Intelligence
-- Audio-visual speech processing
-- Big Data and Vision Applications
-- Binary Codes for Large Scale Computer Vision
-- Biomedical Image Analysis
-- Computational Video
-- Computer Vision and Privacy
-- Computer Vision for Animal Behavior Tracking
-- Computer Vision for Remote Sensing Imagery
-- Computer Vision for AR/VR
-- Computer Vision for Autonomous Vehicles
-- Computer Vision for Disaster Response
-- Computer Vision and Human Behaviour, Emotion and Cognition Detection
-- Computational Cameras and Displays
-- Compact Hashing for Large-Scale Visual Search
-- Classification and Clustering Techniques
-- Computer Vision in Vehicle Technology
-- Cognitive and Biologically Inspired Vision
-- Computer Vision and Natural Language Processing
-- Deep Fragment Embedding
-- Discrete-Continuous Optimization
-- Duplicate Discovery
-- Event and Human Activity Recognition
-- Evolutionary Deep Intelligence
-- Extracting Audio from Visual Information
-- Facial Personality Analytics
-- Federated Learning for Computer Vision
-- Geospatial Context for Computer Vision
-- Heterogeneous Feature Tracking
-- Image and Video Analysis
-- Image Categorization
-- Image Enhancement and Restoration
-- Image Filtering and Hybrid Images
-- Indexing Algorithms and Data Structures
-- Intelligent Visual Internet of Things (IoT)
-- Joint Image and Text Modelling
-- Keyword Based Image Search
-- Large Scale Image Retrieval
-- Learning from Incomplete Image Tags
-- Low level vision
-- Machine Learning Technologies for Vision
-- Media Forensics
-- Medical Computer Vision
-- Mid-level Patch Discovery
-- Modeling, Reconstruction, and Visualization
-- Motion Tracking and Stereo Vision
-- Multiresolution Techniques
-- Multi-Label Learning
-- Multimodal Sentiment Analysis
-- Multisensor Data Fusion
-- Natural User Interfaces
-- Object and Face Recognition
-- Optimization Methods for Computer Vision
-- Representation Learning, Deep Learning
-- Scene Analysis and Understanding
-- Segmentation and Grouping
-- Semantic Analysis of Images and Videos
-- Sensors and Early Vision
-- Signal Processing for Computer Vision
-- Smart Video Surveillance
-- Stochastic Models
-- Transfer, Low-shot, Semi- and Un- supervised Learning
-- Understanding Human Motion
-- Vehicular and Drone-based Video Analytics
-- Video Analytics for Social Good
-- Vision Datasets Understanding
-- Vision Systems for Unmanned Aerial and Underwater Vehicles
-- Vision Based Localization
-- Visual Analysis in Social Networking
-- Visual Commerce
-- Visual Cryptography
-- Visual Intelligence in Industry 4.0
-- Visual Models and Feature Representations
-- Visual Vibrometry
-- Web Services for Evaluating and Federating Vision Algorithms
-- Web-Scale Computer Vision
-- Women in Computer Vision

Important Dates
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Papers Due: June 10, 2022
Acceptance Notification: July 15, 2022
Final Paper Deadline: July 30, 2022

Contact Us
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E-mail: csai.conference@gmail.com