• Department of Electronics and Communication Engineering

CALL FOR PAPERS

ICCVIoT aims to report the engineering features of Computer Vision and Internet of Things. Computer vision concepts that are setting off upsurges in the exploration of algorithms, raising challenges on real time applications, and its development integration; and novel paradigms in the cross–disciplinary field that need to be constructed by implementing complex innovative ideas from various fields.

 

Track 1: Computer Vision
•Imaging sensors Technology
•Color and Texture Analysis
•Gesture/Action recognition
•Motion tracking and stereo vision
•Intelligent Transportation and Surveillance Systems
•Mobile and Egocentric vision for humans and robots
•3D multi-view data processing
•Autonomous systems
•Computational Modelling for vision-based applications
•Deep learning for computer vision
•Efficient and Scalable Vision
•Video Synthesis and generation
•Medical and biological vision
•Photogrammetry
•Virtual and Augmented reality
•Scene Analysis and Understanding

•Web graphics

 

Track 2: Internet of Things
•Data mining platforms for IoT
•IoT: From sensors to vertical applications
•IoT data analytics
•Distributed machine learning for IoT
•Industrial IoT and Cyber Physical Systems
•Semantic Computing Technologies for IoT
•Internet of Medical Things
•Intelligent IoT networks and communications
•Control and decision-making for smart IoT
•SDN and IoT
•Internet of Audio Things
•Heterogenous networks and Web of Things
•Mobile cloud computing for IoT
•Smart cities and Internet of Vehicles

•Security and privacy for intelligent IoT models