Internet of Video Things: Next-Generation IoT With Visual Sensors
Abstract
The worldwide flourishing of the Internet of Things (IoT) in the past decade has enabled numerous new applications through the internetworking of a wide variety of devices and sensors. More recently, visual sensors have seen their considerable booming in IoT systems because they are capable of providing richer and more versatile information. Internetworking of large-scale visual sensors has been named Internet of Video Things (IoVT). IoVT has its own unique characteristics in terms of sensing, transmission, storage, and analysis, which are fundamentally different from the conventional IoT. These new characteristics of IoVT are expected to impose significant challenges to existing technical infrastructures. In this article, an overview of recent advances in various fronts of IoVT will be introduced and a broad range of technological and system challenges will be addressed. Several emerging IoVT applications will be discussed briefly to illustrate the potentials of IoVT in a broad range of practical scenarios.
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Another challenge arises through the heterogeneous nature of sensors, including scalar sensors, vector sensors, and multimedia sensors.
“In addition to these challenges created by massive numbers of sensors, another challenge arises through their heterogeneous nature [23] including scalar sensors, vector sensors, and multimedia sensors as summarized in Table I.”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [23]
The edge computing layer may function like the perception layer and supports control and execution over sensors and actuators, aiming to empower AIoT systems with the ability to perceive and behave.
“The edge computing layer may function like the perception layer in [13] and smart visual sensing block in [23]. It also supports control and execution over sensors and actuators. Thereby, this layer aims to empower AIoT systems with the ability to perceive and behave.”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [23]
IoT applications based on specific things, e.g., the Internet of Vehicles and Internet of Video Things, have also been rapidly developed.
“Furthermore, IoT applications based on specific things, e.g., the Internet of Vehicles (IoV) [7] and Internet of Video Things (IoVT) [23] have also been rapidly developed.”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [23]
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“Digital Object Identifier 10.1109/JIOT.2023.3308195 unit [5], [6], [7].”
Influential
- Authors
- Chen, C. W.
- Affiliations
- Chinese University of Hong Kong, Shenzhen (CN)
- Corresponding author
- Chen, Chang Wen
- ORCID
- Chen, Chang Wen
- Venue
- IEEE Internet of Things Journal
- Published
- 2020-08
- Volume
- 7
- Issue
- 8
- Pages
- 6676-6685
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W3040229964
- Cited by
- 157
- References
- 22
- Citations by year
- 2026: 20 · 2025: 28 · 2024: 32 · 2023: 28 · 2022: 26 · 2021: 21 · 2020: 2
- FWCI
- 9.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- Funders
- Key-Area Research and Development Program of Guangdong Province, China (2019B010155002)
- National Natural Science Foundation of China (91538203)
- U.S. NSF (1405594)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Keywords
- vision sensors, Internet of Things, video sensing, video transmission, video storage, video analysis, sensor networks, video surveillance, emerging applications
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