A Survey on Video Big Data Analytics: Architecture, Technologies, and Open Research Challenges
The exponential growth of video data across domains such as surveillance, transportation, and healthcare has raised critical challenges in scalability, real-time processing, and privacy preservation. While existing studies have addressed individual aspects of Video Big Data Analytics (VBDA), an inte...
Saved in:
| Main Authors: | Thi-Thu-Trang Do, Quyet-Thang Huynh, Kyungbaek Kim, Van-Quyet Nguyen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/14/8089 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Privacy-Preserving Live Video Analytics for Drones via Edge Computing
by: Piyush Nagasubramaniam, et al.
Published: (2024-11-01) -
Distributed model cache-driven device-cloud collaboration in adaptive video analytics
by: LIAO Tianjun, et al.
Published: (2025-05-01) -
System and application of video surrveillance based on edge computing
by: Sanming PAN, et al.
Published: (2020-06-01) -
Edge AI Deploying Artificial Intelligence Models on Edge Devices for Real-Time Analytics
by: Choudhary Sagar, et al.
Published: (2025-01-01) -
Feature-Centric Video Transmission and Analytics in Large-Scale Internet of Video Things
by: Hongan Wei, et al.
Published: (2024-12-01)