Video content analysis
lastmod 2026-02-27created 2021-08-024 edits
Video content analysis or video content analytics (VCA), also known as video analysis or video analytics (VA), is the capability of automatically analyzing video to detect and determine temporal and spatial events.
This technical capability is used in a wide range of domains, including entertainment, video retrieval and video browsing, health care, retail, automotive, transport, home automation, flame and smoke detection, and safety and security. The algorithms can be implemented as software on general-purpose machines or as hardware in specialized video processing units.
Many different functionalities can be implemented in VCA. Video motion detection is one of the simpler forms, where motion is detected with regard to a fixed background scene. More advanced functionalities include video tracking and egomotion estimation.
Based on the internal representation that VCA generates in the machine, it is possible to build other functionalities, such as video summarization, identification, behavior analysis, or other forms of situation awareness.
VCA relies on good input video, so it is often combined with video enhancement technologies such as video denoising, image stabilization, unsharp masking, and super-resolution.
Comparison of major CCTV VMS solutions
See Network Video Recorder#Comparison of major CCTV VMS solutions for details.
See also
- Video management system (VMS, Video management software, Video management solution)
- Closed-circuit television (CCTV)
- Network Video Recorder (NVR)
- Digital video recorder (DVR)
- NVT (Network Video Transmitter) - device that transmits video (IP Camera)
- NVC (Network Video Client) - device that receives video (PC)
- NVD (Network Video Display) - device that displays video
- NVS (Network Video Storage) - device that stores video
- NVA (Network Video Analytic) - device that analyzes video