Video innovations
Virtual background testing
Ensure virtual backgrounds work flawlessly, regardless of lighting, accessories, or camera quality. With our advanced virtual background testing algorithm, we deliver precise scores over time to guarantee seamless cropping and a distraction-free experience every time.
Trusted by Startups, SMEs and Enterprise businesses worldwide
What is it
In-depth evaluation of virtual background accuracy
Virtual background testing evaluates how well a video application can replace or blur user backgrounds during video calls or recordings. It makes sure that virtual backgrounds function smoothly across various real-world conditions, like different lighting environments and camera qualities.
- Overcropping
- Undercropping
- Lighting conditions
- Camera quality
- User behaviour
- Compatibility
- Edge accuracy
- Motion stability
Why is it important
Prevent distractions and ensure a professional user experience
Poorly functioning backgrounds can cause distractions, like flickering or uneven cropping, frustrating users and harming your credibility. Virtual background testing ensures a seamless, professional experience in all types of video calls and streams.
Privacy
Glitchy backgrounds could accidentally reveal sensitive information or personal items in your environment. Testing ensures consistent privacy protection.
Professionalism
Unstable backgrounds with flickering or uneven cropping can damage your professional image. Testing helps to deliver a polished look you need.
Personalization
Testing ensures customized backgrounds work smoothly across different conditions, letting users confidently express their style without technical issues.
How it works
Our virtual background testing process
Our virtual background testing process provides an in-depth evaluation of virtual background accuracy, identifying issues and providing accurate and reliable results.
Recording a reference video
We begin by filming a realistic call scenario using a green screen backdrop, which provides a uniform background for easy color separation using chroma-key techniques.
Aligning frames with ArUco Markers
A unique, dynamic ArUco marker is used in the video for precise spatial and temporal alignment between reference and degraded videos.
Pixel mapping
After removing the green screen, pixels are classified as foreground or background relative to the ArUco markers, ensuring precise pixel mapping.
Setting a realistic background
We replace the green screen with a realistic image or video background, simulating an actual call setup.
Evaluating the virtual background
We initiate a video call using a virtual camera and set the virtual background to green to better analyze the foreground/background separation.
Recording the call
The call is recorded on the receiver's side, and a second set of foreground and background pixel lists is generated from the recorded output.
Detecting errors
Finally, we compare the call output to the reference to detect and categorize errors, like false positives (under-cropping) and false negatives (over-cropping), revealing any limitations in the virtual background feature.
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