-
Notifications
You must be signed in to change notification settings - Fork 16
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Face Detection: Segmentation metadata #79
Comments
Whilst at an ML level Face Detection is 'just another segmentation problem', from the user's point of view it is somewhat more personal than detecting an orange - especially since the bulk use-case of WebRTC is video conferences and good background blur is an egalitarian feature. |
@aboba, can you clarify whether this issue is a blocker for the CFC? |
It's a request for a metadata change, so that we don't have to define metadata for segmentation in addition to metadata specific to face detection. If the encoder wants to utilize segmentation information to figure out where to spend its effort, it shouldn't have to be able to understand multiple metadata formats, each optimized for a particular use. |
@aboba I agree that it would be better to define a generic segmentation metadata. We're happy to change the spec proposal once agreed on directions. What do you think of this:
|
This issue was mentioned in WEBRTCWG-2023-02-21 (Page 44) |
FaceDetection metadata is one example of VideoFrame segmentation, which is useful for:
It occurs to me that rather than defining FaceDetection metadata, we might instead define Segmentation metadata, with a type field of "face detection".
The text was updated successfully, but these errors were encountered: