within the field of view, in particular for camera video streams. Web applications may either want to control or at least be aware that
automatic continuous human face framing is applied at the source level. This may for instance allow the web application to
update its UI or to not apply human face framing on its own.
effect to a camera's video feed. This eliminates the costly need for manual application of the effect through machine learning
frameworks such as TensorFlow.js, Mediapipe, or cloud-based solutions, which require processing each video frame individually.
Youenn Fablet (Apple) is co-author
and supportive of this change.
Web developers: No signals