Abstract: A computer identifies, using software-based image processing applied to camera-generated visual data from a client device, foreground imagery representing a participant and background imagery representing content of the camera-generated visual data other than the foreground imagery. The computer determines, using a neural network, an identity of an extraneous item comprising a portion of the background imagery. The computer determines, using the neural network based on the identity of the extraneous item, to replace the extraneous item in the camera-generated visual data. The computer predicts, using replacement imagery prediction software, replacement imagery to replace the extraneous item. The computer generates a composite image comprising the foreground imagery of the camera-generated visual data and the background imagery with the extraneous item replaced by the replacement imagery.

Abstract: A computer stores a reference image representing a physical background within a field of view of a camera of a client device. The computer receives, via the camera and during a video conference to which the client device is connected, camera-generated visual data for output to at least one remote device connected to the video conference. The computer identifies, based on facial recognition applied to the camera-generated visual data, foreground imagery representing at least one person and background imagery representing content of the camera-generated visual data other than the foreground imagery. The computer identifies a difference between the background imagery and the reference image. The computer generates a composite image by replacing, within the background imagery of the camera-generated visual data, an item represented within the background imagery and within the identified difference with a co-located part of the reference image.

Abstract: A computer stores a reference image representing a physical background within a field of view of a camera of a client device. The computer receives, via the camera and during a video conference to which the client device is connected, camera-generated visual data for output to at least one remote device connected to the video conference. The computer identifies, based on facial recognition applied to the camera-generated visual data, foreground imagery representing at least one person and background imagery representing content of the camera-generated visual data other than the foreground imagery. The computer identifies a difference between the background imagery and the reference image. The computer generates a composite image by replacing, within the background imagery of the camera-generated visual data, an item represented within the background imagery and within the identified difference with a co-located part of the reference image.

Abstract: A computer stores a reference image representing a physical background within a field of view of a camera of a client device. The computer receives, via the camera and during a video conference to which the client device is connected, camera-generated visual data for output to at least one remote device connected to the video conference. The computer identifies, based on facial recognition applied to the camera-generated visual data, foreground imagery representing at least one person and background imagery representing content of the camera-generated visual data other than the foreground imagery. The computer identifies a difference between the background imagery and the reference image. The computer generates a composite image by replacing, within the background imagery of the camera-generated visual data, an item represented within the background imagery and within the identified difference with a co-located part of the reference image.