Abstract: Methods and systems are provided allowing for background identification in video images. A computer-implemented image processing method includes: receiving, using at least one processing circuit, a plurality of image frames of a video; constructing, using at least one processing circuit, a plurality of statistical models of the plurality of image frames at a plurality of pixel granularity levels; constructing, using at least one processing circuit, a plurality of probabilistic models of an input image frame at a plurality of channel granularity levels based on the plurality of statistical models; merging at least some of the plurality of probabilistic models based on a weighted average to form a single probability image; and determining background pixels, based on a probability threshold value, from the single probability image.

Abstract: A computer-implemented image processing method includes: receiving, using at least one processing circuit, a plurality of image frames of a video; constructing, using at least one processing circuit, a plurality of statistical models of the plurality of image frames at a plurality of pixel granularity levels; constructing, using at least one processing circuit, a plurality of probabilistic models of an input image frame at a plurality of channel granularity levels based on the plurality of statistical models; merging at least some of the plurality of probabilistic models based on a weighted average to form a single probability image; and determining background pixels, based on a probability threshold value, from the single probability image.

Abstract: Methods and systems are provided allowing for background identification and gesture recognition in video images. A computer-implemented image processing method includes: receiving, using at least one processing circuit, a plurality of image frames of a video; constructing, using at least one processing circuit, a plurality of statistical models of the plurality of image frames at a plurality of pixel granularity levels; constructing, using at least one processing circuit, a plurality of probabilistic models of an input image frame at a plurality of channel granularity levels based on the plurality of statistical models; merging at least some of the plurality of probabilistic models based on a weighted average to form a single probability image; determining background pixels, based on a probability threshold value, from the single probability image; and determining whether the plurality of image frames, when examined in a particular sequence, conveys a gesture by the object.

Abstract: Implementations generally relate to modifying an appearance of a participant during a video conference. In some implementations, a method includes obtaining at least one frame from a media stream, where the at least one frame includes a first face, and where the first face is an image of a face associated with a user. The method also includes determining a plurality of coordinates within the at least one frame. The method also includes obtaining at least one media content item. The method also includes adding the at least one media content item to the at least one frame based on the plurality of coordinates.

Abstract: Embodiments generally relate to processing media streams during a multi-user video conference. In one embodiment, a method includes obtaining at least one frame from a media stream, and determining a plurality of coordinates within the at least one frame. The method also includes obtaining at least one media content item, obtaining one or more parameters from a remote user, and adding the at least one media content item to the at least one frame based on the plurality of coordinates and the one or more parameters.

Abstract: Embodiments generally relate to processing media streams during a multi-user video conference. In one embodiment, a method includes obtaining at least one audio file and obtaining one or more parameters from a remote user. The method also includes adding user-specified audio content from the at least one audio file to a media stream based on the one or more parameters.