Abstract: In one embodiment, a method includes receiving an indication to apply a dynamic mask to an input video, wherein the dynamic mask comprises a plurality of graphical features according to a plurality of mask effects, and wherein the dynamic mask is applied based on one or more user selections specifying one or more of the mask effects, identifying a first user in an input image, and generating an output video comprising the graphical features rendered using the mask effects.

Abstract: In one embodiment, a method includes identifying a first user in an input image, accessing social data of the first user in the input image, where social data comprises information from a social graph of an online social network, selecting, based on social data of the first user in the input image, a mask from a set of masks, where the mask specifies one or more mask effects, and for each of the input images, applying the mask to the input image. The set of masks may comprise masks previously selected by friends of the first user within the online social network. The selected mask may be selected from a lookup table that maps the social data to the selected mask.

Abstract: In one embodiment, a method includes identifying a first user in an input image, accessing social data of the first user in the input image, where social data comprises information from a social graph of an online social network, selecting, based on social data of the first user in the input image, a mask from a set of masks, where the mask specifies one or more mask effects, and for each of the input images, applying the mask to the input image. The set of masks may comprise masks previously selected by friends of the first user within the online social network. The selected mask may be selected from a lookup table that maps the social data to the selected mask.

Abstract: In one embodiment, a method includes identifying an emotion associated with an identified first object in one or more input images, selecting, based on the emotion, a mask from a set of masks, where the mask specifies one or more mask effects, and for each of the input images, applying the mask to the input image. Applying the mask includes generating graphical features based on the identified first object or a second object in the input images according to instructions specified by the mask effects, and incorporating the graphical features into an output image. The emotion may be identified based on graphical features of the identified first object. The graphical features of the identified object may include facial features. The selected mask may be selected from a lookup table that maps the identified emotion to the selected mask.

Abstract: In one embodiment, a method includes identifying an emotion associated with an identified first object in one or more input images, selecting, based on the emotion, a mask from a set of masks, where the mask specifies one or more mask effects, and for each of the input images, applying the mask to the input image. Applying the mask includes generating graphical features based on the identified first object or a second object in the input images according to instructions specified by the mask effects, and incorporating the graphical features into an output image. The emotion may be identified based on graphical features of the identified first object. The graphical features of the identified object may include facial features. The selected mask may be selected from a lookup table that maps the identified emotion to the selected mask.

Abstract: In one embodiment, a method includes accessing identifying information for one or more endpoints of a user. Each of the endpoints corresponds to a particular communication medium. The method also includes calculating a confidence score associated with one or more of the endpoints of the user. The confidence score is calculated based one or more signals associated with the respective endpoint. The method also includes comparing the calculated confidence score to a pre-determined threshold score; and determining the identifying information is currently valid based on the calculated confidence score satisfying the pre-determined threshold score.