Abstract: Exemplary embodiments relate to techniques for applying media effects to a video stream. For example, media effects may be applied and/or altered based on input from viewers or participants in the video stream. Changes to the media effects may accumulate based on the inputs. In another example, viewership numbers or engagement with a user applying a media effect may alter the media effect. In a broadcast context, actions of the broadcast audience (e.g., as measured by polling) may affect the broadcast and hence the broadcaster. Object recognition and/or people recognition may be applied to cumulatively alter the media effects in an augmented reality context.

Abstract: Exemplary embodiments relate to techniques for applying media effects to a video stream. For example, media effects may be applied and/or altered based on input from viewers or participants in the video stream. Changes to the media effects may accumulate based on the inputs. In another example, viewership numbers or engagement with a user applying a media effect may alter the media effect. In a broadcast context, actions of the broadcast audience (e.g., as measured by polling) may affect the broadcast and hence the broadcaster. Object recognition and/or people recognition may be applied to cumulatively alter the media effects in an augmented reality context.

Abstract: Exemplary embodiments relate to techniques for applying media effects to a video stream. For example, media effects may be applied and/or altered based on input from viewers or participants in the video stream. Changes to the media effects may accumulate based on the inputs. In another example, viewership numbers or engagement with a user applying a media effect may alter the media effect. In a broadcast context, actions of the broadcast audience (e.g., as measured by polling) may affect the broadcast and hence the broadcaster. Object recognition and/or people recognition may be applied to cumulatively alter the media effects in an augmented reality context.

Abstract: Exemplary embodiments relate to techniques for applying media effects to a video stream. For example, media effects may be applied and/or altered based on input from viewers or participants in the video stream. Changes to the media effects may accumulate based on the inputs. In another example, viewership numbers or engagement with a user applying a media effect may alter the media effect. In a broadcast context, actions of the broadcast audience (e.g., as measured by polling) may affect the broadcast and hence the broadcaster. Object recognition and/or people recognition may be applied to cumulatively alter the media effects in an augmented reality context.

Abstract: The present disclosure is directed toward systems and methods for enhancing a live video stream. For example, a communications system improves live video streams for a content producer broadcasting a live video stream as well as other users viewing the live video stream. In particular, the communications system employs themed experiences that guide the content producer through the process of creating and sharing a quality customized live video stream. In addition, the communications system provides one or more digital enhancements to a live video stream based on engagement signals (e.g., reactions) from viewers of the live video stream.

Abstract: The present disclosure is directed toward systems and methods for enhancing a live video stream. For example, a communications system improves live video streams for a content producer broadcasting a live video stream as well as other users viewing the live video stream. In particular, the communications system employs themed experiences that guide the content producer through the process of creating and sharing a quality customized live video stream. In addition, the communications system provides one or more digital enhancements to a live video stream based on engagement signals (e.g., reactions) from viewers of the live video stream.