Abstract: A dynamically created video preview can be provided to a viewer by stitching relevant video clips from a target video based on a viewer profile of the viewer. In various embodiments, a computer receives a request from a viewer to preview a video. The computer can then select one or more clips from the video based on the viewer profile of the viewer. Thereafter, the computer can generate a customized video preview from the one or more selected clips for the viewer based on the viewer profile. Other embodiments may be described and/or claimed.

Abstract: A dynamically created video preview can be provided to a viewer by stitching relevant video clips from a target video based on a viewer profile of the viewer. In various embodiments, a computer receives a request from a viewer to preview a video. The computer can then select one or more clips from the video based on the viewer profile of the viewer. Thereafter, the computer can generate a customized video preview from the one or more selected clips for the viewer based on the viewer profile. Other embodiments may be described and/or claimed.

Abstract: A dynamically created video preview can be provided to a viewer by stitching relevant video clips from a target video based on a viewer profile of the viewer. In various embodiments, a computer receives a request from a viewer to preview a video. The computer can then select one or more clips from the video based on the viewer profile of the viewer. Thereafter, the computer can generate a customized video preview from the one or more selected clips for the viewer based on the viewer profile. Other embodiments may be described and/or claimed.

Abstract: Various implementations provide an improved advertisement model that enables users to skip advertisements based on an advertisement-watching score. That is, as a user watches advertisements or, in some cases, portions of advertisements, an advertisement-watching score is computed. The more advertisements that a user watches, the higher their advertisement-watching score will be. When the user's advertisement-watching score reaches or exceeds a certain threshold, the user is provided with an option to skip subsequent advertisements so that they can consume their content in a generally uninterrupted manner. When an advertisement is skipped, the user's advertisement-watching score is decreased by an amount. If the user's advertisement-watching score is decreased to below the threshold, the user cannot skip additional advertisements until the advertisement-watching score again reaches or exceeds the threshold.

Abstract: Various implementations provide an improved advertisement model that enables users to skip advertisements based on an advertisement-watching score. That is, as a user watches advertisements or, in some cases, portions of advertisements, an advertisement-watching score is computed. The more advertisements that a user watches, the higher their advertisement-watching score will be. When the user's advertisement-watching score reaches or exceeds a certain threshold, the user is provided with an option to skip subsequent advertisements so that they can consume their content in a generally uninterrupted manner. When an advertisement is skipped, the user's advertisement-watching score is decreased by an amount. If the user's advertisement-watching score is decreased to below the threshold, the user cannot skip additional advertisements until the advertisement-watching score again reaches or exceeds the threshold.

Abstract: A dynamically created video preview can be provided to a viewer by stitching relevant video clips from a target video based on a viewer profile of the viewer. In various embodiments, a computer receives a request from a viewer to preview a video. The computer can then select one or more clips from the video based on the viewer profile of the viewer. Thereafter, the computer can generate a customized video preview from the one or more selected clips for the viewer based on the viewer profile. Other embodiments may be described and/or claimed.

Abstract: A content editor application receives a reference map that indicates which portions of a first image are foreground, and which portions of the first image are background. The content editor compares a coloration of regions in the first image to a coloration of regions in the second image. For regions in the second image that match a coloration of corresponding regions in the first image, or that are within a threshold range of coloration, the content editor uses the reference map to mark regions of the second image that are foreground and to mark which regions of the second image are background. Accordingly, the reference map of the first image can be used to identify whether regions of a second image or subsequent images in a sequence are foreground and which are background.

Abstract: A content editor application receives a reference map that indicates which portions of a first image are foreground, and which portions of the first image are background. The content editor compares a coloration of regions in the first image to a coloration of regions in the second image. For regions in the second image that match a coloration of corresponding regions in the first image, or that are within a threshold range of coloration, the content editor uses the reference map to mark regions of the second image that are foreground and to mark which regions of the second image are background. Accordingly, the reference map of the first image can be used to identify whether regions of a second image or subsequent images in a sequence are foreground and which are background.

Abstract: A content editor application receives a reference map that indicates which portions of a first image are foreground, and which portions of the first image are background. The content editor compares a coloration of regions in the first image to a coloration of regions in the second image. For regions in the second image that match a coloration of corresponding regions in the first image, or that are within a threshold range of coloration, the content editor uses the reference map to mark regions of the second image that are foreground and to mark which regions of the second image are background. Accordingly, the reference map of the first image can be used to identify whether regions of a second image or subsequent images in a sequence are foreground and which are background.