Abstract: The present disclosure provides image capture devices and associated methods of operation that enable the interactive editing of imagery, including, for example, removal and/or addition of non-stationary objects from and/or to captured imagery. According to one example aspect of the present disclosure, an image capture device can capture a plurality of frames of imagery that depict a scene and, while capturing the plurality of frames of imagery, provide a composite image within a viewfinder of the image capture device, where non-stationary objects included in the scene are removed from the composite image. According to another example aspect of the present disclosure, the image capture device can allow a user to edit a final composite image directly within the viewfinder. Thus, the present disclosure provides systems and methods that enable enhanced capture and interactive editing of imagery.

Abstract: The present disclosure provides systems and methods that generate a summary storyboard from a plurality of image frames. An example computer-implemented method can include inputting a plurality of image frames into a machine-learned model and receiving as an output of the machine-learned model, object data that describes the respective locations of a plurality of objects recognized in the plurality of image frames. The method can include generating a plurality of image crops that respectively include the plurality of objects and arranging two or more of the plurality of image crops to generate a storyboard.

Abstract: The present disclosure provides systems and methods that generate a scrubbing video that depicts a scrubbing operation performed on a first video. In particular, a user can directly manipulate video playback of the first video (e.g., by interacting with a touch-sensitive display screen) and the scrubbing video can depict such manipulation. As one example, the user can “scratch” his or her videos like a disc jockey (DJ) scratches records to produce scrubbing videos that are remixes (e.g., looping remixes) of his or her original videos. Thus, the systems and methods of the present disclosure enable a user to capture and edit a new type of video that allows the user to directly manipulate its timeline, producing fun and creative results.

Abstract: The present disclosure provides image capture devices and associated methods of operation that enable the interactive editing of imagery, including, for example, removal and/or addition of non-stationary objects from and/or to captured imagery. According to one example aspect of the present disclosure, an image capture device can capture a plurality of frames of imagery that depict a scene and, while capturing the plurality of frames of imagery, provide a composite image within a viewfinder of the image capture device, where non-stationary objects included in the scene are removed from the composite image. According to another example aspect of the present disclosure, the image capture device can allow a user to edit a final composite image directly within the viewfinder. Thus, the present disclosure provides systems and methods that enable enhanced capture and interactive editing of imagery.

Abstract: The present disclosure provides systems and methods that generate a scrubbing video that depicts a scrubbing operation performed on a first video. In particular, a user can directly manipulate video playback of the first video (e.g., by interacting with a touch-sensitive display screen) and the scrubbing video can depict such manipulation. As one example, the user can “scratch” his or her videos like a disc jockey (DJ) scratches records to produce scrubbing videos that are remixes (e.g., looping remixes) of his or her original videos. Thus, the systems and methods of the present disclosure enable a user to capture and edit a new type of video that allows the user to directly manipulate its timeline, producing fun and creative results.

Abstract: The present disclosure provides systems and methods that generate a summary storyboard from a plurality of image frames. An example computer-implemented method can include inputting a plurality of image frames into a machine-learned model and receiving as an output of the machine-learned model, object data that describes the respective locations of a plurality of objects recognized in the plurality of image frames. The method can include generating a plurality of image crops that respectively include the plurality of objects and arranging two or more of the plurality of image crops to generate a storyboard.