Abstract: Systems and methods are disclosed for dynamic augmentation of images and videos. User input and image processing is used to both manually and automatically identify spots in images and videos where content can be convincingly inserted to form native advertisements. Ad servers can identify targeted ads for a particular viewer and automatically supply those ads for insertion in the identified spots when the viewer views the content, thus providing a low-impact targeted advertising experience. For new episodes of an existing show or series, identified spots in the known episodes can be used to identify spots in new episodes, even automatically.

Abstract: Methods and apparatus for collaborative digital imaging are disclosed. A method for digital imaging may include receiving a first image and a second image; aligning the first image with the second image; determining a first point of interest within the first image; determining a second point of interest within the second image; identifying a border for the aligned images; and creating a composite image from the aligned first and second images and the border. The composite image may include a first region of the first aligned image that includes the first point of interest and a second region of the second image that includes the second point of interest.