Abstract: Various methods and apparatus to detect red eye in a digital image are described. In an embodiment, a method identifies one or more red eye candidate zones within an identified skin region in a digital image. A first red eye candidate zone includes connected regions of pixels of a different color in the digital image than their natural color and exceeds a minimum size. The first red eye candidate zone is determined to be an actual red eye by comparing a red eye candidate score to a detection threshold value.

Abstract: A computing device that includes a display configured to display a first video and a touch strip configured to receive user input. The computing device further includes a processor and a memory storing instructions that when executed by the processor cause the processor to determine that the user input comprises a drag input defined by sliding at least one finger along the touch strip, and, in response to the drag input, cause a second video to be displayed on the display.

Abstract: A method that includes causing at least a portion of a first representation of a first file and at least a portion of a second representation of a second file to be displayed in a user interface on a display associated with a computing device, where the first file is included in a first folder included in a folder structure stored in a memory included within the computing device, and the second file is included in a second folder included in the folder structure. The method further includes receiving user input to navigate content stored in the folder structure, and, in response to the user input, causing the at least a portion of the first representation and the at least a portion of the second representation to move in a first direction within the user interface.

Abstract: Various methods and apparatus for multi-level red eye correction in a digital image are described. In an embodiment, a method receives an input that identifies an actual red eye in a digital image and a red eye candidate score associated with the actual red eye. The red eye candidate score of the actual red eye exceeds a detection threshold value. The method corrects the coloration of the actual red eye with a level of correction based on the red eye candidate score.