Abstract: Disclosed herein is a technique for implementing a secure lock screen on a computing device. The secure lock screen is configured to permit particular applications to display their content—such as main user interfaces (UIs)—while maintaining a desired overall level of security on the computing device. Graphics contexts, which represent drawing destinations associated with the applications, are tagged with entitlement information that indicates whether or not each graphics context should be displayed on the computing device when the computing device is in a locked-mode. Specifically, an application manager tags each application that is initialized, where the tagging is based on a level of entitlement possessed by the application. In turn, a rendering server that manages the graphics contexts can identify the tagged entitlement information and display or suppress the content of the applications in accordance with their entitlements.

Abstract: This disclosure pertains to systems, methods, and computer readable medium for mapping particular user interactions, e.g., gestures, to the input parameters of various image processing routines, e.g., image filters, in a way that provides a seamless, dynamic, and intuitive experience for both the user and the software developer. Such techniques may handle the processing of both “relative” gestures, i.e., those gestures having values dependent on how much an input to the device has changed relative to a previous value of the input, and “absolute” gestures, i.e., those gestures having values dependent only on the instant value of the input to the device. Additionally, inputs to the device beyond user-input gestures may be utilized as input parameters to one or more image processing routines. For example, the device's orientation, acceleration, and/or position in three-dimensional space may be used as inputs to particular image processing routines.

Abstract: This disclosure pertains to systems, methods, and computer readable medium for mapping particular user interactions, e.g., gestures, to the input parameters of various image processing routines, e.g., image filters, in a way that provides a seamless, dynamic, and intuitive experience for both the user and the software developer. Such techniques may handle the processing of both “relative” gestures, i.e., those gestures having values dependent on how much an input to the device has changed relative to a previous value of the input, and “absolute” gestures, i.e., those gestures having values dependent only on the instant value of the input to the device. Additionally, inputs to the device beyond user-input gestures may be utilized as input parameters to one or more image processing routines. For example, the device's orientation, acceleration, and/or position in three-dimensional space may be used as inputs to particular image processing routines.

Abstract: An image of a background is stored and thereafter removed from a video stream. Substitute background video data is merged into the video stream and provided to videoconference participants.

Abstract: This disclosure pertains to apparatuses, methods, and computer readable medium for mapping particular user interactions, e.g., gestures, to the input parameters of various image filters, while simultaneously setting auto exposure, auto focus, auto white balance, and/or other image processing technique input parameters based on the appropriate underlying image sensor data in a way that provides a seamless, dynamic, and intuitive experience for both the user and the client application software developer. Such techniques may handle the processing of image filters applying location-based distortions as well as those image filters that do not apply location-based distortions to the captured image data. Additionally, techniques are provided for increasing the performance and efficiency of various image processing systems when employed in conjunction with image filters that do not require all of an image sensor's captured image data to produce their desired image filtering effects.

Abstract: This disclosure pertains to systems, methods, and computer readable medium for mapping particular user interactions, e.g., gestures, to the input parameters of various image processing routines, e.g., image filters, in a way that provides a seamless, dynamic, and intuitive experience for both the user and the software developer. Such techniques may handle the processing of both “relative” gestures, i.e., those gestures having values dependent on how much an input to the device has changed relative to a previous value of the input, and “absolute” gestures, i.e., those gestures having values dependent only on the instant value of the input to the device. Additionally, inputs to the device beyond user-input gestures may be utilized as input parameters to one or more image processing routines. For example, the device's orientation, acceleration, and/or position in three-dimensional space may be used as inputs to particular image processing routines.

Abstract: Methods, systems and apparatus, including computer program products, for manipulating video streams in videoconference session. A reference background image is identified from a first video frame in a video stream of a videoconferencing environment. A subsequent video frame from the video stream is received. Areas of the subsequent video frame corresponding to a foreground area are identified. The foreground area includes pixels of the subsequent video frame that are different from corresponding pixels in the first video frame. The foreground area is transformed based on a selected image transformation. The transformed foreground area is composited onto the reference background image into a composite video frame.

Abstract: An image of a background is stored and thereafter removed from a video stream. Substitute background video data is merged into the video stream and provided to videoconference participants.