Abstract:
In one example, a method includes determining, by a first motion module of a computing device and based on first motion data measured by a first motion sensor at a first time, that the mobile computing device has moved, wherein a display operatively coupled to the computing device is deactivated at the first time; responsive to determining that the computing device has moved, activating a second motion module; determining, by the second motion module, second motion data measured by a second motion sensor, wherein determining the second motion data uses a greater quantity of power than determining the first motion data; determining a statistic of a group of statistics based on the second motion data; and responsive to determining that at least one of the group of statistics satisfies a threshold, activating the display.
Abstract:
A transformed video and a source video may be synchronized according to implementations disclosed herein to provide tag information to the device receiving the transformed version of the video. A synchronization signal may be computed on the source video and the transformed video using a statistic such as mean pixel intensity. The synchronization signals computed for the transformed video and source video may be compared to determine a transformed video reference point location for the requested tag information. The requested tag information may be provided to the device receiving the transformed version of the video.
Abstract:
In one example, a method includes determining, by a first motion module of a computing device and based on first motion data measured by a first motion sensor at a first time, that the mobile computing device has moved, wherein a display operatively coupled to the computing device is deactivated at the first time; responsive to determining that the computing device has moved, activating a second motion module; determining, by the second motion module, second motion data measured by a second motion sensor, wherein determining the second motion data uses a greater quantity of power than determining the first motion data; determining a statistic of a group of statistics based on the second motion data; and responsive to determining that at least one of the group of statistics satisfies a threshold, activating the display.
Abstract:
An example method includes receiving a first image and a second image of a face of a user, where one or both images have been granted a match by facial recognition. The method further includes detecting a liveness gesture based on at least one of a yaw angle of the second image relative to the first image and a pitch angle of the second image relative to the first image, where the yaw angle corresponds to a transition along a horizontal axis, and where the pitch angle corresponds to a transition along a vertical axis. The method further includes generating a liveness score based on a yaw angle magnitude and/or a pitch angle magnitude, comparing the liveness score to a threshold value, and determining, based on the comparison, whether to deny authentication to the user with respect to accessing one or more functionalities controlled by the computing device.
Abstract:
Supplemental information to a media content such as a video can be shown to the user. The supplemental information can be selected based upon a profile of the user and one or both of the identity of the media content and the identity of an entity of interest in the media content. The supplemental information can be customized to the user based on the content being viewed and an entity of interest to the user in the viewed content.
Abstract:
An example method includes capturing, by a camera of a mobile computing device, an image, determining whether the image includes a representation of at least a portion of a face, and, when the image includes the representation of at least the portion of the face, analyzing characteristics of the image. The characteristics include at least one of a tonal distribution of the image that is associated with a darkness-based mapping of a plurality of pixels of the image, and a plurality of spatial frequencies of the image that are associated with a visual transition between adjacent pixels of the image. The method further includes classifying, by the mobile computing device, a quality of the image based at least in part on the analyzed characteristics of the image.
Abstract:
A method for dynamic switching of user profiles on a computing device. The computing device is coupled to at least one image-sensing device and can be configured using a plurality of stored user profiles. The method includes receiving at least one image from the at least one image-sensing device and generating a current user value based on the at least one received image. The method further includes determining if the current user value corresponds to at least one stored user value corresponding to a stored user profile. If the current user value corresponds to at least one stored user value, the method includes retrieving the stored user profile and configuring at least some programs operating on the computing device using the retrieved user profile. If the current user value does correspond to at least one stored user value, the method includes configuring the computing device using an alternative method.
Abstract:
Supplemental information to a media content such as a video can be shown to the user. The supplemental information can be selected based upon a profile of the user and one or both of the identity of the media content and the identity of an entity of interest in the media content. The supplemental information can be customized to the user based on the content being viewed and an entity of interest to the user in the viewed content.
Abstract:
A method for dynamic switching of user profiles on a computing device. The computing device is coupled to at least one image-sensing device and can be configured using a plurality of stored user profiles. The method includes receiving at least one image from the at least one image-sensing device and generating a current user value based on the at least one received image. The method further includes determining if the current user value corresponds to at least one stored user value corresponding to a stored user profile. If the current user value corresponds to at least one stored user value, the method includes retrieving the stored user profile and configuring at least some programs operating on the computing device using the retrieved user profile. If the current user value does correspond to at least one stored user value, the method includes configuring the computing device using an alternative method.
Abstract:
An example method includes capturing, by a camera of a mobile computing device, an image, determining whether the image includes a representation of at least a portion of a face, and, when the image includes the representation of at least the portion of the face, analyzing characteristics of the image. The characteristics include at least one of a tonal distribution of the image that is associated with a darkness-based mapping of a plurality of pixels of the image, and a plurality of spatial frequencies of the image that are associated with a visual transition between adjacent pixels of the image. The method further includes classifying, by the mobile computing device, a quality of the image based at least in part on the analyzed characteristics of the image.