Abstract: A user attempting to obtain information about an object can capture image information including a view of that object, and the image information can be used with a matching or identification process to provide information about that type of object to the user. In order to narrow the search space to a specific category, and thus improve the accuracy of the results and the speed at which results can be obtained, the user can be guided to capture image information with an appropriate orientation. An outline or other graphical guide can be displayed over image information captured by a computing device, in order to guide the user in capturing the object from an appropriate direction and with an appropriate scale for the type of matching and/or information used for the matching. Such an approach enables three-dimensional objects to be analyzed using conventional two-dimensional identification algorithms, among other such processes.

Abstract: The determination of a gaze direction or field of view of a user with respect to a computing device can control aspects of the device, such as to reduce power or resource consumption. A computing device can include an imaging element and software for locating aspects of a user's facial features relative to the device, such that an orientation of the user's features relative to the device can be determined. Various actions on the device can be executed based at least in part upon a determined gaze direction of the user. In some embodiments, a display element of the device can turn off, and one or more inputs can be disabled, when the user is not looking at the device.

Abstract: Computing devices can collaborate in order to take advantage of various components distributed across those devices. In various embodiments, image information captured by multiple devices can be used to identify and determine the relative locations of various persons and objects near those devices, even when not every device can view those persons or objects. In some embodiments, one or more audio or video capture elements can be selected based on their proximity and orientation to an object to be captured. In some embodiments, the information captured from the various audio and/or video elements can be combined to provide three-dimensional imaging, surround sound, and other such capture data.

Abstract: Data provided on a first computing device is represented by a graphical object displayed on a screen. A user can initiate an “attach event” with a gesture to enable the graphical object to be associated and/or virtually attached to the user and/or a user's hand/fingers. An image capture component can view/track user movements. Based on the viewed/tracked movements, the graphical object representing the data on the first computing device can be moved on a screen of the first computing device to correspond to the movement of the user's hand/finger. The graphical object also can be moved to a position on a screen of a second computing device when the user moves a hand/fingers to an area corresponding to the position. A user may initiate a “release event” with a gesture and can end the association and enable the data to be sent to the second computing device.

Abstract: Image capture can be improved by capturing a sequence of images and analyzing the images to select the image with the least blur and/or an acceptable amount of blur. Gradients can be calculated for at least a portion of the images, and gradient histograms generated. Two or more component curves can be fit to each histogram, such as by using a Gaussian mixture model, and the curves can be compared to determine an amount of variation between the curves. The image with the smallest differences between component curves, or with differences less than a specified blur threshold, can be selected as a sufficiently sharp image and provided for viewing, processing, or another intended purpose of the image to be captured.

Abstract: A processing device receives, from a user device, image information associated with an image, the image information providing an indication of an application installed on the user device or a second electronic device. The processing device determines a descriptor associated with the application based on analyzing the image information. The processing device compares the descriptor to one or more stored image descriptors associated with each of a plurality of known applications. Based at least in part on the comparing, the processing device determines identifying information associated with the application. The processing device sends the identifying information to the user device.

Abstract: Various approaches enable automatic communication generation based on patterned behavior in a particular context. For example, a computing device can monitor behavior of a user to determine patterns of communication behavior in certain situations. In response to detecting multiple occurrences of the certain situation, a computing device can prompt a user to perform an action corresponding to the pattern of behavior. In some embodiments, a set of speech models corresponding to a type of contact is generated. The speech models include language consistent with patterns of speech between a user and the type of contact. Based on context and on the contact, a message using language consistent with past communications between the user and contact is generated from a speech model associated with the type of contact.

Abstract: A user can be identified and/or authenticated to an electronic device by analyzing aspects of a motion or gesture made by that user. At least one imaging element of the device can capture image information including the motion or gesture, and can determine time-dependent information about that motion or gesture in two or three dimensions of space. The time-dependent information can be used to identify varying speeds, motions, and other such aspects that are indicative of a particular user. The way in which a gesture or motion is made, in addition to the motion or gesture itself, can be used to authenticate an individual user. While other persons can learn the basic gesture or motion, the way in which each person makes that gesture or motion will generally be at least slightly different, which can be used to prevent unauthorized access to sensitive information, protected functionality, or other such content.

Abstract: A user attempting to obtain information about an object can capture image information including a view of that object, and the image information can be used with a matching or identification process to provide information about that type of object to the user. In order to narrow the search space to a specific category, and thus improve the accuracy of the results and the speed at which results can be obtained, the user can be guided to capture image information with an appropriate orientation. An outline or other graphical guide can be displayed over image information captured by a computing device, in order to guide the user in capturing the object from an appropriate direction and with an appropriate scale for the type of matching and/or information used for the matching. Such an approach enables three-dimensional objects to be analyzed using conventional two-dimensional identification algorithms, among other such processes.