Abstract: The embodiments set forth a technique for enabling a computing device to securely configure a peripheral computing device. According to some embodiments, the method can include the steps of (1) approving a request received from the peripheral computing device to engage in a setup procedure for the peripheral computing device, (2) receiving, from the peripheral computing device: (i) an audio signal that encodes a password and timing information, and (ii) a light signal. Additionally, the method can involve, in response to identifying that the timing information correlates with the light signal: (3) extracting the password from the audio signal, and (4) establishing a communication link with the peripheral computing device based on the password. In turn, the method can involve (5) providing configuration information to the peripheral computing device over the communication link.

Abstract: In various implementations a method includes obtaining a plurality of source images, stabilizing the plurality of source images to generate a plurality of stabilized images, and averaging the plurality of stabilized image to generate a synthetic long exposure image. In various implementations, stabilizing the plurality of source images includes: selecting one of the plurality of source images to serve as a reference frame; and registering others of the plurality of source images to the reference frame by applying a perspective transformation to others of the plurality of the source images.

Abstract: Techniques and devices for creating an AutoLoop output video include performing postgate operations. The AutoLoop output video is created from a set of frames. After generating the AutoLoop output video based on a plurality of loop parameters and at least a portion of the frames, postgate operations determine one or more dynamism metrics based on a variability metric and a dynamic range metric for a plurality of pixels within the video loop. Postgate operations compare the dynamism metrics to one or more postgate threshold values and reject the video loop based on the comparison of the dynamism metrics to the postgate threshold values.

Abstract: Techniques and devices for creating an AutoLoop output video include performing pregate operations. The AutoLoop output video is created from a set of frames. Prior to creating the AutoLoop output video, the set of frames are automatically analyzed to identify one or more image features that are indicative of whether the image content in the set of frames is compatible with creating a video loop. Pregate operations assign one or more pregate scores for the set of frames based on the one or more identified image features, where the pregate scores indicate a compatibility to create the video loop based on the identified image features. Pregate operations automatically determine to create the video loop based on the pregate scores and generate an output video loop based on the loop parameters and at least a portion of the set of frames.

Abstract: Techniques and devices for creating an AutoLoop output video include identifying optimal loops within short videos or within a series of image. The AutoLoop output video may be automatically created using casually shot, handheld videos, and may include an AutoLoop pipeline that may comprise obtaining an input video, stabilizing the input video, detecting optimal loop parameters and baking out the AutoLoop output video with crossfade and playing back the AutoLoop output video. Video stabilization can include a cascade of video stabilization algorithms including a tripod-direct mode and a tripod-sequential mode. After stabilization, an AutoLoop operation may determine optimal loop parameters. Once optimal loop parameters are determined, a crossfade may be added to smooth out any temporal and spatial discontinuities in the AutoLoop output video.

Abstract: A user interface enables a user to calibrate the position of a three dimensional model with a real-world environment represented by that model. Using a device's sensor, the device's location and orientation is determined. A video image of the device's environment is displayed on the device's display. The device overlays a representation of an object from a virtual reality model on the video image. The position of the overlaid representation is determined based on the device's location and orientation. In response to user input, the device adjusts a position of the overlaid representation relative to the video image.

Abstract: A method of establishing communications with a first device is disclosed. The method includes: the first device presenting connection information to a second device; receiving a response from a second device; establishing an association with the second device; transmitting, in response to a determination that the first device and the second device are connected for data, first data to the second device, the first data comprising addressing information for a server; receiving second data from the second device, the second data comprising second information for establishing communications with the first device; and configuring the first device to receive third data from a location remote to the first device using the second information from the second data.

Abstract: A method of establishing communications with a first device is disclosed. The method includes: the first device presenting connection information to a second device; receiving a response from a second device; establishing an association with the second device; transmitting, in response to a determination that the first device and the second device are connected for data, first data to the second device, the first data comprising addressing information for a server; receiving second data from the second device, the second data comprising second information for establishing communications with the first device; and configuring the first device to receive third data from a location remote to the first device using the second information from the second data.

Abstract: Techniques and devices for creating an AutoLoop output video by adding synthetic camera motion to the AutoLoop output video. The AutoLoop output video is created from a set of frames. After generating the AutoLoop output video based on a plurality of loop parameters and at least a portion of the frames, synthetic camera motion is combined with the AutoLoop output video. The synthetic camera loop is based on the subset of the input frames and exhibits some amount of camera motion for the subset of the input frames. Once the synthetic camera loop is generated, the synthetic camera loop and the video loop is combined to enhance the AutoLoop output video.

Abstract: Techniques and devices for creating an AutoLoop output video include performing postgate operations. The AutoLoop output video is created from a set of frames. After generating the AutoLoop output video based on a plurality of loop parameters and at least a portion of the frames, postgate operations determine one or more dynamism metrics based on a variability metric and a dynamic range metric for a plurality of pixels within the video loop. Postgate operations compare the dynamism metrics to one or more postgate threshold values and reject the video loop based on the comparison of the dynamism metrics to the postgate threshold values.

Abstract: Techniques and devices for creating an AutoLoop output video include identifying optimal loops within short videos or within a series of image. The AutoLoop output video may be automatically created using casually shot, handheld videos, and may include an AutoLoop pipeline that may comprise obtaining an input video, stabilizing the input video, detecting optimal loop parameters and baking out the AutoLoop output video with crossfade and playing back the AutoLoop output video. Video stabilization can include a cascade of video stabilization algorithms including a tripod-direct mode and a tripod-sequential mode. After stabilization, an AutoLoop operation may determine optimal loop parameters. Once optimal loop parameters are determined, a crossfade may be added to smooth out any temporal and spatial discontinuities in the AutoLoop output video.

Abstract: Techniques and devices for creating an AutoLoop output video by adding synthetic camera motion to the AutoLoop output video. The AutoLoop output video is created from a set of frames. After generating the AutoLoop output video based on a plurality of loop parameters and at least a portion of the frames, synthetic camera motion is combined with the AutoLoop output video. The synthetic camera loop is based on the subset of the input frames and exhibits some amount of camera motion for the subset of the input frames. Once the synthetic camera loop is generated, the synthetic camera loop and the video loop is combined to enhance the AutoLoop output video.

Abstract: Techniques and devices for creating an AutoLoop output video include performing pregate operations. The AutoLoop output video is created from a set of frames. Prior to creating the AutoLoop output video, the set of frames are automatically analyzed to identify one or more image features that are indicative of whether the image content in the set of frames is compatible with creating a video loop. Pregate operations assign one or more pregate scores for the set of frames based on the one or more identified image features, where the pregate scores indicate a compatibility to create the video loop based on the identified image features. Pregate operations automatically determine to create the video loop based on the pregate scores and generate an output video loop based on the loop parameters and at least a portion of the set of frames.

Abstract: Techniques and devices for creating a Forward-Reverse Loop output video and other output video variations. A pipeline may include obtaining input video and determining a start frame within the input video and a frame length parameter based on a temporal discontinuity minimization. The selected start frame and the frame length parameter may provide a reversal point within the Forward-Reverse Loop output video. The Forward-Reverse Loop output video may include a forward segment that begins at the start frame and ends at the reversal point and a reverse segment that starts after the reversal point and plays back one or more frames in the forward segment in a reverse order. The pipeline for the generating Forward-Reverse Loop output video may be part of a shared resource architecture that generates other types of output video variations, such as AutoLoop output videos and Long Exposure output videos.

Abstract: A user interface enables a user to calibrate the position of a three dimensional model with a real-world environment represented by that model. Using a device's sensor, the device's location and orientation is determined. A video image of the device's environment is displayed on the device's display. The device overlays a representation of an object from a virtual reality model on the video image. The position of the overlaid representation is determined based on the device's location and orientation. In response to user input, the device adjusts a position of the overlaid representation relative to the video image.

Abstract: A method of establishing communications with a first device is disclosed. The method includes: the first device presenting connection information to a second device; receiving a response from a second device; establishing an association with the second device; transmitting, in response to a determination that the first device and the second device are connected for data, first data to the second device, the first data comprising addressing information for a server; receiving second data from the second device, the second data comprising second information for establishing communications with the first device; and configuring the first device to receive third data from a location remote to the first device using the second information from the second data.

Abstract: A method of establishing communications with a first device is disclosed. The method includes: the first device presenting connection information to a second device; receiving a response from a second device; establishing an association with the second device; transmitting, in response to a determination that the first device and the second device are connected for data, first data to the second device, the first data comprising addressing information for a server; receiving second data from the second device, the second data comprising second information for establishing communications with the first device; and configuring the first device to receive third data from a location remote to the first device using the second information from the second data.

Abstract: Techniques to permit a digital image capture device to stabilize a video stream in real-time (during video capture operations) are presented. In general, techniques are disclosed for stabilizing video images using an overscan region and a look-ahead technique enabled by buffering a number of video input frames before generating a first stabilized video output frame. (Capturing a larger image than is displayed creates a buffer of pixels around the edge of an image; overscan is the term given to this buffer of pixels.) More particularly, techniques are disclosed for buffering an initial number of input frames so that a “current” frame can use motion data from both “past” and “future” frames to adjust the strength of a stabilization metric value so as to keep the current frame within its overscan. This look-ahead and look-behind capability permits a smoother stabilizing regime with fewer abrupt adjustments.

Abstract: One embodiment may take the form of a method of operating a computing device to provide presence based functionality. The method may include operating the computing device in a reduced power state and collecting a first set of data from a first sensor. Based on the first set of data, the computing device determines if an object is within a threshold distance of the computing device and, if the object is within the threshold distance, the device activates a secondary sensor to collect a second set of data. Based on the second set of data, the device determines if the object is a person. If the object is a person, the device determines a position of the person relative to the computing device and executes a change of state in the computing device based on the position of the person relative to the computing device. If the object is not a person, the computing device remains in a reduced power state.

Abstract: A user interface enables a user to calibrate the position of a three dimensional model with a real-world environment represented by that model. Using a device's sensor suite, the device's location and orientation is determined. A video image of the device's environment is displayed on the device's display. The device overlays a representation of an object from a virtual reality model on the video image. The position of the overlaid representation is determined based on the device's location and orientation. In response to user input, the device adjusts a position of the overlaid representation relative to the video image.