Bill Banta

Methods and systems for automated faux-manual image-marking of a digital image are disclosed, including a method comprising obtaining results of an automated analysis of one or more digital image indicative of determinations of structure abnormalities of one or more portions of a structure depicted in the one or more digital image; applying automatically, on the one or more digital image, with one or more computer processors, standardized markings indicative of the location in the image of the… Show more

Methods and systems for automated faux-manual image-marking of a digital image are disclosed, including a method comprising obtaining results of an automated analysis of one or more digital image indicative of determinations of structure abnormalities of one or more portions of a structure depicted in the one or more digital image; applying automatically, on the one or more digital image, with one or more computer processors, standardized markings indicative of the location in the image of the structure abnormalities of the structure depicted in the image; and generating, automatically with the one or more computer processors, one or more faux-manual markings by modifying one or more of the standardized markings, utilizing one or more image-manipulation algorithm, wherein the faux-manual markings mimic an appearance of manual markings on the structure in the real world. Show less

Devices, systems and methods are disclosed for improving a playback of video data and generation of a video summary. For example, annotation data may be generated for individual video frames included in the video data to indicate content present in the individual video frames, such as faces, objects, pets, speech or the like. A video summary may be determined by calculating a priority metric for individual video frames based on the annotation data. In response to input indicating a face and a… Show more

Devices, systems and methods are disclosed for improving a playback of video data and generation of a video summary. For example, annotation data may be generated for individual video frames included in the video data to indicate content present in the individual video frames, such as faces, objects, pets, speech or the like. A video summary may be determined by calculating a priority metric for individual video frames based on the annotation data. In response to input indicating a face and a period of time, a video summary can be generated including video segments focused on the face within the period of time. The video summary may be directed to multiple faces and/or objects based on the annotation data. Show less

This application describes techniques for correcting distortion in projected images. In some instances, a projection device may project an image onto a projection surface within an environment. However, the projected image may initially distorted from the perspective of a user within the environment due to the angle of the projection onto the surface and due to the location of the user relative to the projection. To help correct this distortion from the vantage point of the user, the user… Show more

This application describes techniques for correcting distortion in projected images. In some instances, a projection device may project an image onto a projection surface within an environment. However, the projected image may initially distorted from the perspective of a user within the environment due to the angle of the projection onto the surface and due to the location of the user relative to the projection. To help correct this distortion from the vantage point of the user, the user utilizes a mobile device to capture an image of the projection. This image is then used to calculate one or more calibration parameters for execution by the projection device to remove the distortion of the image as projected from the perspective of the user. Show less

A server includes an input node to receive video streams forming a panoramic video. A module forms a suggested field of view in the panoramic video. The suggested field of view is based upon a viewing parameter, such as a client device motion parameter or a motion prediction parameter. An output node sends the suggested field of view to a client device.

Devices, systems and methods are disclosed for generating video tags associated with previously captured video data. During a recording mode, video data may be captured and uploaded to a server. In response to a command, video may be tagged and selected, for example for inclusion in a video summary. During a standby mode, video data may be captured and temporarily stored in a buffer. In response to the command, video data stored in the buffer prior to the command may be selected. The video data… Show more

Devices, systems and methods are disclosed for generating video tags associated with previously captured video data. During a recording mode, video data may be captured and uploaded to a server. In response to a command, video may be tagged and selected, for example for inclusion in a video summary. During a standby mode, video data may be captured and temporarily stored in a buffer. In response to the command, video data stored in the buffer prior to the command may be selected. The video data may be selected for further processing and/or uploaded to the server. Show less

Devices, systems and methods are disclosed for allowing multiple devices to generate tags associated with video data captured by a single device. For example, a recording device may capture and upload video data and the multiple devices may generate tags identifying memorable moments. The tags may be used to generate a video summary, such as a single video summary for the captured video data that includes video data associated with tags generated by multiple devices. In addition, the tags may… Show more

Devices, systems and methods are disclosed for allowing multiple devices to generate tags associated with video data captured by a single device. For example, a recording device may capture and upload video data and the multiple devices may generate tags identifying memorable moments. The tags may be used to generate a video summary, such as a single video summary for the captured video data that includes video data associated with tags generated by multiple devices. In addition, the tags may be associated with unique devices and may be used to generate multiple video summaries. For example, the tags may be used to generate individual video summaries for each of the multiple devices. Therefore, multiple devices may tag the captured video data to generate the single video summary and/or multiple individual video summaries. Show less

This disclosure describes, in part, voice-controlled light switches that act as voice-controlled endpoints at which users may provide voice commands. These light switches may physically couple to a power source, as well as to one or more appliances. The light switches may include physical switches to selectively provide power to the appliances, either in a binary fashion (on or off) or along of spectrum of positions. In either instance, the appliances coupled to the light switches may include… Show more

This disclosure describes, in part, voice-controlled light switches that act as voice-controlled endpoints at which users may provide voice commands. These light switches may physically couple to a power source, as well as to one or more appliances. The light switches may include physical switches to selectively provide power to the appliances, either in a binary fashion (on or off) or along of spectrum of positions. In either instance, the appliances coupled to the light switches may include lights, electrical outlets, home appliances (e.g., dishwashers, washing machines, etc.), factory machinery, or any other device that receives electrical power. Show less