Abstract: In various implementations, a computing device is configured to provide a live preview of salient contours generated on a live digital video feed. In particular, a designer can use a computing device with a camera, such as a smart phone, to view a real-time preview of salient contours generated from edges detected in frames of a live digital video feed prior to capture, thereby eliminating the unpredictability of salient contours generated from a previously captured image. In some implementations, the salient contours are overlaid on a greyscale conversion of the live digital video feed for improved processing and visual contrast. Other implementations modify aspects of edge-detecting or post-processing filters for improved performance on mobile computing devices.

Abstract: In various implementations, a computing device is configured to provide a live preview of salient contours generated on a live digital video feed. In particular, a designer can use a computing device with a camera, such as a smart phone, to view a real-time preview of salient contours generated from edges detected in frames of a live digital video feed prior to capture, thereby eliminating the unpredictability of salient contours generated from a previously captured image. In some implementations, the salient contours are overlaid on a greyscale conversion of the live digital video feed for improved processing and visual contrast. Other implementations modify aspects of edge-detecting or post-processing filters for improved performance on mobile computing devices.

Abstract: In various implementations, a computing device is configured to provide a live preview of salient contours generated on a live digital video feed. In particular, a designer can use a computing device with a camera, such as a smart phone, to view a real-time preview of salient contours generated from edges detected in frames of a live digital video feed prior to capture, thereby eliminating the unpredictability of salient contours generated from a previously captured image. In some implementations, the salient contours are overlaid on a greyscale conversion of the live digital video feed for improved processing and visual contrast. Other implementations modify aspects of edge-detecting or post-processing filters for improved performance on mobile computing devices.

Abstract: Techniques for external device screen targeting are described. In one or more implementations, location information of a mobile computing device is calculated based on a distance between the mobile computing device and multiple signal transmitters having predefined locations. In addition, a compass heading of the mobile computing device is identified that indicates an orientation of the mobile computing device. The location information and the compass heading of the mobile computing device is then applied to correlate with display-location data of an application for interaction with one or more objects displayed on a display device.

Abstract: Internet access or connectivity is determined by sending a request to a third-party service to which connectivity is desired with an application on a client computing device and responsive to receiving a response, attempting to rule out a false positive response from an entity other than the third-party service.

Abstract: Various embodiments provide an intelligent adaptive content canvas that can enable users to access content, such as photos and videos, and consume the content in an adaptive environment that tailors the user experience in accordance with various parameters. The user experience is personalized to the user and is adaptively predictive in a manner that attempts to surface content that the user would likely wish to consume.

Abstract: Various embodiments provide an intelligent adaptive content canvas that can enable users to access content, such as photos and videos, and consume the content in an adaptive environment that tailors the user experience in accordance with various parameters. The user experience is personalized to the user and is adaptively predictive in a manner that attempts to surface content that the user would likely wish to consume.

Abstract: In various implementations, a computing device is configured to provide a live preview of salient contours generated on a live digital video feed. In particular, a designer can use a computing device with a camera, such as a smart phone, to view a real-time preview of salient contours generated from edges detected in frames of a live digital video feed prior to capture, thereby eliminating the unpredictability of salient contours generated from a previously captured image. In some implementations, the salient contours are overlaid on a greyscale conversion of the live digital video feed for improved processing and visual contrast. Other implementations modify aspects of edge-detecting or post-processing filters for improved performance on mobile computing devices.

Abstract: In various implementations, a computing device is configured to provide a live preview of salient contours generated on a live digital video feed. In particular, a designer can use a computing device with a camera, such as a smart phone, to view a real-time preview of salient contours generated from edges detected in frames of a live digital video feed prior to capture, thereby eliminating the unpredictability of salient contours generated from a previously captured image. In some implementations, the salient contours are overlaid on a greyscale conversion of the live digital video feed for improved processing and visual contrast. Other implementations modify aspects of edge-detecting or post-processing filters for improved performance on mobile computing devices.

Abstract: In various implementations, a computing device is configured to provide a live preview of salient contours generated on a live digital video feed. In particular, a designer can use a computing device with a camera, such as a smart phone, to view a real-time preview of salient contours generated from edges detected in frames of a live digital video feed prior to capture, thereby eliminating the unpredictability of salient contours generated from a previously captured image. In some implementations, the salient contours are overlaid on a greyscale conversion of the live digital video feed for improved processing and visual contrast. Other implementations modify aspects of edge-detecting or post-processing filters for improved performance on mobile computing devices.

Abstract: Techniques for external device screen targeting are described. In one or more implementations, location information of a mobile computing device is calculated based on a distance between the mobile computing device and multiple signal transmitters having predefined locations. In addition, a compass heading of the mobile computing device is identified that indicates an orientation of the mobile computing device. The location information and the compass heading of the mobile computing device is then applied to correlate with display-location data of an application for interaction with one or more objects displayed on a display device.

Abstract: Internet access or connectivity is determined by sending a request to a third-party service to which connectivity is desired with an application on a client computing device and responsive to receiving a response, attempting to rule out a false positive response from an entity other than the third-party service.

Abstract: Various embodiments provide an intelligent adaptive content canvas that can enable users to access content, such as photos and videos, and consume the content in an adaptive environment that tailors the user experience in accordance with various parameters. The user experience is personalized to the user and is adaptively predictive in a manner that attempts to surface content that the user would likely wish to consume.

Abstract: Various embodiments provide an intelligent adaptive content canvas that can enable users to access content, such as photos and videos, and consume the content in an adaptive environment that tailors the user experience in accordance with various parameters. The user experience is personalized to the user and is adaptively predictive in a manner that attempts to surface content that the user would likely wish to consume.

Abstract: Various embodiments provide an intelligent adaptive content canvas that can enable users to access content, such as photos and videos, and consume the content in an adaptive environment that tailors the user experience in accordance with various parameters. The user experience is personalized to the user and is adaptively predictive in a manner that attempts to surface content that the user would likely wish to consume.