Abstract: This disclosure relates to techniques for synthesizing out of focus highlighting effects in images in real-time. Digital single-lens reflex (DSLR) cameras and other cameras having wide aperture lenses typically capture images with a shallow depth of field (SDOF). So-called SDOF photography may be particularly fit for portrait photography, since it nicely emphasizes the subject, while essentially deemphasizing the background via blurring. Simulating this kind of blurring, particularly around background light sources, using a comparatively larger depth of field (LDOF) camera, may require a high dynamic range (HDR) image capture system, to accurately determine the color of background light sources, which are prone to saturation. However, small form-factor cameras having smaller lens apertures may not have the bandwidth or processing power to process full HDR images in real time.

Abstract: This disclosure relates to the lightweight and efficient synthesis of shallow depth of field (SDOF) renderings. According to some embodiments, coarse focus information and semantic segmentation information may be leveraged to generate SDOF renderings in a “live preview” or “streaming” mode. Semantic segmentation may be defined as a process of creating a mask over an image, wherein pixels are segmented into a predefined set of semantic classes. Segmentations may include as many classes as are desired by a given implementation (e.g., a ‘foreground’ class and a ‘background’ class). In some embodiments, the rendering of synthetic SDOF images according to the techniques described herein may be completed using only a single camera of a device and without the use of dedicated depth-sensing technology (e.g., structured light cameras, stereo cameras, time-of-flight cameras, etc.), thereby allowing the SDOF rendering process to operate in a fashion that is not unduly time-, processing-, and/or power-intensive.

Abstract: A method is performed by a first communication device for directing an antenna beam based on a location of a second communication device. The method includes receiving first location data that indicates the location of the second communication device. The first location data is received over a first communication channel. The method further includes determining, based on the first location data, first antenna beam parameters for directing an antenna beam in order to communicate with the second communication device over a second communication channel.

Abstract: A method is performed by a first communication device for directing an antenna beam based on motion. The method includes directing an antenna beam in a first direction. The method further includes receiving motion data that indicates movement of the first communication device or a second communication device. Moreover, the method includes determining, based on the motion data, a change in direction of the antenna beam from the first direction to a second direction toward the second communication device.

Abstract: A method is performed by a first communication device for directing an antenna beam based on a location of a second communication device. The method includes receiving first location data that indicates the location of the second communication device. The first location data is received over a first communication channel. The method further includes determining, based on the first location data, first antenna beam parameters for directing an antenna beam in order to communicate with the second communication device over a second communication channel.

Abstract: A method is performed by a first communication device for directing an antenna beam based on motion. The method includes directing an antenna beam in a first direction. The method further includes receiving motion data that indicates movement of the first communication device or a second communication device. Moreover, the method includes determining, based on the motion data, a change in direction of the antenna beam from the first direction to a second direction toward the second communication device.

Abstract: A method, a system, and computer program product for creating a composite image from multi-frame raw image data. The method includes extracting each individual frame from a plurality of frames within raw image data and determining a sharpness score for a region of each individual frame. A particular frame that has a sharpest region from among the plurality of frames is then selected as a reference frame. Each pixel in the reference frame is then registered to a plurality of corresponding pixels from non-reference frames of the plurality of frames. Equivalent pixels from the reference frame and each non-reference frame are then summed to create a composite image.