Abstract: The use of phosphatidylserine as a target for treating inflammatory bowel disease. Phosphatidylserine can be used as a marker of inflammatory bowel disease and used for drug screening. Annexin A5 can be traced by phosphatidylserine in the extracellular membrane and indicate the location of lesions and extent of inflammatory bowel disease, and can be used to treat inflammatory bowel disease. Better anti-inflammatory effects can be generated by mutating Annexin A5.

Abstract: A punching bag training system has a monitoring device, a group display, and training stations. Each training station has a station computing device, a punching bag, a punching sensor, and a training station identifier. The punching sensor has a punching sensor transmitter. The punching sensor is configured to wirelessly transmit punching sensor data utilizing the punching sensor transmitter. The punching sensor data may contain punch count, punch power, power punch, punch direction, and combinations thereof. The station computing device is configured to receive the punching sensor data.

Abstract: Techniques and systems are provided for generating a background picture. The background picture can be used for coding one or more pictures. For example, a method of generating a background picture includes generating a long-term background model for one or more pixels of a background picture. The long-term background model includes a statistical model for detecting long-term motion of the one or more pixels in a sequence of pictures. The method further includes generating a short-term background model for the one or more pixels of the background picture. The short-term background model detects short-term motion of the one or more pixels between two or more pictures. The method further includes determining a value for the one or more pixels of the background picture using the long-term background model and the short-term background model.

Abstract: Techniques and systems are provided for performing predictive random access using a background picture. For example, a method of decoding video data includes obtaining an encoded video bitstream comprising a plurality of pictures. The plurality of pictures include a plurality of predictive random access pictures. A predictive random access picture is at least partially encoded using inter-prediction based on at least one background picture. The method further includes determining, for a time instance of the video bitstream, a predictive random access picture of the plurality of predictive random access pictures with a time stamp closest in time to the time instance. The method further includes determining a background picture associated with the predictive random access picture, and decoding at least a portion of the predictive random access picture using inter-prediction based on the background picture.

Abstract: Techniques and systems are provided for generating a background picture. The background picture can be used for coding one or more pictures. For example, a method of generating a background picture includes generating a long-term background model for one or more pixels of a background picture. The long-term background model includes a statistical model for detecting long-term motion of the one or more pixels in a sequence of pictures. The method further includes generating a short-term background model for the one or more pixels of the background picture. The short-term background model detects short-term motion of the one or more pixels between two or more pictures. The method further includes determining a value for the one or more pixels of the background picture using the long-term background model and the short-term background model.

Abstract: Techniques and systems are provided for performing predictive random access using a background picture. For example, a method of decoding video data includes obtaining an encoded video bitstream comprising a plurality of pictures. The plurality of pictures include a plurality of predictive random access pictures. A predictive random access picture is at least partially encoded using inter-prediction based on at least one background picture. The method further includes determining, for a time instance of the video bitstream, a predictive random access picture of the plurality of predictive random access pictures with a time stamp closest in time to the time instance. The method further includes determining a background picture associated with the predictive random access picture, and decoding at least a portion of the predictive random access picture using inter-prediction based on the background picture.

Abstract: The example techniques of this disclosure are directed to generating a stereoscopic view from an application designed to generate a mono view. For example, the techniques may modify source code of a vertex shader to cause the modified vertex shader, when executed, to generate graphics content for the images of the stereoscopic view. As another example, the techniques may modify a command that defines a viewport for the mono view to commands that define the viewports for the images of the stereoscopic view.

Abstract: The example techniques of this disclosure are directed to generating a stereoscopic view from an application designed to generate a mono view. For example, the techniques may modify instructions for a vertex shader based on a viewing angle. When the modified vertex shader is executed, the modified vertex shader may generate coordinates for vertices for a stereoscopic view based on the viewing angle.

Abstract: Embodiments include methods and systems for context-adaptive pixel processing based, in part, on a respective weighting-value for each pixel or a group of pixels. The weighting-values provide an indication as to which pixels are more pertinent to pixel processing computations. Computational resources and effort can be focused on pixels with higher weights, which are generally more pertinent for certain pixel processing determinations.

Abstract: This disclosure describes techniques for modifying application program interface (API) calls in a manner that can cause a device to render native three dimensional (3D) graphics content in stereoscopic 3D. The techniques of this disclosure can be implemented in a manner where API calls themselves are modified, but the API itself and the GPU hardware are not modified. The techniques of the present disclosure include using the same viewing frustum defined by the original content to generate a left-eye image and a right-eye image and shifting the viewport offset of the left-eye image and the right-eye image.

Abstract: In general, this disclosure describes techniques for providing a gesture-based user interface. For example, according to some aspects of the disclosure, a user interface generally includes a camera and a computing device that identifies and tracks the motion of one or more fingertips of a user. In some examples, the user interface is configured to identify predefined gestures (e.g., patterns of motion) associated with certain motions of the user's fingertips. In another example, the user interface is configured to identify hand postures (e.g., patterns of showing up of fingertips). Accordingly, the user can interact with the computing device by performing the gestures.

Abstract: The techniques of this disclosure are directed to the feedback-based stereoscopic display of three-dimensional images, such as may be used for video telephony (VT) and human-machine interface (HMI) application. According to one example, a region of interest (ROI) of stereoscopically captured images may be automatically determined based on determining disparity for at least one pixel of the captured images are described herein. According to another example, a zero disparity plane (ZDP) for the presentation of a 3D representation of stereoscopically captured images may be determined based on an identified ROI. According to this example, the ROI may be automatically identified, or identified based on receipt of user input identifying the ROI.

Abstract: Embodiments include methods and systems for context-adaptive pixel processing based, in part, on a respective weighting-value for each pixel or a group of pixels. The weighting-values provide an indication as to which pixels are more pertinent to pixel processing computations. Computational resources and effort can be focused on pixels with higher weights, which are generally more pertinent for certain pixel processing determinations.

Abstract: Embodiments include methods and systems for context-adaptive pixel processing based, in part, on a respective weighting-value for each pixel or a group of pixels. The weighting-values provide an indication as to which pixels are more pertinent to pixel processing computations. Computational resources and effort can be focused on pixels with higher weights, which are generally more pertinent for certain pixel processing determinations.

Abstract: The example techniques of this disclosure are directed to generating a stereoscopic view from an application designed to generate a mono view. For example, the techniques may modify instructions for a vertex shader based on a viewing angle. When the modified vertex shader is executed, the modified vertex shader may generate coordinates for vertices for a stereoscopic view based on the viewing angle.

Abstract: Embodiments include methods and systems for context-adaptive pixel processing based, in part, on a respective weighting-value for each pixel or a group of pixels. The weighting-values provide an indication as to which pixels are more pertinent to pixel processing computations. Computational resources and effort can be focused on pixels with higher weights, which are generally more pertinent for certain pixel processing determinations.

Abstract: Embodiments include methods and systems which determine pixel displacement between frames based on a respective weighting-value for each pixel or a group of pixels. The weighting-values provide an indication as to which pixels are more pertinent to optical flow computations. Computational resources and effort can be focused on pixels with higher weights, which are generally more pertinent to optical flow determinations.

Abstract: Embodiments include methods and systems which determine pixel displacement between frames based on a respective weighting-value for each pixel or a group of pixels. The weighting-values provide an indication as to which pixels are more pertinent to optical flow computations. Computational resources and effort can be focused on pixels with higher weights, which are generally more pertinent to optical flow determinations.

Abstract: A mobile computing device comprising one or more sensors and an electronic display is disclosed herein. The one or more sensors are adapted to determine a distance between the mobile computing device and a mobile computing device user, and are also adapted to determine a position of the mobile computing device relative to the mobile computing device user. The electronic display is adapted to modify visual content on the electronic display relative to a change in at least one of, the distance between the mobile computing device and a mobile computing device user, and the position of the mobile computing device relative to the mobile computing device user.

Abstract: This disclosure describes techniques for modifying application program interface (API) calls in a manner that can cause a device to render native three dimensional (3D) graphics content in stereoscopic 3D. The techniques of this disclosure can be implemented in a manner where API calls themselves are modified, but the API itself and the GPU hardware are not modified. The techniques of the present disclosure include using the same viewing frustum defined by the original content to generate a left-eye image and a right-eye image and shifting the viewport offset of the left-eye image and the right-eye image.