Abstract: Implementations of the subject matter described herein provide a solution for rate control based on reinforcement learning. In this solution, an encoding state of a video encoder is determined, the encoding state being associated with encoding of a first video unit by the video encoder. An encoding parameter associated with rate control in the video encoder is determined by a reinforcement learning model and based on the encoding state of the video encoder. A second video unit different from the first video unit is encoded based on the encoding parameter. In this way, it is possible to achieve a better quality of experience (QOE) for real time communication with computation overhead being reduced.

Abstract: A mobile device comprises an AR display, an image capture device that generates image data of a face of a viewer of the AR display, and a processing device. The processing device receives the image data and sends the image data to a computing device. The computing device processes the image data to identify a position of a dental arch in the image data; determines a treatment outcome for the dental arch; generates a post-treatment image of the dental arch that shows the treatment outcome; generates updated image data comprising a superimposition of the post-treatment image of the dental arch over the received image data; and sends the updated image data to the mobile device. The mobile device outputs the updated image data to the AR display, wherein the post-treatment image of the dental arch is superimposed over the dental arch in the received image data such that the post-treatment image is visible in the AR display rather than a true depiction of the dental arch.

Abstract: Systems and method for determining a topic cohesion measurement between a content item and a hyperlinked landing page are presented. In one embodiment, a plurality of content item signals is generated for the content item and a corresponding plurality of signals are generated for the hyperlinked landing page. An analysis of the corresponding signals is conducted to determine a measurement of topic cohesion, a topic cohesion score, between the content item and the hyperlinked landing page. A cohesion predictor model is trained to generate the predictive topic cohesion score between an input content item and a hyperlinked landing page. Upon a determination that the topic cohesion score is less than a predetermined threshold, remedial actions are taken regarding the hyperlink of the content item. Alternatively, positive actions may be carried out, including promoting the content item to others, associating advertisements with the content item, and the like.

Abstract: Methods for visualizing treatment outcomes are provided. In some embodiments, a method includes obtaining a first 2D image of a patient's teeth from a mobile device, and obtaining an arch model representing an outcome for the patient's teeth after orthodontic treatment. The method can include matching the patient's teeth in the first 2D image to corresponding teeth in the arch model, using a parametric model. The method can also include determining a target position for the patient's teeth, based on a position of the matched corresponding teeth in the arch model. The method can further include generating a second 2D image depicting the patient's teeth in the target position.

Abstract: Various embodiments herein provide techniques for configuring and/or using a measurement gap (MG) for a positioning reference signal (PRS) measurement. For example. a user equipment (UE) may receive a configuration of a pre-configured measurement gap; identify that a measurement gap is needed for a positioning reference signal (PRS) measurement and that the CE has not previously notified a network of the PRS measurement prior to receipt of the configuration; and encode, based on the identification, a location measurement indication for transmission to a network entity to indicate that the PRS measurement is to be performed. Other embodiments may be described and claimed.

Abstract: An apparatus and system of establishing a Transmission Configuration Indication (TCI) state switch delay are described. The TCI state switch delay for a reference signal (RS) on a component carrier (CC) in intra-band carrier aggregation (CA) is dependent on whether a TCI state indicated in the DCI is known based on a type of Quasi Co-Location (QCL) and whether a common TCI state ID is known on the CC. The delay is known for a delay of QCL-typeD RS on the CC or any other QCL-typeD RS in the CC set that contains the CC. The delay may be based on that of a single CC delay, with the slot where the new TCI state applies determined based on a carrier with a smallest subcarrier spacing (SCS) in the CC or the CC set.

Abstract: Provided herein are orthodontic systems and methods for automatically segmenting a person's teeth. Systems, methods and processes are provided to properly segment the teeth of a person's teeth from an image of the person's face showing at least some of the person's teeth (e.g., dental arch). Methods and systems are provided to automatically detect dental edges after a dental scan. Also described herein are methods and systems for generating a simulated image of the person's face from the final segmentation of the person's teeth in which the segmented teeth have been moved from their original position, including a new position based on an orthodontic treatment plan.

Abstract: Sensor data fusion systems that provide noise reduction and fault protection. The sensor data fusion system fuses data acquired by respective accelerometers having different attributes. For example, one accelerometer has low noise and high bias, while another accelerometer has high noise and low bias when measuring specific force. The high-noise, low-bias accelerometer may be a gravimeter. Gravimeters and traditional accelerometers measure the same physical variable, i.e., specific force. By combining an expensive gravimeter and low-cost accelerometers, a synthetic sensor having both low noise and low bias may be achieved. Such synthetic sensors may be utilized in a gravity anomaly-referenced navigation system to achieve improved navigation performance.

Abstract: Aspects of the subject technology relate to providing frame rate arbitration for electronic devices. Frame rate arbitration can include determining a global frame rate based on frame rate parameters from one or more animation sources, and providing the global frame rate to the animation sources. The frame rate parameters for various animations sources can have differing preferred, minimum, and/or maximum frame rates, and the global frame rate may be determined for concurrent display of multiple animations from the multiple animation sources. In one or more implementations, frame rate arbitration can also be performed based on frame rate parameters from an input source.

Abstract: Various embodiments are disclosed for providing machine learning routines with peripheral device data to infer driver activity and location. Peripheral device data may be collected on a peripheral device having a machine learning routine executing thereon to infer driver activity and perform improved estimation of driver location. Using driver activity and location estimation, contextually relevant delivery workflow assistance may be automatically provided to a delivery driver or other individual without requiring manual input, thereby improving driver safety and operational efficiency.

Abstract: A method and system for provision of a notification based on location of a target device and heuristic information, the method maintaining, in a storage module, a location profile of a target mobile device based on heuristic information for the target mobile device; receiving the current location of the target mobile device; verifying whether the current location deviates from the location profile; and if the current location deviates from the location profile, triggering a notification to an observer device.

Abstract: A method and apparatus for generating and using location information is provided to a user of a mobile device. The method involves obtaining and processing a location history of the mobile device to determine locations of significance; automatically generating potential location identifiers associated with the locations of significance; and prompting, at a determined appropriate time, for user input for refining the set of one or more potential location identifiers into a customized location identifier.

Abstract: A computer-implemented method performed by a computing device having a processor operatively coupled to a memory, the method comprising storing a plurality of geofences in the memory along with addresses of servers associated with each of the geofences, receiving current location data from a mobile device, the current location data representing a current location of the mobile device, comparing the current location data with each of the plurality of geofences to determine whether data is to be obtained from one or more of the servers associated with each of the geofences, if the data is to be obtained, obtaining the data from the one or more servers, and transmitting the data to the mobile device.

Abstract: A method and system for provision of a notification based on location of a target device and heuristic information, the method maintaining, in a storage module, a location profile of a target mobile device based on heuristic information for the target mobile device; receiving the current location of the target mobile device; verifying whether the current location deviates from the location profile; and if the current location deviates from the location profile, triggering a notification to an observer device.

Abstract: A method and system for provision of a notification based on location of a target device and heuristic information, the method maintaining, in a storage module, a location profile of a target mobile device based on heuristic information for the target mobile device; receiving the current location of the target mobile device; verifying whether the current location deviates from the location profile; and if the current location deviates from the location profile, triggering a notification to an observer device.

Abstract: A computer-implemented method performed by a computing device having a processor operatively coupled to a memory, the method comprising storing a plurality of geofences in the memory along with addresses of servers associated with each of the geofences, receiving current location data from a mobile device, the current location data representing a current location of the mobile device, comparing the current location data with each of the plurality of geofences to determine whether data is to be obtained from one or more of the servers associated with each of the geofences, if the data is to be obtained, obtaining the data from the one or more servers, and transmitting the data to the mobile device.

Abstract: A mobile device is associated with a user profile which includes one or more user interests. The device sends a request for identifying social groups in a mobile geographic location. In response to the request, the device receives data identifying a plurality of social group profiles corresponding to a plurality of social groups in the mobile geographic location. The mobile device presents a list of the social groups based on the received data, ranked in accordance with similarity scores. Each similarity score is produced based on both a proximity identified between the mobile and social group geographic locations, and similarities identified between the one or more user and group interests. In response to receiving a user input, the device may enter into the social group and present a chat session interface for a chat session for the selected social group.

Abstract: The A mobile device is associated with a user profile which includes one or more user interests. The device sends a request for identifying social groups in a mobile geographic location. In response to the request, the device receives data identifying a plurality of social group profiles corresponding to a plurality of social groups in the mobile geographic location. The mobile device presents a list of the social groups based on the received data, ranked in accordance with similarity scores. Each similarity score is produced based on both a proximity identified between the mobile and social group geographic locations, and similarities identified between the one or more user and group interests. In response to receiving a user input, the device may enter into the social group and present a chat session interface for a chat session for the selected social group.

Abstract: A method and system for provision of a notification based on location of a target device and heuristic information, the method maintaining, in a storage module, a location profile of a target mobile device based on heuristic information for the target mobile device; receiving the current location of the target mobile device; verifying whether the current location deviates from the location profile; and if the current location deviates from the location profile, triggering a notification to an observer device.

Abstract: A method and apparatus for generating and using location information is provided to a user of a mobile device. The method involves obtaining and processing a location history of the mobile device to determine locations of significance; automatically generating potential location identifiers associated with the locations of significance; and prompting, at a determined appropriate time, for user input for refining the set of one or more potential location identifiers into a customized location identifier.