Qualcomm

About: Qualcomm is a company organization based out in Farnborough, United Kingdom. It is known for research contribution in the topics: Wireless & Signal. The organization has 19408 authors who have published 38405 publications receiving 804693 citations. The organization is also known as: Qualcomm Incorporated & Qualcomm, Inc..

Antenna sharing for wirelessly powered devices

Abstract: Exemplary embodiments include an antenna for receiving electromagnetic radiation in a broadcast radiation band and a near-field radiation band to generate a Radio Frequency (RF) signal. A coupling element couples the RF signal to a first port and at least one additional port, which may be a second port and a third port. A wireless power receiver on the first port includes a rectifier for converting the RF signal to a DC signal when the antenna couples to radiation in the near-field radiation band in a coupling-mode region of the antenna. A near-field communication transceiver includes circuitry for communicating information on the antenna in the near-field radiation band when the coupling element couples the second port to the RF signal. A broadcast receiver on the third port includes circuitry for receiving and tuning the broadcast radiation band when the coupling element couples the third port to the RF signal.

Triggering event processing

Abstract: Systems, methods, and programs for processing extra data when a triggering event occurs. In one embodiment, an application, triggering event data, and extra data is stored on a wireless device. The wireless device monitors a triggering event parameter associated with an application, such as the expiration of the application. When the triggering event occurs, the wireless device processes the extra data in addition to processing associated with the triggering event data. The extra data may include URLs, scripts or other instructions that involve processing locally to the wireless device or requiring connection to a wireless network for remote processing on other devices.

Wireless power transmission scheduling

Abstract: Exemplary embodiments are directed to wireless power transmission scheduling. A method may include scheduling for transmission of wireless power to one or more chargeable devices of the plurality of chargeable devices positioned within a charging region of a wireless charger based on at least one attribute associated with at least one of the wireless charger and at least one chargeable device of the plurality of chargeable devices.

Discovering cloud-based services for iot devices in an iot network associated with a user

Abstract: The disclosure relates to discovering and offering cloud-based services for Internet of Things (IoT) devices in an IoT network. In particular, an IoT gateway or other suitable device can discover information (e.g., device classes) about the IoT devices in the IoT network, discover cloud-based services tagged with the discovered information about the IoT devices, and offer the discovered cloud-based services in the IoT network. Accordingly, in response to receiving a request to invoke a discovered cloud-based service from an IoT device and/or a user associated with the IoT network, the IoT gateway may connect to the appropriate IoT devices to fetch any required data associated with the requested cloud-based services, pass the fetched data to publishers or providers associated with the requested cloud-based services, and return a result from the invoked cloud-based services to the IoT devices in the IoT network.

Multi-mode region-of-interest video object segmentation

Abstract: The disclosure is directed to techniques for automatic segmentation of a region-of-interest (ROI) video object from a video sequence. ROI object segmentation enables selected ROI or “foreground” objects of a video sequence that may be of interest to a viewer to be extracted from non-ROI or “background” areas of the video sequence. Examples of a ROI object are a human face or a head and shoulder area of a human body. The disclosed techniques include a hybrid technique that combines ROI feature detection, region segmentation, and background subtraction. In this way, the disclosed techniques may provide accurate foreground object generation and low-complexity extraction of the foreground object from the video sequence. A ROI object segmentation system may implement the techniques described herein. In addition, ROI object segmentation may be useful in a wide range of multimedia applications that utilize video sequences, such as video telephony applications and video surveillance applications.