Abstract: A method of wireless security communication using a physical layer shared security key in an ambient internet-of-things (AIoT) network and related devices are proposed. In the method, a first node of the AIoT network performs generating a physical layer shared security key based on wireless channel reciprocity of communication between the first node and a second node of the AIoT network and additional information that is not derived from the wireless channel reciprocity; and exchanging a message using the physical layer shared security key with the second node. In this application, the shared security key generation can be achieved much faster, as compared to existing devices.

Abstract: A tuning circuit includes a first and second electrode disposed on a user, a processor for providing a first AC signal frequency to the electrodes, for measuring a first current from the electrodes, for providing a second AC signal frequency to the electrodes, for measuring a second current from the electrodes, for determining if the first current is greater than the second current, in response to the first current being greater than the second current, the processor is for providing the first AC signal frequency to the electrodes, for measuring a third current from the electrodes, and for determining a first electrodermal activity factor in response to the third current.

Abstract: According to one aspect of the present disclosure, a method of wireless communication is provided. The method may include receiving, from a uncrewed aerial system (UAS) service (USS) network, a UAS reauthentication/reauthorization request after a user equipment (UE) is registered with the USS network by first operations associated with a first USS uncrewed aerial vehicle (UAV) authentication and authorization (UUAA) procedure. The method may include identifying a network function (NF) element type associated with a UAS reauthentication/reauthorization procedure based on UE UUAA context information. The method may include sending a UE context management request that indicates the NF element type. The method may include receiving a UE context management response that includes an NF identification (ID) of a serving NF element. The method may include sending a UAS reauthentication/reauthorization notification instructing the serving NF to initiate a second UUAA procedure.

Abstract: A wireless communication method 100 are related devices are proposed. In the method, a first user equipment (UE) performs a first security procedure to establish a first secure communication with a UE-to-UE relay node for communication with a second UE, sends a direct communication request to the second UE via the UE-to-UE relay node, performs direct security operation to establish a second secure communication between the first UE and the second UE, and disables the first secure communication with the UE-to-UE relay node during or after the second secure communication with the second UE is established. Since only one security policy is applied, this enables the UEs and the UE-to-UE relay node to more efficiently manage the use of their resources.

Abstract: Systems and methods of rendering effects are described herein. A computing device can receive a user selection of an effect to be applied during gameplay of a computer game. The computing device can initiate a framework with which to apply the effect during the gameplay. The computing device can determine scenes during the gameplay to apply the effect through the framework. The computing device can determine graphical elements in the scenes that correspond to non-user interface elements through the framework. The computing system can apply the effect to the graphical elements through the framework.

Abstract: A computer system obtains an image of a scene captured by a camera and identifies a two-dimensional (2D) pose of the person in the image. The 2D pose includes a plurality of 2D joint positions in the image. The 2D pose is converted to a three-dimensional (3D) pose of the person including a plurality of 3D joint positions. The computer system determines a rotation angle of each joint relative to a T-pose of the person based on the plurality of 3D joint positions. The rotation angle of each joint is applied to a skeleton template of the avatar. The computer system renders the skeleton template of the avatar having the rotation angle for each joint.

Abstract: Techniques for pixel propagation and video inpainting are described. A video processing application selects, from a sequence of video frames, a reference video frame that includes replacement pixels corresponding to a mask of an undesired object. The video processing application aligns the reference video frame with the target video frame. The video processing application identifies, in the reference video frame, pixels corresponding to the mask. The video processing application uses the pixels from the reference video frame to replace pixels in the target video frame that correspond to the undesired object.

Abstract: The present invention is directed to image classification techniques. In a specific embodiment, the present invention provides an image classification system that receives a first query generated from a textual embedding and a first key and value generated from a visual embedding to facilitate the fusion of the semantics from a dual-modality information source. A second query generated from the visual embedding is employed to further refine the semantic understanding. There are other embodiments as well.

Abstract: A computer system obtains the image including one or more text areas, and generates a sequence of feature maps from the image based on a downsampling rate. Each feature map has a first dimension and a second dimension, and the feature maps include a first feature map and a second feature map. Each of the first and second dimensions of the first feature map has a respective size that is reduced to that of a respective dimension of the second feature map by the downsampling rate. The second feature map is upsampled by an upsampling rate using a local context-aware upsampling network. The upsampled second feature map is aggregated with the first feature map to generate an aggregated first feature map. The one or more text areas are identified in the image based on the aggregated first feature map.

Abstract: Novel tools and techniques are provided for implementing novel finger swipe-based smart watch user interface (“UI”) control or novel micro finger gesture-based UI control for wrist-wearable device. In various embodiments, a computing system may analyze biosensor data to identify micro-gestures of a user's finger, the biosensor data being received from biosensor(s) disposed on a wrist-wearable device when it is being worn by the user. In response to identifying a first micro-gesture of the user's finger in the biosensor data, the computing system may determine whether the first micro-gesture corresponds to one of a finger-swipe command or a finger-drag command for controlling a UI of the wrist-wearable device. If so, the computing system may cause the UI of the wrist-wearable device to perform one or more first functions in response to the one of the finger-swipe command or the finger-drag command.

Abstract: The present invention is directed to image classification techniques. In a specific embodiment, the present invention provides an image processing method. An input image is divided into a first plurality of patches and down-sampled to generate a first intermediate image. The first plurality of patches and the first intermediate image are used to generate a plurality of image tokens, which is used to train a deep learning model for image classification. A textual embedding extracted from a text input is used to guide the plurality of image tokens via an attention mechanism during the training process. There are other embodiments as well.

Abstract: Provided are a method, a system and an electronic device for implementing flexible graphics enhancement and execution. For example, a flexible graphics enhancement and execution component can be an integrated element of a graphics application programming interface (API) that allows a visual effect of style to be added to the 3D graphics rendered from a mobile game. The techniques can include intercepting an initial function call, where the initial function call is associated with a graphics API rendering an image for an application. Then, a custom function can be automatically generated, based on the intercepted initial function call. A pointer associated with the generated custom function can be returned to the application, where the custom function modifies an output from the graphics API to add a visual effect to a three-dimensional (3D) rendered image of the application. The graphics API can be an Open Graphics Library (OpenGL) API.

Abstract: A method for image fusion includes the following. One or more geometric characteristics of the NIR image and the RGB image are normalized. The normalized NIR image and the normalized RGB image are converted to a first NIR image and a first RGB image in a radiance domain, respectively. The first NIR image is decomposed to an NIR base portion and an NIR detail portion, and the first RGB image is decomposed to an RGB base portion and an RGB detail portion. The NIR base portion, RGB base portion, NIR detail portion and RGB detail portion are combined using a set of weights. A resulting weighted combination of these base and detail portions is converted from the radiance domain to a fused image in an image domain.

Abstract: A method for identifying human poses in an image, a computer system, and a non-transitory computer-readable medium are provided. The method includes obtaining the image, encoding the image into a feature map, converting the feature map into a plurality of TPDF maps corresponding to a plurality of predefined part types, and generating a global pose map based on the feature map and the plurality of TPDF maps corresponding to the predefined part types. Each TPDF map corresponds to a respective predefined part type and represents a plurality of vectors connecting each position on the image to a closest body part among the one or more body parts of the respective predefined part type. A global pose map is generated based on the feature map and the plurality of TPDF maps, identifying one or more human bodies having a plurality of body parts in a scene of the image.

Abstract: The voice call device includes a processor, and a memory having instructions stored thereon, which, when executed by the processor, cause the processor to perform operations as follows. After a voice call is initiated via a user equipment (UE) device over 5G NR, a status of an IMS registration (e.g., failed, in progress, etc.) for the UE is identified. For example, in response to determining that the status of IMS registration for the UE is in-progress, the voice call can be held, and a wait timer initiated. If the IMS registration completes prior to the wait timer expiring, the voice call is conducted over 5G NR or 4G Long-term Evolution (LTE).

Abstract: An apparatus for wireless communication of a UE is disclosed. The apparatus may initiate, at a new radio (NR) serving cell, a voice session with an IMS. The apparatus may perform, in response to determining that voice over NR (VoNR) is not supported by the first NR cell, an EPS fallback procedure to establish the voice session with the IMS. The apparatus may update a whitelist of NR cells that support VoNR to include the first NR cell when it is determined that the first NR cell supports VoNR.

Abstract: An electronic device obtains video content and a textual query associated with a video moment in the video content. The video content is divided video segments, and the textual query includes one or more words. Visual features are extracted for each video segment, and textual features are extracted for each word. The visual features and the textual features are combined to generate a similarity matrix in which each element represents a similarity level between a respective video segment and a respective word. Segment-attended sentence features are generated for the textual query based on the textual features and the similarity matrix. The segment-attended sentence features are combined with the visual features of the video segments to determine a plurality of alignment scores, which is used to retrieve a subset of the video content associated with the textual query to be retrieved from the video segments.

Abstract: An apparatus for wireless communication of a user equipment (UE) is disclosed. The apparatus may include a memory and at least one processor coupled to the memory. The at least one processor may be configured to receive a paging signal associated with an mobile terminating (MT) internet protocol (IP) multimedia subsystem (IMS) voice session. The at least one processor may be further configured to send a session initiation protocol (SIP) message in response to the paging signal. The at least one processor may be further configured to receive a second SIP message indicating SIP failure. The at least one processor may be further configured to determine whether the second SIP message indicates a network failure or a global failure. The at least one processor may be further configured to establish a connection with a different RAT network when the second SIP message indicates a network failure or a global failure.

Abstract: Provided are a method for detecting a highlight moment, an electronic device, and a non-transitory computer-readable medium. The electronic device captures a sequence of images of a field of view with a first frame rate, the sequence of images including at least an initiation of the highlight moment. In response to determining, based on at least a gray centroid of a region of interest (ROI) of one image of the sequence of images, that an object appears in the ROI of the sequence of images from the one image, the electronic device determines the one image as an initial image at which the highlight moment is initiated. The electronic device further stores multiple highlight images in association with the highlight moment in the memory of the electronic device. The stored highlight images correspond to the first frame rate.

Abstract: Novel tools and techniques are provided for implementing novel finger swipe-based smart watch user interface (“UI”) control or novel micro finger gesture-based UI control for wrist-wearable device. In various embodiments, a computing system may analyze biosensor data to identify micro-gestures of a user's finger, the biosensor data being received from biosensor(s) disposed on a wrist-wearable device when it is being worn by the user. In response to identifying a first micro-gesture of the user's finger in the biosensor data, the computing system may determine whether the first micro-gesture corresponds to one of a finger-swipe command or a finger-drag command for controlling a UI of the wrist-wearable device. If so, the computing system may cause the UI of the wrist-wearable device to perform one or more first functions in response to the one of the finger-swipe command or the finger-drag command.