Abstract:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device may predict user behavior in an extended reality (XR) application on a user equipment (UE) based at least in part on current content presented by the XR application. The wireless communication device may predict channel information for a communication link of the UE based at least in part on the predicted user behavior. The wireless communication device may adjust one or more parameters of the communication link based at least in part on the predicted channel information. Numerous other aspects are described.
Abstract:
A method, an apparatus, and a computer-readable medium for wireless communication are provided. In one aspect, an example method may include determining to control a bit rate of a content encoder. The method may include generating a first number of shaded texture atlases for use in rendering a second number of frames by a second device based on the determination to control the bit rate of the content encoder. Each respective shaded texture atlas may include a respective plurality of shaded primitives. The method may include encoding, by the content encoder of the first device, a first shaded texture atlas of the first number of shaded texture atlases. The method may include transmitting, by the first device, the encoded first shaded texture atlas to the second device.
Abstract:
A method of dynamically updating a feature database that contains features corresponding to a known target object includes providing an image, extracting a first set of features from within the captured image, and comparing the first set of features to the features stored in the feature database. If it is determined that the target object is present in the image then at least one of the extracted features of the first set that are not already included in the feature database are added to the feature database.
Abstract:
Systems, methods, and devices are described for capturing compact representations of three-dimensional objects suitable for offline object detection, and storing the compact representations as object representation in a database. One embodiment may include capturing frames of a scene, identifying points of interest from different key frames of the scene, using the points of interest to create associated three-dimensional key points, and storing key points associated with the object as an object representation in an object detection database.
Abstract:
A difference in intensities of a pair of pixels in an image is repeatedly compared to a threshold, with the pair of pixels being separated by at least one pixel (“skipped pixel”). When the threshold is found to be exceeded, a selected position of a selected pixel in the pair, and at least one additional position adjacent to the selected position are added to a set of positions. The comparing and adding are performed multiple times to generate multiple such sets, each set identifying a region in the image, e.g. an MSER. Sets of positions, identifying regions whose attributes satisfy a test, are merged to obtain a merged set. Intensities of pixels identified in the merged set are used to generate binary values for the region, followed by classification of the region as text/non-text. Regions classified as text are supplied to an optical character recognition (OCR) system.
Abstract:
The present disclosure relates to methods and apparatus for computer processing. Aspects of the present disclosure can determine at least one of a quality, latency, or capacity of a communication link for communication between a client device and a server. Aspects of the present disclosure can also determine a computational load for an application computation between the client device and the server. Moreover, aspects of the present disclosure can adjust a computational distribution for the application computation between the client device and the server based on at least one of the computational load for the application computation or the at least one of the quality, latency, or capacity of the communication link. Aspects of the present disclosure can also determine a computational capacity of at least one of the client device or the server.
Abstract:
The present disclosure relates to methods and apparatus for computer processing. Aspects of the present disclosure can determine at least one of a quality, latency, or capacity of a communication link for communication between a client device and a server. Aspects of the present disclosure can also determine a computational load for an application computation between the client device and the server. Moreover, aspects of the present disclosure can adjust a computational distribution for the application computation between the client device and the server based on at least one of the computational load for the application computation or the at least one of the quality, latency, or capacity of the communication link. Aspects of the present disclosure can also determine a computational capacity of at least one of the client device or the server.
Abstract:
An improved wireless split rendering system for displaying Extended Reality (XR) content is discussed. A rendering server and client head-mounted device (HMD) may communicate over a wireless medium, where communication control is given to a server application layer logic. This allows the server to use request pose information from the HMD only when needed for rendering, while preserving bandwidth on the wireless medium for transmitting frames of the rendered content. This reduces contention and improves channel efficiency.
Abstract:
Systems, methods, and devices are described for capturing compact representations of three-dimensional objects suitable for offline object detection, and storing the compact representations as object representation in a database. One embodiment may include capturing frames of a scene, identifying points of interest from different key frames of the scene, using the points of interest to create associated three-dimensional key points, and storing key points associated with the object as an object representation in an object detection database.
Abstract:
A method of dynamically updating a feature database that contains features corresponding to a known target object includes providing an image, extracting a first set of features from within the captured image, and comparing the first set of features to the features stored in the feature database. If it is determined that the target object is present in the image then at least one of the extracted features of the first set that are not already included in the feature database are added to the feature database.