Abstract:
A method is described for operating on a frame of a video to generate a feature map of a neural network. The method determines if a block of the frame is an inter block or an intra block, and performs an inter block process in the event that the block is an inter block and/or an intra block process in the event that the block is an intra block. The inter block process determines a measure of differences between the block of the frame and a reference block of a reference frame of the video, and performs either a first process or a second process based on the measure to generate a segment of the feature map. The intra block process determines a measure of flatness of the block of the frame, and performs either a third process or a fourth process based on the measure to generate a segment of the feature map.
Abstract:
A user-mountable extended reality (XR) device capable of receiving and storing at least one of a plurality of user vision capability profiles. The user-mountable XR device comprises a data processing system configured to process input data representative of an input image to perform a modification of the input image based on performing a selection of a given profile of the at least one of the plurality of user vision capability profiles, thereby generating output data representative of an output image for display by the user-mountable XR device. Also described is a method of controlling such a device.
Abstract:
A method of processing sensor-originated data using a computing device. The sensor-originated data is representative of one or more physical quantities measured by one or more sensors. The method comprises selecting between a plurality of neural networks, including a first neural network and a second neural network, on the basis of at least one current operative condition of the computing device. Each of the first and second neural networks is configured to generate output data of the same type. The first neural network is configured to receive a first set of input data types and the second neural network is configured to receive a second set of input data types, the second set including at least one data type not included in the first set. The method comprises processing the sensor-originated data using at least the selected neural network.
Abstract:
A neural network system executable on a processor. The neural network system, when executed on the processor, comprises a merged layer shareable between a first neural network and a second neural network. The merged layer is configured to receive input data from a prior layer of at least one of the first and second neural networks. The merged layer is configured to apply a superset of weights to the input data to generate intermediate feature data representative of at least one feature of the input data, the superset of weights being combined from a first set of weights associated with the first neural network and a second set of weights associated with the second neural network. The merged layer is also configured to output the intermediate feature data to at least one subsequent layer, the at least one subsequent layer serving the first and second neural networks.
Abstract:
Examples of the present disclosure relate to methods for controlling a display device. In one such example, data representing a result of an eyewear detection operation is obtained. Dependent on the obtained data, a control signal is outputted to adjust a display parameter of the display device. Performing the eyewear detection operation comprises receiving image data representing a user of the display device, and processing the image data using object recognition to determine whether or not the user is wearing eyewear of a predetermined type.
Abstract:
A method of processing input data using a computing system. The method comprises obtaining association data which relates a kernel in a convolutional neural network to one or more known data patterns; conducting analysis of input data for the convolutional neural network to identify whether a region of input data corresponds to at least one of the one or more known data patterns; and determining whether to process the region of input data with the kernel in the convolutional neural network based on the analysis and the association data.
Abstract:
Examples of the present disclosure relate to methods for performing object detection. In one such example, data representing an image is received. The image comprises at least one target region and a further region. The at least one target region is identifiable using data indicative of a gaze direction of a viewer of the image. A first portion of the data is processed using a first processing scheme to perform object detection in the at least one target region of the image. The first portion of the data represents the at least one target region of the image. A second portion of the data is processed using a second, different, processing scheme. The second portion of the data represents the further region of the image.
Abstract:
A method of data processing for an object identification system comprising a neural network. The method comprises, in a secure environment, obtaining first sensed data representative of a physical quantity measured by a sensor. The first sensed data is processed, using the neural network in the secure environment, to identify an object in the first sensed data. The method includes determining that the identified object belongs to a predetermined class of objects. In response to the determining, a first portion of the first sensed data is classified as data to be secured, and a second portion of the first sensed data is classified as data which is not to be secured. The second sensed data, derived from at least the second portion, is outputted as non-secure data.
Abstract:
A display controller provides an output frame to a display for display by sending respective output surface regions that together form the output frame, each respective region of the output surface being generated from a respective region or regions of one or more input surfaces, to the display. When a new version of an output surface region is generated, the display controller determines whether the output surface region has been unchanged for a period, and if it has, then stores the generated output surface region in a frame buffer. Then, for the subsequent frame, checks are performed to see if the output surface region could have changed. If there is no change the stored version of the output surface region is reused, but if there is a change in the output surface region, the output surface region is regenerated.
Abstract:
A data processing apparatus has control circuitry for detecting whether a current micro-operation to be processed by processing circuitry is for the same data processing operation and specifies the same at least one operand as the last valid micro-operation processed by the processing circuitry. If so, then the control circuitry prevents the processing circuitry processing the current micro-operation so that an output register is not updated in response to the current micro-operation, and outputs the current value stored in the output register as the result of the current micro-operation. This allows power consumption to be reduced or performance to be improved by not repeating the same computation.