Telefonaktiebolaget Lm Ericsson (publ)

Héctor Caltenco

Alexander Hunt

Paul McLachlan

Saeed Bastani

Yun Li

Fredrik Dahlgren

Ashkan Kalantari

Sara Thorsson

Gregoire Phillips

A method of a user device to track objects in an extended reality (XR) environment includes capturing an image of a physical environment associated with the XR environment, sending the image, a first timestamp for the image, and object information for at least one object in the image to a tracking service, receiving an object identifier, object tracking information, and a second timestamp for the at least one object from the tracking service, performing time and motion compensation on the object tracking information to correlate the object tracking information and object identifier with the at least one object in the image of the physical environment, and generating or updating an XR overlay for the at least one object using time and motion compensated object tracking information.

Extended reality overlay optimization via distributed computing

A method of an electronic device in an edge cloud of a mobile network supports extended reality localization of an object having a location in the real world where the location is stored as location information in a database in the mobile network. The method includes receiving a request from an application of a user equipment, the request for location information of an object, the request including an object identifier for the object, retrieving the location information from a database using the object identifier, returning the location information to the application at the user equipment, determining whether the retention requirements for the location information and the object identifier are met, and deleting the location information and the object identifier from the edge cloud and the database in response to determining the retention requirements are not met.

Private sharing of location data for extended reality rendering

An object detection arrangement having a controller configured to: a) receive a plurality of image data streams; b) perform feature extraction on each of the received a plurality of images providing a plurality of feature data streams; and to c) perform a common feature extraction based on the plurality of feature data streams providing as common feature data stream for object detection.

Computer software module arrangement, a circuitry arrangement, an arrangement and a method for improved object detection

An object detection device has a controller configured to receive classification data and regions for an image. The regions are prioritized and if a region is selected for further prediction, a photographic feature for the selected region is determined and a re-capture of the selected region is made based on the photographic feature by updating an image capturing device. The re-captured region is re-processed and classification data is re-generated. Then, final object detection for selected region(s) is performed and final object detection for not-selected region(s) is performed.

Object detection

According to some embodiments, a method performed by an end user electronic device comprises: triggering a digital content display opportunity; generating an opportunity identifier that uniquely identifies the digital content display opportunity within a digital content display opportunity bidding system; obtaining demographic information associated with a user of the end user electronic device; and transmitting the opportunity identifier and the demographic information to a network node in the digital content display opportunity bidding system.

Just-in-time user data with privacy

A method of detecting objects in a video includes, for each image in the video, determining a degree of correlation between the image and at least one preceding image in a sequence of images; and obtaining a first measure of energy consumption required for performing an object detection process on the image, obtaining a second measure of energy consumption required for performing an object tracking process for tracking at least one object from a previous image, and comparing the first and second measures of energy. The object detection process is performed on the image if either said degree of correlation is below a threshold level or said first measure of energy is lower than the second measure of energy, and otherwise the object tracking process is performed on the image.

A system comprising a first image processing arrangement and a second image processing arrangement, wherein the first image processing arrangement comprises a controller configured to: a) receive an image; b) select a task and a task identifier associated with task data; c) compress the image based on the task data; and d) transmit the compressed image to the second image processing arrangement for processing, and wherein the second image processing arrangement comprises a controller configured to: e) receive the compressed image and task identifier; f) retrieve task parameters associated with the task identifier; g) process the compressed image based on the task parameters; h) determine results and i) transmit the at least indications of the determined results to the first image processing arrangement, and the controller of the first image processing arrangement is further configured to: j) receive at least indications of a result of the processing from the second image processing arrangement; and k) indicate the result.

System, an arrangement, a computer software module arrangement, a circuitry arrangement and a method for improved image processing utilizing two entities

An image filtering arrangement comprising a controller configured to receive an image data file; propose zero or more regions of interest for the image data file; and to select adaptive filtering for at least one of the proposed zero or more regions of interest and apply the selected adaptive filtering to the at least one of the proposed zero or more regions of interest.

Method and apparatus for improved object detection

The present disclosure relates to techniques for collection and processing of data over a network, and in particular to in providing generalized analysis for preserving privacy of data sources. In some embodiments, a system receives a request for analytical data made by a requester, wherein the request includes: information for identifying one or more data source devices to be queried for input data, a type of data processing to be performed on the input data for generating the analytical data, and a data type for the analytical data. In response to receiving the request, the system causes the one or more data source devices to be queried for the input data. The system causes a response that includes the analytical data to be sent to the requester. Other embodiments are described throughout the present disclosure.

Techniques for private and secure collection and processing of data for generalized analysis

A contact lens system () for placing in an eye for augmented reality systems is disclosed. The contact lens system () comprises a display () comprising a matrix of display elements; a driver unit () configured to receive data from a host () and to present the data on the display () and a set of sensors () integrated on the display () for measuring pupil size. The driver unit () is further configured to read outputs from the set of sensors to determine the pupil size and adjust a size of an active area of the display.

Contact lens system

According to some embodiments, a method performed by an extended reality (XR) system comprises: identifying a space within an XR spatial mapping to which virtual content can be overlaid; determining an amount of static occlusion associated with the identified space; and transmitting an indication of the amount of static occlusion associated with the identified space to a virtual content supply side platform. According to some embodiments, a method performed by an XR system comprises: triggering a digital content display opportunity associated with a space within an XR spatial mapping to which virtual content can be overlaid; determining an amount of dynamic occlusion associated with the space; and transmitting an indication of the amount of dynamic occlusion associated with the identified space to a digital content display opportunity bidding system.

Occlusion of virtual content in extended reality

A method performed by an XR rending device () having an NCOD () for generating, for a first user, XR content for an XR environment with which the first user is interacting. The method includes obtaining first user preference information for the first user, the first user preference information comprising sensory permission information indicating, expressly or implicitly, one or more sensory stimulations to which the first user agrees to be exposed. The method also includes obtaining XR scene configuration information for use in generating XR content for the first user. The method also includes generating XR content for the first user based on the sensory permission information and the XR scene configuration information such that the generated XR content does not comprise XR content for producing any sensory stimulation to which the first user has not agreed to be exposed. The method further includes providing the generated XR content to an XR user device worn by the first user, wherein the XR user device comprises one or more sensory actuators for producing one or more sensory stimulations.

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OXIE, Sweden

Héctor Caltenco