G06F16/58

Personal history in track and trace system

Apparatuses and methods associated with personal history in a track and trace system are disclosed herein. In embodiments, a method includes acquiring first information corresponding to a physical object; identifying first authentication data based on the first information; storing the first authentication data in a database system; subsequent to storing the first authentication data, acquiring second information corresponding to a target physical object and identifying second authentication data based on the second information; identifying third information corresponding to the target physical object; querying the database system to seek a matching record based on the second authentication data; in the case that a matching record is returned responsive to the querying, updating the matching record with an indication that the second authentication data was matched to it and updating history data of said matching record based on said third information. Other embodiments may be disclosed or claimed.

Digital image presentation
11681745 · 2023-06-20 · ·

A computer implemented method to present digital images may include storing a digital image in a database and applying a digital image processing technique to the digital image to identify a region of interest of the digital image. The method may also include storing region data that identifies the region of interest of the digital image in the database and receiving a request for information associated with the digital image from a digital device. In response to the request, the method may include providing the digital image and the region data for transmission to the digital device, the digital device configured to adjust a cropping view of the digital image based on the region data to display the region of interest of the digital image.

Structured prediction crosswalk generation
11681746 · 2023-06-20 · ·

A method includes receiving image data associated with an image of a roadway including a crosswalk, generating a plurality of different characteristics of the image based on the image data, determining a position of the crosswalk on the roadway based on the plurality of different characteristics, the position including a first boundary and a second boundary of the crosswalk in the roadway, and providing map data associated with a map of the roadway, the map data including the position of the crosswalk on the roadway in the map. The plurality of different characteristics include a classification of one or more elements of the image, a segmentation of the one or more elements of the image, and one or more angles of the one or more elements of the image with respect to a line in the roadway.

Coordination of content presentation operations

Techniques for coordination of content presentation operations are described herein. In some cases, a client may generate client metadata associated with client event data. The client metadata may include, for example, an indication of any one or more of a time, a frame, a location, an angle, a direction, a speed, a force, or other information associated with the client event data. Also, in some cases, the content provider may generate content provider metadata associated with image data. For example, the content provider metadata may indicate a location of a virtual camera associated with the respective image data and/or a location of one or more objects represented within the respective image data.

System and method for annotating images

A method and system for electronically annotating an image, or preferably, specific portions of an image, with information. In one aspect, a user may generate an image, annotate the image, and upload or otherwise disseminate the annotated image to a web page or the like. Annotations are provided as labels that provide information about the image or items therein. Further users may access the labels to access the information. The labels further enable searching and contextual advertising.

Electronic media retrieval
11681737 · 2023-06-20 · ·

The present disclosure relates to a retrieval method including: generating a graph representing a set of users, items, and queries; generating clusters from the media items; generating embeddings for each cluster from embeddings of the items within the corresponding cluster; generating augmented query embeddings for each cluster from the embedding of the corresponding cluster and query embeddings of the queries; inputting the cluster embeddings and the augmented query embeddings to a layer of a graph convolutional network (GCN) to determine user embeddings of the users; inputting the embedding of the given user and a query embedding of the given query to a layer of the GCN to determine a user-specific query embedding; generating a score for each of the items based on the item embeddings and the user-specific query embedding; and presenting the items having the score exceeding a threshold.

Annotation control features for systems and platforms that support information analysis, editing, and storage in web browsers
11681861 · 2023-06-20 ·

The present disclosure relates to systems for creating, organizing, viewing, and connecting annotations of web documents within web browsers that are made to be annotation capable. The rationale for designing systems using the principles disclosed herein is explained in detail. This rationale is illustrated using sequence diagrams and use case diagrams to elucidate the need for the design principles and data structures employed. The disclosure also provides exemplary hardware specifications and describes design tradeoffs.

Training method for robust neural network based on feature matching

A training method for a robust neural network based on feature matching is provided in this disclosure, which includes following steps. Step A, a first stage model is initialized. The first stage model includes a backbone network, a feature matching module and a fullple loss function. Step B, the first stage model is trained by using original training data to obtain a second stage model. Step C, the second stage model is attacked so as to generate PGD adversarial samples of the original training data, and the second stage model is trained again with the generated adversarial samples and the original training data. Step D, training parameters are adjusted and the second stage model is trained again, and parameters for which the model has highest accuracy on an original test set are saved.

METHOD, DEVICE AND SYSTEM FOR PAIRING A FIRST DEVICE WITH A SECOND DEVICE

A method for pairing a first device with a second device is disclosed. A salient idea is to generate a discriminant and visually differentiable visual representation from a unique identifier of a device, to make it available for example together with the unique identifier on a printed package of the device, and to regenerate it for display as part of the pairing process. A user checking the displayed visual representation matches the printed visual representation of the package can successfully terminate a pairing process.

Type ahead search amelioration based on image processing

System and methods for type ahead search amelioration based on image processing are provided. In embodiments, a method includes: capturing, by a computing device, image data based on images viewed by a user during a computing session; converting, by the computing device, the image data to text using image processing; and storing, by the computing device, the text in a temporary buffer of a type ahead search function, wherein the text constitutes image context data for use by the type ahead search function.