G06F16/58

Training Data Generation for Artificial Intelligence-Based Sequencing

The technology disclosed relates to generating ground truth training data to train a neural network-based template generator for cluster metadata determination task. In particular, it relates to accessing sequencing images, obtaining, from a base caller, a base call classifying each subpixel in the sequencing images as one of four bases (A, C, T, and G), generating a cluster map that identifies clusters as disjointed regions of contiguous subpixels which share a substantially matching base call sequence, determining cluster metadata based on the disjointed regions in the cluster map, and using the cluster metadata to generate the ground truth training data for training the neural network-based template generator for the cluster metadata determination task.

METHOD AND DEVICE FOR RETRIEVING IMAGE (As Amended)

A method for retrieving an image is provided. The method comprises: acquiring a first matrix obtained by performing feature extraction on a sketch of a target item; acquiring a second matrix composed of word vectors of keywords in a keyword set corresponding to the target item; acquiring a third matrix set obtained by performing feature extractions on images in an image set respectively; determining, for a third matrix in the third matrix set, a comprehensive matching degree between an item presented in an image corresponding to the third matrix and the target item, based on a first matching degree between the first matrix and the third matrix and a second matching degree between the second matrix and the third matrix; and selecting a preset number of images from the image set based on the determined comprehensive matching degrees, and sending the selected images.

ELECTRONIC APPARATUS, IMAGE CAPTURE APPARATUS, METHOD FOR CONTROLLING THE SAME, AND STORAGE MEDIUM
20220303462 · 2022-09-22 ·

An electronic apparatus connected to an image capture apparatus receives an image capture instruction for requesting the image capture apparatus to perform image capture processing, in response to a user operation. If the image capture instruction is received, the electronic apparatus performs control to display a first image recorded by the image capture apparatus performing the image capture processing according to a capture request based on the image capture instruction from the electronic apparatus on a screen without a second image recorded by the image capture apparatus automatically performing the image capture processing according to satisfying a predetermined condition for automatic capturing. If the image capture instruction is not received, the electronic apparatus performs control to display both the first image and the second image on the screen.

INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM

To provide an environment suitable for editing metadata. For this purpose, an information processing device includes a user interface control unit that performs user interface processing of enabling editing of text information as metadata to be added to an image file by using multiple pieces of glossary data that are an aggregate of term data in which character information and abbreviated input information form a set.

Electronic device processing user utterance and control method thereof

A user terminal processing a user utterance and a control method thereof are provided. A user terminal according to various embodiments of the disclosure includes a processor configured as a portion of the user terminal or configured to remotely communicate with the user terminal; and a memory configured to operatively connect to the processor, wherein the memory may be configured to store instructions configured, when executed, to enable the processor to, receive a user utterance, the user utterance including a first expression for classifying a plurality of images, transmit information about the received user utterance to an external electronic device using a communication circuit, and perform a task according to operation information by receiving the operation information associated with the user utterance, and the operation information may include an operation of providing the first expression and the second expression indicating attribute information about images classified by the first expression.

Image search apparatus, image search method, non-transitory recording medium
11436273 · 2022-09-06 · ·

An image search apparatus includes a search processing unit, a first display processing unit, and a second display processing unit. The search processing unit extracts one or more images that meet a search condition, from a plurality of images associated with user accounts. The first display processing unit displays, as a result of search, the one or more images extracted by the search processing unit. The second display processing unit displays a predetermined specific page when, among the one or more images displayed as the result of search, a personally photographed image is operated, the personally photographed image being an image associated with a first-type user account and photographed at a facility corresponding to a second-type user account that is different from the first-type user account, the specific page corresponding to the second-type user account.

IMAGE RECOMMENDATION FOR CONTENT PUBLISHING

A system to output a recommended image for publication is provided. The system includes an image datastore to maintain images tagged with content tags and a content submission datastore to maintain a content submission. The system further includes a network interface to monitor a media feed containing trending metadata tags. The system further includes a controller to match a particular trending metadata tag to a particular image in the image datastore based on an opportunity score. The opportunity score based on at least similarity of a content tag of the particular image to the particular trending metadata tag, and an indication of popularity of the particular trending metadata tag. The controller is further to output the particular image as a recommended image to be used for publication with the content submission.

IMAGE RECOMMENDATION FOR CONTENT PUBLISHING

A system to output a recommended image for publication is provided. The system includes an image datastore to maintain images tagged with content tags and a content submission datastore to maintain a content submission. The system further includes a network interface to monitor a media feed containing trending metadata tags. The system further includes a controller to match a particular trending metadata tag to a particular image in the image datastore based on an opportunity score. The opportunity score based on at least similarity of a content tag of the particular image to the particular trending metadata tag, and an indication of popularity of the particular trending metadata tag. The controller is further to output the particular image as a recommended image to be used for publication with the content submission.

Artificial intelligence-based sequencing

The technology disclosed processes a first input through a first neural network and produces a first output. The first input comprises first image data derived from images of analytes and their surrounding background captured by a sequencing system for a sequencing run. The technology disclosed processes the first output through a post-processor and produces metadata about the analytes and their surrounding background. The technology disclosed processes a second input through a second neural network and produces a second output. The second input comprises third image data derived by modifying second image data based on the metadata. The second image data is derived from the images of the analytes and their surrounding background. The second output identifies base calls for one or more of the analytes at one or more sequencing cycles of the sequencing run.

DIAGNOSIS SUPPORT DEVICE, DIAGNOSIS SUPPORT METHOD, AND DIAGNOSIS SUPPORT PROGRAM
20220277837 · 2022-09-01 · ·

A diagnosis support device receives an input retrieval word, retrieves, from a plurality of medical images, each including a lesion region and associated with a key finding that is a key to specify a diagnosis name of the lesion region, a medical image associated with a key finding corresponding to the retrieval word, classifies a retrieved medical image group according to a degree of similarity of images, and detects a lesion candidate region in an examination image on the basis of the degree of similarity between the examination image and a classification result.