Methods, systems, and apparatus for receiving a query image, receiving one or more entities that are associated with the query image, identifying, for one or more of the entities, one or more candidate search queries that are pre-associated with the one or more entities, generating a respective relevance score for each of the candidate search queries, selecting, as a representative search query for the query image, a particular candidate search query based at least on the generated respective relevance scores and providing the representative search query for output in response to receiving the query image.

Methods, systems, and media for displaying information related to displayed content upon detection of user attention are provided. In some implementations, a method for presenting information to a user is provided, the method comprising: detecting a presence of a user; retrieving content and associated content metadata; causing the content to be presented to the user in response to detecting the presence of the user; detecting a user action indicative of user attention to at least a portion of the content presented to the user; and in response to detecting the user action, causing information to be presented to the user, wherein the information presented to the user corresponds to the content metadata associated with the portion of the content.

This application relates to targeted search of backup data. A data storage system can provide a targeted search of backup data based on events associated with the backup data. Upon receiving a search query that identifies an event stored in an event database, the data storage system can determine an event location and an event time associated with the identified event by accessing the event database and output a search result including a portion of the backup data that is associated with the event location and the event time.

A method of retrieving an image file from a first database, where the image file includes a link to an associated report stored in a second database. The method includes: de-identifying the report; applying a search query to the second database; returning the report in response to the applied query; applying the link to the first database; and returning the image file in response to the applied link.

Methods, apparatus, systems, and computer-readable media are set forth for generating and/or utilizing image shortcuts that cause one or more corresponding computer actions to be performed in response to determining that one or more features are present in image(s) from a camera of a computing device of a user (e.g., present in a real-time image feed from the camera). An image shortcut can be generated in response to user interface input, such as a spoken command. For example, the user interface input can direct the automated assistant to perform one or more actions in response to object(s) having certain feature(s) being present in a field of view of the camera. Subsequently, when the user directs their camera at object(s) having such feature(s), the assistant application can cause the action(s) to be automatically performed. For example, the assistant application can cause data to be presented and/or can control a remote device in accordance with the image shortcut.

A diagram based visual procedure note writing, in one aspect, presents an image representing a structure on a user interface display. A plurality of objects is presented on the user interface display. Responsive to an object being placed onto the image of the structure, metadata associated with the object is updated based on region information associated with a position where the object is placed onto the image. The updated metadata is presented on the user interface display. A note is composed based on the updated metadata.

A computer executes a display procedure of displaying a list of character strings registered in advance in response to a predetermined operation for data forming a part of a web page; and a storage procedure of storing a character string selected by a user from the list into a storage device in association with the data, to thereby achieve more efficient labeling of data.

In an example method, a series of time-based clustering images is generated for a plurality of library fragments from a genome sample. Each time-based clustering image in the series is sequentially generated. To generate each time-based clustering image in the series: i) a respective sample is introduced to a flow cell, the respective sample including contiguity preserved library fragments of the plurality of library fragments, wherein the contiguity preserved library fragments are attached to a solid support or are attached to each other; ii) the contiguity preserved library fragments are released from the solid support or from each other; iii) the contiguity preserved library fragments are amplified to generate a plurality of respective template strands; iv) the respective template strands are stained; and v) the respective template strands are imaged.

In an example method, a series of time-based clustering images is generated for a plurality of library fragments from a genome sample. Each time-based clustering image in the series is sequentially generated. To generate each time-based clustering image in the series: i) a respective sample is introduced to a flow cell, the respective sample including contiguity preserved library fragments of the plurality of library fragments, wherein the contiguity preserved library fragments are attached to a solid support or are attached to each other; ii) the contiguity preserved library fragments are released from the solid support or from each other; iii) the contiguity preserved library fragments are amplified to generate a plurality of respective template strands; iv) the respective template strands are stained; and v) the respective template strands are imaged.

Identifying groupings of individual users of a mobile network. In particular, some embodiments are configured to obtain transaction data records from one or more mobile network provider(s). Groupings of users may be identified by capturing association patterns in the data by applying word embedding.