Implementations described herein relate to methods, devices, and computer-readable media to generate and provide image-based creations. A computer-implemented method includes obtaining a plurality of episodes, each episode associated with a corresponding time period and including a respective set of images and person identifiers for each image. The method further includes forming a respective cluster for each episode that includes at least two person identifiers. The method further includes determining whether one or more person identifiers are included in less than a threshold number of clusters, and in response, removing the one or more person identifiers from the clusters that the one or more person identifiers that are included in. The method further includes merging identical clusters to obtain a plurality of people groups that each include two or more person identifiers and providing a user interface that includes an image-based creation based on a particular people group.

The technology disclosed processes input data through a neural network and produces an alternative representation of the input data. The input data includes per-cycle image data for each of one or more sequencing cycles of a sequencing run. The per-cycle image data depicts intensity emissions of one or more analytes and their surrounding background captured at a respective sequencing cycle. The technology disclosed processes the alternative representation through an output layer and producing an output and base calls one or more of the analytes at one or more of the sequencing cycles based on the output.

An image processing method, an electronic device and a readable storage medium, which relate to the technical field of computer vision, are disclosed. In an embodiment, a face recognition module and a service processing module maintains respectively an image buffer queue; the face recognition module maintains a face image buffer queue of face images, and the service processing module maintains a background image buffer queue of background images, i.e., first images; since the face recognition module only maintains the face image buffer queue, only a determined optimal face image, i.e., a face image to be matched, is transmitted to the service processing module, and then, the service processing module determines a background image matched with the optimal face image transmitted by the face recognition module from the maintained background image buffer queue, thus performing image recognition and image matching on a face appearing in a video source.

An annotation method and device and a storage medium are provided. The annotation method includes operations as follows. A first probability value that a first sample image is annotated with an Nth tag when the first sample image is annotated with an Mth tag is determined based on first tag information of a first image set. M and N are unequal and are positive integers. The first probability value is added to second tag information of a second sample image annotated with the Mth tag in a second image set.

An airline baggage management system includes a boarding reception device; a loading reception device; and a server. The boarding reception device outputs a baggage tag with an RF tag in which tag information is recorded, the tag information including at least one of a user ID, a boarding pass ID, and a baggage ID. The loading reception device includes: a loading reader unit that performs wireless communication with the RF tag of the baggage tag attached to the baggage has arrived at the loading position to read the tag recorded in the RF tag; an information generating unit generates loading position-related information, which is related to a position in the scheduled boarding plane at which the baggage whose tag information has been read by the loading reader unit is to be loaded; and a loading transmission unit transmits the tag information and the loading position-related information to the server.

In an image processing device, an image processing method, a program, and a recording medium, a searching condition is a condition for searching for an image from an image group according to a condition other than an imaging timing, an image designating unit designates, as a designation search image, one search image selected from search images displayed on a display unit according to a command from the user, and an image display unit displays, as time-series images, the designation search image and at least a part of images which are included in the image group and captured earlier and later than an imaging timing of the designation search image in a sequence of time on the display unit according to a command from the user after only the designation search image is displayed on the display unit in a case where the designation search image is designated.

A computing system that can receive an object search request from a user indicating a request to search for a specific object in an area traversed by one or more autonomous vehicle. The object search request can include a set of physical characteristics of the specific object. The computing system can then transmit a signal to an autonomous vehicle indicating a request for the autonomous vehicle to search for the specific object. The signal can cause the autonomous vehicle to transmit an image, selected based on a physical characteristic of the object, to the computing system. The computing system can then generate a score indicative of a difference between one or more physical characteristic of the object in the image and the specific object. The computing system can then selectively transmit the image to a mobile device operated by the user based on the score.

Embodiments of the present disclosure provide an image recognition method and apparatus, an electronic device and a medium, and relates to the field of image processing. The method may include: acquiring a to-be-recognized image sent by a client, and determining whether the to-be-recognized image is a back image; determining characteristic information of the to-be-recognized image in at least one dimension, when it is determined that the to-be-recognized image is the back image; and determining a target front side image matching the to-be-recognized image according to the characteristic information, and returning the target front side image to the client to cause the client to display the target front side image.

The disclosed techniques include at least one computer-implemented method performed by a system. The system can receive a textual query and process query features of the textual query to identify a color profile indicative of a color intent of the query. The system can identify candidate images that at least partially match the desired content and color intent of the query. The system can further order candidate images based in part on a similarity of a candidate color profile for each candidate image with the identified color profile of the query, and output image data indicative of the ordered set of candidate images.

In one example embodiment, an information processing apparatus causes a display device to display a first image from images associated with an observation target object. The images include the first image and a second image which corresponds to an annotation mark. In this embodiment, the information processing apparatus also causes the display device to display the annotation mark corresponding to the second image. In this embodiment, the displayed annotation mark overlaps the first image.