A device, system, and method performs an image compression. The method includes receiving raw image data of an image and identifying objects in the image as one of a foreground object or a background object. The method includes generating first foreground image data for a first foreground object. The method includes generating first metadata for a first background object. The first metadata indicates a first identity and a first descriptive parameter for the first background object. The first descriptive parameter relates to how the first background object is situated in the image. The method includes generating first background image data for the first background object. The first background image data is empty data. The method includes storing processed image data for the image comprising the first foreground image data, the first metadata, and the first background image data.

A computing system receives, from a client device, image data describing an image captured by an optical sensor of the client device. The computing system compares the image to a set of reference images that include associated metadata describing a real-world feature depicted by the respective reference image. The computing system determines, based on the comparison, a subset of reference images that are similar to the image, and then determines, based on associated metadata of the subset of reference images, that the image captured by the optical sensor of the client device depicts a first real-world feature. The computing system selects a subset of media overlays related to the first real-world feature based on metadata associated with each media overlay that describes the respective media overlay. The computing system transmits the subset of media overlays to the client device.

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.

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.

Various embodiments of a system, methods, server, client, and graphical user interface for creating micro channel or keyword(s) and associating settings in response to receiving request to create micro channel or keyword(s) with associated settings, wherein associated settings comprises allow one or more contacts, invited users or invitation accepted users, followers, any or all or part of users of network to communicate live audio streaming under said created micro channel or keyword(s) or access communicated live audio streaming under said created micro channel or keyword(s), receiving request from micro channel or keyword(s) related users including creator of micro channel or keyword(s) and associated allowed users to communicate live audio streaming under selected micro channel or keyword(s) and communicating live audio streaming to micro channel or keyword(s) for enabling micro channel or keyword(s) related users to access related live audio streaming.

Improved systems and devices for medical imaging distribution are provided. A medical imaging order may be received from a medical facility that includes medical imaging. A configuration may be selected and applied based on a body site and an urgency field associated with the order that defines queueing rules for the medical imaging order. Utilization factors for queues associated with radiologists may also be determined. The configuration and the utilization factors may be used to determine a subset of queues associated with a subset of radiologists. The subset of queues may be prioritized based on certain requirements, such as how many medical imaging reports a particular radiologist is required to review, how many medical imaging reports are required to be allocated to a particular radiologist, and the like. The highest prioritized queue may be selected and the medical imaging order may be transmitted to the radiologist associated with that queue.

A method, computer system, and a computer program product for product safety is provided. The present invention may include mapping one or more products within a smart container by identifying each of the one or more products and determining a location for each of the one or more products. The present invention may include determining a safety level for each of the one or more products. The present invention may include determining a recommended location to store a new product within the smart container based on a safety confidence score, wherein the safety confidence score is determined based on at least the safety score of the one or more products within the smart container, the safety score of the new product, and a machine learning model. The present invention may include displaying the recommended location to a user.

Systems, methods, and computer program products for extracting data from images related to travel accommodation, and performing a search of travel accommodation based on criteria entered by a user. The system collects images related to travel accommodation by querying data sources including images associated with the travel accommodation, processes the images so as to extract an identifying characteristic of the travel accommodation, and represents the identifying characteristic in the form of searchable text keywords and stores the searchable text keywords in the database. The system may receive a user request including travel accommodation-specific criteria via a user interface, search the database for searchable text keywords matching the criteria in the request, and cause the display of travel accommodations represented by the searchable text keywords on the user interface.

Computer-implemented methods, computer-readable storage media, and computer systems for associating received medical imaging data with stored medical imaging data. Medical imaging data associated with a patient is received from a client device. The medical imaging data includes an image object, one or more data objects related to the image object, and metadata associated with the patient encoded in Digital Imaging and Communication in Medicine (DICOM) format. The metadata includes personal information about the patient, and time and location at which the DICOM image file was captured. The received metadata is compared with existing metadata associated with multiple existing patients to identify a subset of the existing patients who may be a potential match to the patient. Selection of an existing patient from among the subset is requested. When received, the medical imaging data is associated with the existing patient.

Computer-implemented methods, computer-readable storage media, and computer systems for associating received medical imaging data with stored medical imaging data. Medical imaging data associated with a patient is received from a client device. The medical imaging data includes an image object, one or more data objects related to the image object, and metadata associated with the patient encoded in Digital Imaging and Communication in Medicine (DICOM) format. The metadata includes personal information about the patient, and time and location at which the DICOM image file was captured. The received metadata is compared with existing metadata associated with multiple existing patients to identify a subset of the existing patients who may be a potential match to the patient. Selection of an existing patient from among the subset is requested. When received, the medical imaging data is associated with the existing patient.