Roughly described, a system for user identification of a desired document. A database identifies a catalog of documents in an embedding space, in which the distance between documents corresponds to a measure of their dissimilarity. The system presents an initial collection of the documents toward the user from an initial candidate space which is part of the embedding space, then in response to iterative user input, refines the candidate space and subsequent collections of documents presented toward the user. The initial collection is determined using a weighted cost-based iterative addition to the initial collection of documents from the initial candidate space, trading off between two sub-objectives of representativeness and diversity.

The disclosure is related to a system and a method for remote management of a virtual message for a moving object. The system has a database that stores data of multiple moving objects and image information of every moving object. The system has a server initiating a remote-management interface that allows the system user to perform remote management. The interface also allows the user to select one of the moving objects and configure a virtual message associated to the moving object. A set of search criteria with respect to the virtual message are defined. In the server, the data relating to every moving object, virtual message and the search criteria is established. The system facilitates the user to conduct remote management of managing multiple virtual messages and their associated moving objects at the same time.

This document describes systems and processes manufacturing and distributing stone slabs, such as including distributing a stone slab and a slab image file associated with the stone slab. The slab image file may include an image and associated information to facilitate one or more operations related to the stone slab.

Systems and methods for presenting an augmented reality within a custom graphic are provided. In example embodiments, one or more hardware processors may receive an image, identify candidate shape features in the image, identify a custom graphic by comparing the candidate shape features with a reference shape feature of the custom graphic, identify an optical barcode based on the identified custom graphic, identify an augmented reality based on the optical barcode, and transmit the augmented reality to the client device.

Populating a database with information includes associating a first interactive item card with the first item; associating the card with the first owner; associating information content with the card. The information content includes a first location, or first image of the first item, social media interaction related to the card at a first moment of time or information related to the first owner; changing association of the card from the first owner to a second owner if the ownership of the first item is transferred; adding to the information content additional information content that includes a second location or a second image of the first item, at least one social media interaction related to the card at a second moment of time or an information related to the second owner; and populating the database with the associations and the information content.

Populating a database with information includes associating a first interactive item card with the first item; associating the card with the first owner; associating information content with the card. The information content includes a first location, or first image of the first item, social media interaction related to the card at a first moment of time or information related to the first owner; changing association of the card from the first owner to a second owner if the ownership of the first item is transferred; adding to the information content additional information content that includes a second location or a second image of the first item, at least one social media interaction related to the card at a second moment of time or an information related to the second owner; and populating the database with the associations and the information content.

A wearable apparatus is provided for capturing and processing images from an environment of a user. In one implementation, a system for facilitating collaboration between individuals includes a transceiver and at least one processing device. The at least one processing device is programmed to obtain and analyze one or more images captured by an image sensor included in a wearable apparatus. The at least one processing device is further programmed to detect, by the analysis, a visual trigger in an environment of a wearer of the wearable apparatus. The visual trigger may be associated with a collaborative action to be taken. The at least one processing device may be further programmed to use the transceiver to transmit an indicator relating to the visual trigger associated with the collaborative action to be taken.

An automated system and method for retaining images in a smart phone are disclosed. The system may then determine a no-reference quality score of the image using a PIQUE module. The PIQUE module utilizes block level features of the image to determine the no-reference quality score. The system may present the image and the no-reference quality score to the user and accept a feedback towards quality of the image. The system may utilize a supervised learning model for continually learning a user's perception of quality of the image, the no-reference quality score determined by the PIQUE module, and the user feedback. Based on the learning, the supervised learning model may adapt the no-reference quality score and successively the image may either be retained or isolated for deletion, based on the adapted quality score and a predefined threshold range.

An automated system and method for retaining images in a smart phone are disclosed. The system may then determine a no-reference quality score of the image using a PIQUE module. The PIQUE module utilizes block level features of the image to determine the no-reference quality score. The system may present the image and the no-reference quality score to the user and accept a feedback towards quality of the image. The system may utilize a supervised learning model for continually learning a user's perception of quality of the image, the no-reference quality score determined by the PIQUE module, and the user feedback. Based on the learning, the supervised learning model may adapt the no-reference quality score and successively the image may either be retained or isolated for deletion, based on the adapted quality score and a predefined threshold range.

An electronic device is provided. The electronic device includes a camera, a display, a communication module, a memory, and a processor that is electrically connected to the camera, the display, the communication module, and the memory. The processor transmits an advertising signal including first identification (ID) information of the electronic device to a peripheral external device by using a first communication scheme, receives a response signal including second ID information of the external device by using the first communication scheme, and stores image data collected through the camera to the memory in connection with the second ID information when a first user input shooting an image is made.