A system and method for providing image display, and more specifically, a system for providing a digital image for decorating a living or work space is disclosed.

A system and method for providing image display, and more specifically, a system for providing a digital image for decorating a living or work space is disclosed.

An image processing apparatus (10) according to the present disclosure includes: a skeleton detection unit (11) configured to detect two-dimensional skeleton structures of a plurality of persons based on an acquired two-dimensional image; a feature calculation unit (12) configured to calculate features of the plurality of two-dimensional skeleton structures that have been detected by the skeleton detection unit (11); and a recognition unit (13) configured to perform processing of recognizing states of the plurality of persons based on a degree of similarity among the plurality of features that have been calculated by the feature calculation unit (12).

An image processing apparatus (10) according to the present disclosure includes: a skeleton detection unit (11) configured to detect two-dimensional skeleton structures of a plurality of persons based on an acquired two-dimensional image; a feature calculation unit (12) configured to calculate features of the plurality of two-dimensional skeleton structures that have been detected by the skeleton detection unit (11); and a recognition unit (13) configured to perform processing of recognizing states of the plurality of persons based on a degree of similarity among the plurality of features that have been calculated by the feature calculation unit (12).

Techniques are described herein for providing smart suggestions for image zoom regions. A method includes: receiving a search query; performing a search using the search query to identify search results that include image search results including a plurality of images that are responsive to the search query; for a given image of the plurality of images included in the image search results, determining at least one zoom region in the given image; and providing the search results including the image search results, including providing the given image and an indication of the at least one zoom region in the given image.

A system for retrieving information from an instructional document, includes a processor configured to: receive a query from a user; compare the query with one or more text sections in the instructional document; obtain, from the one or more text sections, top x text sections relevant to the query using a pre-trained encoder; compare the query with one or more images in the instructional document; obtain, from the images, top y images relevant to the query; generate top y image-text sections based on the top y images; obtain top k sections from the top x text sections and the top y image-text sections; obtain one or more most relevant sections from the top k sections using a domain-specific pre-trained encoder and a sequential classification model; and generate an answer based on the one or more most relevant sections and device context information using the domain-specific pre-trained encoder.

A system for retrieving information from an instructional document, includes a processor configured to: receive a query from a user; compare the query with one or more text sections in the instructional document; obtain, from the one or more text sections, top x text sections relevant to the query using a pre-trained encoder; compare the query with one or more images in the instructional document; obtain, from the images, top y images relevant to the query; generate top y image-text sections based on the top y images; obtain top k sections from the top x text sections and the top y image-text sections; obtain one or more most relevant sections from the top k sections using a domain-specific pre-trained encoder and a sequential classification model; and generate an answer based on the one or more most relevant sections and device context information using the domain-specific pre-trained encoder.

Disclosed are various embodiments for generating a search results interface for sharing user content for subsequent media searches of a physical object. In one example, a system comprises machine readable instructions stored in the a memory of a client device. The instructions cause the client device to at least transmit to a computing device a request for an image search of an object. The request comprises an image of the object. An image result is received from the computing device in response to the request for the image search. The instructions cause the client device to display an image search results interface. The image search results interface includes an image result from the image search and an upload user interface component. The upload user interface component is configured to display an input interface for uploading user content associated with the object in the image result.

Disclosed are various embodiments for generating a search results interface for sharing user content for subsequent media searches of a physical object. In one example, a system comprises machine readable instructions stored in the a memory of a client device. The instructions cause the client device to at least transmit to a computing device a request for an image search of an object. The request comprises an image of the object. An image result is received from the computing device in response to the request for the image search. The instructions cause the client device to display an image search results interface. The image search results interface includes an image result from the image search and an upload user interface component. The upload user interface component is configured to display an input interface for uploading user content associated with the object in the image result.

A system for monitoring surgical objects is provided. An entry scanner captures a first set of image data from a surgical object identifier. A containment surface defines a target field of view. An exit scanner captures a second set of image data from a surgical object identifier within the target field of view. A monitoring system is electrically connected to at least one of the entry and exit scanners. The monitoring system has a surgical object recognition module having a database of pre-existing surgical object identifier data. The surgical recognition module identifies at least one of the number of surgical objects, the type of surgical objects, and the number of each type of surgical objects from the first and second sets of image data by comparing the first and second sets of image data with the pre-existing surgical object identifier data.