A method implemented by an image recording unit having a normal state and an error state of operation. The method includes: receiving metadata specifying information about a patient and/or an endoscopic procedure; receiving images generated by an image sensor of an endoscope, the images corresponding to optical images received by the image sensor and comprising single images and/or a stream of images; controlling a display to show the images; in response to a first user input in the normal state, storing the images and the metadata in a memory of the image recording unit, and in the error state, overwriting with new data at least some of the metadata.

A method implemented by an image recording unit having a normal state and an error state of operation. The method includes: receiving metadata specifying information about a patient and/or an endoscopic procedure; receiving images generated by an image sensor of an endoscope, the images corresponding to optical images received by the image sensor and comprising single images and/or a stream of images; controlling a display to show the images; in response to a first user input in the normal state, storing the images and the metadata in a memory of the image recording unit, and in the error state, overwriting with new data at least some of the metadata.

Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

A method for detecting a defect includes: a measurement image including a wafer edge of a wafer to be detected is acquired; an image region to be detected is determined in the measurement image; feature extraction is performed on the image region to be detected to obtain a pixel distribution characteristic of the image region to be detected; and defect detection is performed on the wafer edge based on the pixel distribution characteristic of the image region to be detected.

Techniques for an ink experience with images are discussed herein. In various implementations, an image is displayed via an image management application for viewing and/or editing images. In conjunction with interaction scenarios provided via the application, an inking mode for adding inked annotations to the image is enabled. Input to apply one or more inked annotations to the image is obtained, such as via finger touches on a touchscreen, drawing with a stylus, camera-based gestures, or other natural input mechanisms. Responsive to obtaining the input, data blocks corresponding to the one or more inked annotations are appended to an image file as additional data blocks for the image.

In various example embodiments, a system and method for determining an item that has confirmed characteristics are described herein. An image that depicts an object is received from a client device. Structured data that corresponds to characteristics of one or more items are retrieved. A set of characteristics is determined, the set of characteristics being predicted to match with the object. An interface that includes a request for confirmation of the set of characteristics is generated. The interface is displayed on the client device. Confirmation that at least one characteristic from the set of characteristics matches with the object depicted in the image is received from the client device.

In various example embodiments, a system and method for determining an item that has confirmed characteristics are described herein. An image that depicts an object is received from a client device. Structured data that corresponds to characteristics of one or more items are retrieved. A set of characteristics is determined, the set of characteristics being predicted to match with the object. An interface that includes a request for confirmation of the set of characteristics is generated. The interface is displayed on the client device. Confirmation that at least one characteristic from the set of characteristics matches with the object depicted in the image is received from the client device.

The present invention provides an image processing apparatus (100) including an image acquisition unit (101) that acquires a query image, based on an input keyword, a skeleton structure detection unit (102) that detects a two-dimensional skeleton structure of a person included in the query image, a feature value computation unit (103) that computes a feature value of the detected two-dimensional skeleton structure, and a search unit (105) that searches, based on a degree of similarity of the computed feature value, for an analysis target image including a person in a state similar to a state of a person included in the query image from the analysis target image.

An electronic apparatus is provided. The electronic apparatus includes a camera, a storage, and a processor configured to store an image photographed by the camera and metadata of the image in the storage, the processor is further configured to identify whether first information related to the image is obtainable, based on the first information not being obtainable, generate metadata related to the first information based on second information, and store the generated metadata as metadata of the image.

A method and system for providing a data analysis in the form of a customized geographic visualization on a graphical user interface (GUI) on a remote client computing device using only a web browser on the remote client device. The system receives a user's selected data analysis to be performed by the system for display on the remote client device. The system verifies the data access permissions of the user to render a data analysis solution customized to that particular user, and automatically prevents that user from gaining access to data analysis solutions to which that user is prohibited. The system is configured to respond to the user's data analysis request, perform the necessary computations on the server side on the fly, and send a dataset interpretable by the client device's web browser for display on the client device or on a device associated with the client device.