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 device receives document information associated with a document, and receives a request to identify insights in the document information. The device performs, based on the request, natural language processing on the document information to identify words, phrases, and sentences in the document information, and utilizes a first machine learning model with the words, the phrases, and the sentences to identify information indicating abstract insights, concrete insights, and non-insights in the document. The device utilizes a second machine learning model to match the abstract insights with particular concrete insights that are different than the concrete insights, and utilizes a third machine learning model to determine particular insights based on the non-insights. The device generates an insight document that includes the concrete insights, the abstract insights matched with the particular concrete insights, and the particular insights determined based on the non-insights.

An object recognition ingestion system is presented. The object ingestion system captures image data of objects, possibly in an uncontrolled setting. The image data is analyzed to determine if one or more a priori know canonical shape objects match the object represented in the image data. The canonical shape object also includes one or more reference PoVs indicating perspectives from which to analyze objects having the corresponding shape. An object ingestion engine combines the canonical shape object along with the image data to create a model of the object. The engine generates a desirable set of model PoVs from the reference PoVs, and then generates recognition descriptors from each of the model PoVs. The descriptors, image data, model PoVs, or other contextually relevant information are combined into key frame bundles having sufficient information to allow other computing devices to recognize the object at a later time.

Examples of techniques for detecting and tracking virtual containers are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes detecting a virtual container. The method further includes collecting virtual container data for the virtual container. The method also includes associating, by a processing device, the virtual container to at least one of a plurality of images. Additionally, the method includes building, by the processing device, a container event database based on the virtual container data and the association of the virtual container to the at least one of the plurality of images, so as to enable tracking of software in the plurality of images and in live virtual containers.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing images for generating query responses. One of the methods includes determining, using a textual query, an image category for images responsive to the textual query, and an output type that identifies a type of requested content; selecting, using data that associates a plurality of images with a corresponding category, a subset of the images that each belong to the image category, each image in the plurality of images belonging to one of the two or more categories; analyzing, using the textual query, data for the images in the subset of the images to determine images responsive to the textual query; determining a response to the textual query using the images responsive to the textual query; and providing, using the output type, the response to the textual query for presentation.

The technology relates to selecting and displaying images captured at different points in time. As an example, a user of a computing device may view a first street level image as viewed from a particular location and oriented in a particular direction. The user may select other time periods for which similar images are available. Upon selecting a particular time period, a second street level image may be displayed concurrently with the first street level image, wherein the second street level image was captured on or around the selected time period. If the user changes the perspective of the first image an automatic change in perspective of the second image may occur.

The present invention can, in relation to a single image file including a plurality of original images, record an image file including editing information that represents original image editing content while maintaining the original images. For doing so, an image processing apparatus that performs editing processing in relation to an image file that includes a plurality of images, comprises an editing unit configured to edit an original image in an image file that includes a plurality of original images and generate editing information for reproducing a post-editing image from the original image, and a recording unit configured to, by adding the editing information generated by the editing unit to the image file, record the editing information in the image file.

Processing an image includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.

Systems and methods of the present invention provide for a server computer coupled to a network and configured to: receive an image; transmit the digital image to an API operated by at least one metadata generation service, and receive a metadata data set about the digital image, prioritize a plurality of keywords within the data set, generate a list of candidate domain names including a keyword, insert a second candidate domain name into the list comprising a keyword replacing or concatenated to the keyword and associated with a lower priority than the keyword; and transmit the list to a client computer for display.

A voice input may be received, and from the voice input, a topic may be identified. A sentiment score for the topic may be generated using sentiment analysis on the voice input, and the sentiment score may reflect an individual's reaction to the topic. The sentiment score may be compared to a sentiment threshold. In response, one or more images may be selected, based on the topic, from an image database. The one or more images may be validated, and then displayed.