A computer implemented method is for providing user devices with alternative content. The method includes: defining a plurality of search parameters; crawling the world wide web or selected parts thereof, or searching predefined web sites, to identify content matching one or more of said search parameters; generating image triggers by extracting the identified content or generating digital fingerprints indicative of the identified content; storing the image triggers in a database, together with respective alternative content or alternative content identifiers; receiving an image captured from a printed or displayed medium at an end user device; searching the captured image to identify a presence of at least one of the image triggers in the captured image; and causing alternative content corresponding to the at least one of the image triggers to be displayed or presented at the end user device, or a respective other device associated with the end user device.

Devices, systems, and methods enhance the inspection of internal areas and occupants of vehicles, and can employ one or more high-resolution cameras, one or more auxiliary illumination devices and a related computer system. According to various embodiments, an auxiliary illumination device can be synchronized to one or more cameras, and configured to supply auxiliary illumination to facilitate capture of accurate and usable images. Advanced image processing solutions assist with identifying individuals inside a vehicle, removing light glare and undesired reflections from a window surface, and capturing an image through a tinted window, among other things. Further, embodiments can compare a captured image to an authenticated image from a database, so as to confirm the identity of a vehicle occupant.

Various embodiments are generally directed to systems for summarizing data visualizations (i.e., images of data visualizations), such as a graph image, for instance. Some embodiments are particularly directed to a personalized graph summarizer that analyzes a data visualization, or image, to detect pre-defined patterns within the data visualization, and produces a textual summary of the data visualization based on the pre-defined patterns detected within the data visualization. In various embodiments, the personalized graph summarizer may include features to adapt to the preferences of a user for generating an automated, personalized computer-generated narrative. For instance, additional pre-defined patterns may be created for detection and/or the textual summary may be tailored based on user preferences. In some such instances, one or more of the user preferences may be automatically determined by the personalized graph summarizer without requiring the user to explicitly indicate them. Embodiments may integrate machine learning and computer vision concepts.

Systems and methods to improve the optical character recognition of records, and in particular health records, are provided. An image of a medical record is received, and an initial optical image recognition (OCR) on the image is performed to identify text information. The OCR signal quality may be measured, and areas of insufficient OCR signal quality may be isolated. The signal quality is determined by a weighted average of semantic analysis of the resulting text, and/or OCR accuracy measures. The OCR process may be repeated on the isolated regions of lower signal quality, each time using a different OCR transform, until all regions are completed with a desired degree of signal quality (accuracy). All the regions of the document may then be recompiled into a single document for outputting.

Methods and systems for automatically creating item records for physical items. The method may include receiving an image obtained using an image sensor; detecting a physical item in the image; extracting item data regarding the physical item by applying image analysis to the image; determining, using the extracted item data, whether a memory contains an item record for the physical item; and, when no item record for the physical item exists in the memory, generating and storing in the memory a new item record for the physical item in association with the extracted item data.

The disclosed invention includes a method and a system for performing image-aided data collection and retrieval, where the data collection and retrieval is related to one or more persons, or subjects or objects associated with one or more persons. The data collection and retrieval is performed with the help of one or more images that contain one or more objects of interest and at least some annotation data related to at least one object of interest. The data collection and retrieval involves: image and annotation collection, image analysis and searching for similar images, data searching and processing, results aggregation and presentation, and optionally collection of feedback.

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.

An apparatus, method, and computer program product for the improved development of training data sets for use in connection with machine learning models capable of operating on natural language data records and other unstructured data in a network environment. Some example implementations provide for the generation and presentation of record images in a user interface that allows captures user actions reflecting higher-order data analysis and discernment for incorporation into training protocols used for machine learning models.

A computing system for managing product customization is provided. The computing system includes instructions stored in memory and executable by a processor to receive, for each of a plurality of parts of a 3D product, a color selection input specifying a color selected by a user for that part, responsive to receiving the color selection inputs, generate a color histogram of the 3D product including a plurality of units, each unit being associated with one of the parts and assigned the color of that part, where the number of units allocated to each part is based on a size of the part, and display the color histogram in a graphical user interface.

A system and method for associating a document with a concept are provided. One or more idea-electronic document associations is identified, wherein each idea-electronic document association is based on a user performance criteria relative to the electronic document and the idea. At least one of the one or more electronic documents is identified with a concept based on the one or more idea-electronic document associations, wherein the concept is related to the one or more ideas.