G06F16/5854

Document processor program having document-type dependent user interface
11514229 · 2022-11-29 · ·

Systems and methods for document processing are discussed herein. In certain embodiments, novel document processor programs may allow for a knowledge worker to concentrate on the content of a document, rather than its formatting. Such programs may separately store layout and/or typesetting information from content, allowing for their combination after the content is created. Novel data structures and techniques are provided to permit the use of advanced version control, collaboration techniques and team/or workflows. User interfaces are also disclosed which dynamically adapt to a document type and/or a portion of a document being edited. Such features may significantly increase knowledge worker drafting efficiency.

System and method for monitoring surgical objects

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.

Semantic class localization digital environment

Semantic segmentation techniques and systems are described that overcome the challenges of limited availability of training data to describe the potentially millions of tags that may be used to describe semantic classes in digital images. In one example, the techniques are configured to train neural networks to leverage different types of training datasets using sequential neural networks and use of vector representations to represent the different semantic classes.

Methods and systems for content processing
11587432 · 2023-02-21 · ·

Mobile phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers. The remote service providers can be selected using techniques such as reverse auctions, through which they compete for processing tasks. A great number of other features and arrangements are also detailed.

Intelligent reasoning framework for user intent extraction
11588902 · 2023-02-21 ·

Embodiments of the present systems and methods may provide an intelligent systems framework for analysis of user-generated content from various capture points to determine user intent. For example, a method may be implemented in a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, the method may comprise receiving, at the computer system, data relating to a plurality of aspects of at least one person, including data from at least one of physical or physiological sensors and communicatively connected devices, extracting, at the computer system, from the received data, features relevant to events relating to at least one person, extracting, at the computer system, at least one intent of at least one event relating to at least one person, and performing, at the computer system, an action based on the extracted at least one intent.

Method for the physical, in particular optical, detection of at least one usage object
11586668 · 2023-02-21 ·

Disclosed is a method for the physical, in particular optical, detection of at least one usage object. The method includes the step of carrying out at least one physical detection process, for example by a user and/or an implementation device, in particular of at least one photograph, of the usage object, so that the usage object may be detected in such a way that an image of the usage object as detected during the detection process is shown at the same time as the database object shown on the screen in an identical manner or in a manner identical to scale, wherein as a result of the detection process, the usage object is associated with at least one usage object class, for example a vehicle type, by the processing unit and/or the CPU and/or the user.

System and method for user-behavior based content recommendations

A system and method of predicting a user's most meaningful multimedia content includes enabling a sensing device on a user device in response to a user requesting a multimedia operation, performing the multimedia operation for a multimedia content, in response to the multimedia operation, identifying behavioral and interaction cues of the user with the sensing device substantially when the multimedia operation is being performed, updating a recommendation from a set of multimedia content including the multimedia content represented by the behavioral and interaction cues identified, and presenting the updated recommendation to the user.

Methods and Systems for an Automated Design, Fulfillment, Deployment and Operation Platform for Lighting Installations

A platform for design of a lighting installation generally includes an automated search engine for retrieving and storing a plurality of lighting objects in a lighting object library and a lighting design environment providing a visual representation of a lighting space containing lighting space objects and lighting objects. The visual representation is based on properties of the lighting space objects and lighting objects obtained from the lighting object library. A plurality of aesthetic filters is configured to permit a designer in a design environment to adjust parameters of the plurality of lighting objects handled in the design environment to provide a desired collective lighting effect using the plurality of lighting objects.

Electronic device for providing information on item based on category of item

Electronic devices are disclosed. A first device stores items, parent categories, images, child categories and product information for each item. The first device receives a search image from a second device, determines a parent category and a child category of the search item, identifies a first database from among the databases matching the determined parent category of the search item, when the child category is determined, identifies a subset of the stored items corresponding the first database that match the search image based on at least one feature of the received search image and the determined child category of the received search image, and transmits information on the identified subset of the stored items to the external electronic device. The second device transmits the image of a first item to the first device, and receives a transmission indicating one or more second items matching the transmitted image for display.

Universal object recognition

Large scale instance recognition is provided that can take advantage of channel-wise pooling. A received query image is processed to extract a set of features that can be used to generate a set of region proposals. The proposed regions of image data are processed using a trained classifier to classify the regions as object or non-object regions. Extracted features for the object regions are processed using feature correlation against extracted features for a set of object images, each representing a classified object. Matching tensors generated from the comparison are processed using a spatial verification network to determine match scores for the various object images with respect to a specific object region. The match scores are used to determine which objects, or types of objects, are represented in the query image. Information or content associated with the matching objects can be provided as part of a response.