Information retrieval system and method of information retrieval

    公开(公告)号:US11687583B2

    公开(公告)日:2023-06-27

    申请号:US17752515

    申请日:2022-05-24

    CPC classification number: G06F16/5846 G06F16/532 G06F16/538

    Abstract: 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.

    METHOD AND SYSTEM FOR SELECTING MARKER FOR MODIFYING A SCENE WITHIN AN AUGMENTED REALITY BASED COMPUTING ENVIRONMENT

    公开(公告)号:US20230111356A1

    公开(公告)日:2023-04-13

    申请号:US17948981

    申请日:2022-09-20

    Abstract: A method for selection of a marker in an augmented reality (AR) environment is provided. The method includes capturing a scene in the augmented reality environment; extracting a set of region of interest from the scene captured; identifying a text in the region of interest or from a document associated to the region of interest; determining a set of phrase-action pairs from the text; generating a representation of a set of region of interest and a representation of a set of phrase-action pairs; calculating inter model similarity using the set of region of interest and the set of phrase-action pairs in common embedding space; computing intra model similarity by comparing the extracted ROI with a generated ROI and the extracted phrase-action with generated phrase actions; and selecting a phrase-action-ROI tuple having the highest intra modal similarity as the marker.

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