VIDEO ANALYTIC PROCESSING WITH NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20220114369A1

    公开(公告)日:2022-04-14

    申请号:US17497246

    申请日:2021-10-08

    Abstract: Systems and methods for video analytic processing with neuro-symbolic artificial intelligence are provided. These systems and methods include detecting and extracting one or more objects from one or more video frames, and identifying the attributes associated with each of the one or more objects. These further include extracting context from a question, and compiling a series of inquiries to identify the information needed to answer the question and identify missing information. These further include storing intermediate information about the extracted objects and identified attributes, and determining whether the question requires further modeling of data to obtain missing information. These further include mining the one or more video frames for missing information, and compiling the intermediate information from the data storage and missing information based on the context of the question to produce a final answer.

    ONLINE FACE CLUSTERING
    23.
    发明申请

    公开(公告)号:US20200293759A1

    公开(公告)日:2020-09-17

    申请号:US16814453

    申请日:2020-03-10

    Abstract: Methods and systems for image clustering include matching a new image to a representative image of a cluster. The new image is set as a representative of the cluster with a first time limit. The new image is set as a representative of the cluster with a second time limit, responsive to a determination that the new image has matched at least one incoming image during the first time limit.

    Field content based pattern generation for heterogeneous logs

    公开(公告)号:US10678669B2

    公开(公告)日:2020-06-09

    申请号:US15956381

    申请日:2018-04-18

    Abstract: A system and method are provided for pattern discovery in input heterogeneous logs having unstructured text content and one or more fields. The system includes a memory. The system further includes a processor in communication with the memory. The processor runs program code to preprocess the input heterogeneous logs to obtain pre-processed logs by splitting the input heterogeneous logs into tokens. The processor runs program code to generate seed patterns from the preprocessed logs. The processor runs program code to generate final patterns by specializing a selected set of fields in each of the seed patterns to generate a final pattern set.

    MULTIBYTE HETEROGENEOUS LOG PREPROCESSING
    25.
    发明申请

    公开(公告)号:US20180060314A1

    公开(公告)日:2018-03-01

    申请号:US15659131

    申请日:2017-07-25

    CPC classification number: G06F16/1794 G06F16/258

    Abstract: Methods and systems for log management include pre-processing heterogeneous logs and performing a log management action on the pre-processed plurality of heterogeneous logs. Pre-processing the logs includes performing a fixed tokenization of the heterogeneous logs based on a predefined set of symbols, performing a flexible tokenization of the heterogeneous logs based on a user-defined set of rules, converting timestamps in the heterogeneous logs to a single target timestamp format, and performing structural log tokenization of the heterogeneous logs based on user-defined structural information.

    DOMAIN-SPECIFIC QUESTION ANSWERING WITH CONTEXT REDUCTION

    公开(公告)号:US20250061118A1

    公开(公告)日:2025-02-20

    申请号:US18800781

    申请日:2024-08-12

    Abstract: Methods and systems for context reduction include identifying a context document relating to a query. A number of sentences of the context document to preserve is determined. The sentences of the context document are ranked according to respective similarities between the sentences and the query. A reduced context is generated that preserves the determined number of highest ranked sentences of the context document and eliminates other sentences from the context document. The query is executed with a language model, including the reduced context in a prompt, to generate a response.

    Video analytic processing with neuro-symbolic artificial intelligence

    公开(公告)号:US11810351B2

    公开(公告)日:2023-11-07

    申请号:US17497246

    申请日:2021-10-08

    Abstract: Systems and methods for video analytic processing with neuro-symbolic artificial intelligence are provided. These systems and methods include detecting and extracting one or more objects from one or more video frames, and identifying the attributes associated with each of the one or more objects. These further include extracting context from a question, and compiling a series of inquiries to identify the information needed to answer the question and identify missing information. These further include storing intermediate information about the extracted objects and identified attributes, and determining whether the question requires further modeling of data to obtain missing information. These further include mining the one or more video frames for missing information, and compiling the intermediate information from the data storage and missing information based on the context of the question to produce a final answer.

    FACE CLUSTERING IN VIDEO STREAMS
    29.
    发明申请

    公开(公告)号:US20210319226A1

    公开(公告)日:2021-10-14

    申请号:US17194911

    申请日:2021-03-08

    Abstract: Methods and systems for video analysis and response include detecting face images within video streams. Noisy images are filtered from the detected face images. Batches of the remaining detected face images are clustered to generate mini-clusters, constrained by temporal locality. The mini-clusters are globally clustered to generate merged clusters formed of face images for respective people, using camera-chain information to constrain a set of the video streams being considered. Analytics are performed on the merged clusters to identify a tracked individual's movements through an environment. A response is performed to the tracked individual's movements.

    EFFICIENT WATCHLIST SEARCHING WITH NORMALIZED SIMILARITY

    公开(公告)号:US20210319212A1

    公开(公告)日:2021-10-14

    申请号:US17197431

    申请日:2021-03-10

    Abstract: Methods and systems for face recognition and response include extracting a face image from a video stream. A pre-processed index is searched for a watchlist image that matches the face image, based on a similarity distance that is computed from a normalized similarity score to satisfy metric properties. The index of the watchlist includes similarity distances between face images stored in the watchlist. An action is performed responsive to a determination that the extracted face image matches the watchlist image.

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