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公开(公告)号:WO2023060015A1
公开(公告)日:2023-04-13
申请号:PCT/US2022/077332
申请日:2022-09-30
Applicant: RSI WORKLETE, LLC
IPC: G06V20/40 , G06V20/52 , G06K9/62 , G06N3/02 , G06N20/00 , G06V10/141 , G06V10/764 , G06V20/41 , G06V20/44
Abstract: According to some embodiments, disclosed are systems and methods for machine learning-based image detection and the determination of slippery conditions based therefrom. The disclosed systems and method identify a set of images that depict captured imagery in relation to at least one area of a floor at a location. These images are then analyzed via at least one slippery condition detection machine learning algorithm, which results in a determination of a classification of the area of the floor (e.g., does a puddle exist or other type of slippery condition). This information is stored and later used for training of the at least one slippery condition detection machine learning algorithm. Moreover, the information is communicated to beacons in/around the location, to alert users to the condition.
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公开(公告)号:WO2022240411A1
公开(公告)日:2022-11-17
申请号:PCT/US2021/032172
申请日:2021-05-13
Applicant: CLIPR CO.
Inventor: CHEN, Humphrey , CHIN, Cindy , SLOMAN, Aaron
IPC: G06Q10/10 , G06N20/00 , G06N7/005 , G06T11/206 , G06V20/41 , G06V20/44 , G06V20/46 , G10L15/1815 , G10L15/22 , G10L2015/088 , G10L25/57
Abstract: System and method for determining an outcome probability of an event based on videos are disclosed. The method includes receiving the videos of an event, creating a building block model, extracting one of an audio content, a video content from the videos, analysing extracted content, generating an analysis result, analysing an engagement between speaker and participant of event, generating a data lake comprising a keyword library, computing the outcome probability of the event, enabling the building block model to learn from the data lake and the outcome probability computed and representing the at least one outcome probability in a pre-defined format.
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公开(公告)号:WO2022011277A2
公开(公告)日:2022-01-13
申请号:PCT/US2021/041114
申请日:2021-07-09
Applicant: OVERWATCH SYSTEMS, LTD.
Inventor: EHRLICH, Jonathan Michael , STEINBERG, Hillel
IPC: G06T19/00 , G06K9/6259 , G06T19/006 , G06T19/20 , G06T2219/004 , G06T2219/024 , G06V10/255 , G06V20/13 , G06V20/41
Abstract: A technique for geospatial tracking includes receiving live video from a first source, rendering a map that encompasses a geographical region imaged by the live video, and displaying the map along with the live video, thereby enabling a human user or computer to associate objects in the video with geographical features on the map. The technique further includes receiving geotagged content from a second source and displaying a representation of the geotagged content along with the video and the map.
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公开(公告)号:WO2021261830A1
公开(公告)日:2021-12-30
申请号:PCT/KR2021/007499
申请日:2021-06-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: BAIJAL, Anant , SON, Hoshin , CHO, Eunae , PARK, Sangshin , CHA, Seungwon
IPC: H04N17/00 , G06K9/6256 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T7/0002 , G06V10/462 , G06V20/41 , G06V20/46
Abstract: A video quality assessment apparatus and method are provided. The video quality assessment apparatus includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: identify whether a frame included in a video is a fully-blurred frame or a partially-blurred frame based on a blur level of the frame, obtain, in response to the frame being the fully-blurred frame, an analysis-based quality score with respect to the fully-blurred frame; obtain, in response to the frame being the partially-blurred frame, a model-based quality score with respect to the partially-blurred frame; and process the video based on at least one of the analysis-based quality score or the model-based quality score to obtain a processed video.
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公开(公告)号:WO2023034301A8
公开(公告)日:2023-03-09
申请号:PCT/US2022/042042
申请日:2022-08-30
Applicant: EMED LABS, LLC
Inventor: KRAMER, Nicholas Atkinson , LARKIN, Christopher T. , WILLIAMS, Christopher Richard , SANDS, John Andrew , BRYANT, Colman Thomas , MCKNIGHT, Glen Crampton , HAND, Randall Eugene
IPC: G16H50/20 , G16H50/30 , G16H30/20 , G16H30/40 , G06T2207/20212 , G06T2207/30004 , G06T2207/30201 , G06T3/4038 , G06T5/001 , G06T5/008 , G06T5/009 , G06T5/40 , G06T5/50 , G06V10/25 , G06V10/751 , G06V10/774 , G06V20/41 , G06V30/41 , G06V40/172 , G16H40/67 , H04N5/272
Abstract: Systems and methods for providing remotely proctored at-home health testing and diagnostics are provided herein. In particular, systems and methods for improving proctor performance by increasing accuracy and reducing proctor time are disclosed. In some embodiments, images and/or video of a patient may be enhanced to aid the proctor. In some embodiments, proctor performance may be evaluated. In some embodiments, proctor time per patient may be reduced by automating one or more steps in a proctored testing process.
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公开(公告)号:WO2023278448A1
公开(公告)日:2023-01-05
申请号:PCT/US2022/035319
申请日:2022-06-28
Applicant: ARRIS ENTERPRISES LLC
Inventor: L., Brenda
IPC: H04N19/114 , H04N19/159 , H04N19/172 , H04N19/177 , H04N19/40 , G06V20/41
Abstract: A system for restructuring video frames.
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公开(公告)号:WO2023273049A1
公开(公告)日:2023-01-05
申请号:PCT/CN2021/126425
申请日:2021-10-26
Applicant: 杭州海康威视系统技术有限公司
IPC: G06K9/00 , G06K9/62 , G06F18/253 , G06V20/41 , G06V20/46
Abstract: 本申请实施例提供了一种目标对象位置关系分析方法、装置、存储介质及电子设备。其中,目标对象位置关系分析方法包括:获取分别包含目标空间区域视频图像的多段视频;在多段视频中确定多个目标对象,并对多段视频进行融合以得到包含多个目标对象的合成视频;基于合成视频中每个目标对象对应的目标图像的特征参数随时间序列的变化分析并确定目标对象之间的位置关系。采用本申请实施例能够解决与事件相关的多个目标对象无法在一段视频中同时展现,工作人员无法从一段视频中获取该多个目标对象之间的位置关系的问题。
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公开(公告)号:WO2022271266A1
公开(公告)日:2022-12-29
申请号:PCT/US2022/026349
申请日:2022-04-26
Applicant: X DEVELOPMENT LLC
Inventor: RADKOFF, Rebecca , ANDRE, David
IPC: G06V10/82 , G06F40/00 , G06V20/40 , G06V30/19 , G06V10/778 , G06F40/30 , G06V10/7788 , G06V20/41 , G06V20/44 , G06V20/46
Abstract: Implementations are described herein for formulating natural language descriptions based on temporal sequences of digital images. In various implementations, a natural language input may be analyzed. Based on the analysis, a semantic scope to be imposed on a natural language description that is to be formulated based on a temporal sequence of digital images may be determined. The temporal sequence of digital images may be processed based on one or more machine learning models to identify one or more candidate features that fall within the semantic scope. One or more other features that fall outside of the semantic scope may be disregarded. The natural language description may be formulated to describe one or more of the candidate features.
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公开(公告)号:WO2021250362A1
公开(公告)日:2021-12-16
申请号:PCT/FR2021/051053
申请日:2021-06-11
Applicant: FONDATION DE COOPERATION SCIENTIFIQUE , UNIVERSITÉ DE STRASBOURG , CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE - CNRS - , UNIVERSITÀ CATTOLICA DEL SACRO CUORE , INSTITUT DE RECHERCHE CONTRE LES CANCERS DE L'APPAREIL DIGESTIF
Inventor: PADOY, Nicolas , MASCAGNI, Pietro , DALLEMAGNE, Bernard
Abstract: L'invention concerne un dispositif un dispositif de traitement d'un flux vidéo relatif à un acte opératoire spécifique, ledit dispositif comprenant : une interface de réception de flux vidéo un processeur, et une mémoire stockant des instructions, de sorte que lorsque ces instructions sont exécutées par le processeur, elles configurent le dispositif pour: réceptionner via l'interface de réception de flux vidéo le flux vidéo comprenant une séquence d'images dont une image à traiter représentant au moins une partie d'un élément anatomique, ladite image à traiter étant formée par des éléments de traitement; déterminer au moyen d'une fonction de traitement si un critère est ou non vérifié sur l'image à traiter; déterminer un état d'avancement associé à l'image à traiter en fonction de si le critère est vérifié ou non, l'état d'avancement étant représentatif d'un état d'avancement d'une étape opératoire de l'acte opératoire spécifique.
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公开(公告)号:WO2023282847A1
公开(公告)日:2023-01-12
申请号:PCT/SG2022/050344
申请日:2022-05-24
Applicant: LEMON INC.
Inventor: JIN, Xiaojie , CHEN, Yi-Wen , SHEN, Xiaohui
IPC: G06F18/213 , G06V10/82 , G06N3/04 , G06F18/214 , G06N3/02 , G06V10/44 , G06V10/454 , G06V10/462 , G06V10/806 , G06V10/95 , G06V20/41 , G06V20/46 , G06V2201/07
Abstract: The present disclosure describes techniques of detecting objects in a video. The techniques comprises extracting features from each frame of the video; generating a first attentive feature by applying a first attention model on at least some of features extracted from any particular frame among the plurality of frames, wherein the first attention model identifies correlations between a plurality of locations in the particular frame by computing relationships between any two locations among the plurality of locations; generating a second attentive feature by applying a second attention model on at least one pair of features at different levels selected from the features extracted from the particular frame, wherein the second attention model identifies a correlation between at least one pair of locations corresponding to the at least one pair of features; and generating a representation of an object included in the particular frame.
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