公开(公告)号：WO2022271324A1

公开(公告)日：2022-12-29

申请号：PCT/US2022/029514

申请日：2022-05-17

申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

发明人： LI, Ji

IPC分类号： G06F40/103 ,  G06F40/186 ,  G06N20/00 ,  G06T11/60 ,  G06F16/34 ,  G06T13/00 ,  G06F18/2178 ,  G06F40/106 ,  G06F40/114 ,  G06F40/151 ,  G06V10/25 ,  G06V10/462 ,  G06V10/751 ,  G06V30/413 ,  G06V30/422

摘要： Systems and methods for providing a machine learning-powered framework to transform overloaded text documents is provided. The system generates a plurality of candidate templates offline. During runtime, the system accesses a text document and identifies segmentation data. The segmentation data indicates a plurality of segments derived from the text document. The system accesses a plurality of candidate templates, whereby each candidate template comprises a plurality of pages having a different background element that shares a common theme. The plurality of candidate templates is ranked based on at least the segmentation data. The network generates multiple presentation pages for each of a predetermined number of top ranked candidate templates by incorporating each of the plurality of segments into a corresponding page of the plurality of pages for each of the top ranked candidate templates. The multiple presentation pages are presented for each of the top ranked candidate templates as a recommendation.

公开(公告)号：WO2022240413A1

公开(公告)日：2022-11-17

申请号：PCT/US2021/032174

申请日：2021-05-13

申请人： CLIPR CO.

发明人： CHEN, Humphrey ,  CHIN, Cindy ,  SLOMAN, Aaron

IPC分类号： G06F16/738 ,  H04N21/8549 ,  G06F16/739 ,  G06F18/2178 ,  G06N20/00 ,  G06V20/47 ,  G10L15/22 ,  G10L15/26 ,  G10L21/10 ,  G10L25/57 ,  G11B27/031 ,  H04N21/233 ,  H04N21/23418 ,  H04N21/234336 ,  H04N21/251 ,  H04N21/25891 ,  H04N21/4756 ,  H04N21/8586

摘要： System and method to summarize one or more videos are provided. The system includes a data receiving module configured to receive videos; a video analysis module configured to analyse the one or more videos to generate one or more transcription text output; a building block data module configured to create a building block model and to apply the building block model on analysed videos; a video presentation module configured to present contents of the videos using elements and to present the one or more transcription texts; a video prioritization configured to generate one or more ranking formulas for the videos, to prioritize building block models, upon receiving feedback from users, based on contents and transcription texts; a video summarization module configured to generate a video summary; a video action module configured to choose an action to be performed on the videos based on the feedback received from the corresponding users.

公开(公告)号：WO2023278101A1

公开(公告)日：2023-01-05

申请号：PCT/US2022/032288

申请日：2022-06-05

申请人： META PLATFORMS TECHNOLOGIES, LLC

发明人： HLAVAC, Michal ,  STEVENS, Jasper ,  ZWIEGINCEW, Arthur ,  LOUIE, Alexander Michael

IPC分类号： G06F3/01 ,  G06F8/61 ,  G06F16/9535 ,  H04M1/72454 ,  G06F18/2178 ,  G06F18/22 ,  G06F18/2415 ,  G06F21/629 ,  G06F3/011 ,  G06F3/017 ,  G06F3/0482 ,  G06F3/0486 ,  G06N20/00 ,  H04M1/724097

摘要： Aspects of the present disclosure are directed to an artificial reality (XR) application system controlling applications in an artificial reality environment. In various cases, these controls include automatically suggesting XR applications by determining an XR context and identifying applications that match the XR context. These applications can be suggested to a user, who can authorize their execution, setting permissions for the application. In some cases, applications can be divided into components which can be progressively downloaded. By providing application suggestions relevant to the current context and progressively downloading application components, applications can appear ambient, rather than relying on users to constantly download, install, or activate applications. Permissions for applications may be revoked permanently or for certain situations - either through user permissions selections or automatically in response to determined user intents. When multiple applications are simultaneously authorized to execute, the XR application system can employ a ranking system to prevent overcrowding.

公开(公告)号：WO2022271942A1

公开(公告)日：2022-12-29

申请号：PCT/US2022/034712

申请日：2022-06-23

申请人： IMPACT OBSERVATORY, INC.

发明人： BRUMBY, Steven P. ,  KONTGIS, Caitlin ,  KARRA, Krishna

IPC分类号： G06V20/10 ,  G06V10/82 ,  G06K9/62 ,  G06F18/2178 ,  G06T11/00 ,  G06V10/22 ,  G06V10/44 ,  G06V10/764 ,  G06V10/774 ,  G06V10/7784 ,  G06V20/13 ,  G06V20/188 ,  G06V20/194

摘要： Systems and methods are described to systems and methods for training a machine learning model to categorize each pixel of an input overhead image using received overhead images, and using a trained machine learning model to determine, for each pixel of input overhead images, to which land use or land cover mapping category each pixel of each overhead image belongs. The provided systems and methods may generate a map of a geographic area associated with the plurality of overhead images based on the plurality of overhead images and on the determined categories.

公开(公告)号：WO2022271304A1

公开(公告)日：2022-12-29

申请号：PCT/US2022/029096

申请日：2022-05-13

申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

发明人： MALKIEL, Itzik ,  GINZBURG, Dvir ,  KOENIGSTEIN, Noam ,  BARKAN, Oren ,  NICE, Nir

IPC分类号： G06F16/335 ,  G06F16/338 ,  G06F16/93 ,  G06F16/337 ,  G06F18/2113 ,  G06F18/2178 ,  G06V10/751 ,  G06V30/418

摘要： Examples provide a self-supervised language model for document-to-document similarity scoring and ranking long documents of arbitrary length in an absence of similarity labels. In a first stage of a two-staged hierarchical scoring, a sentence similarity matrix is created for each paragraph in the candidate document. A sentence similarity score is calculated based on the sentence similarity matrix. In the second stage, a paragraph similarity matrix is constructed based on aggregated sentence similarity scores associated with the first candidate document. A total similarity score for the document is calculated based on the normalize the paragraph similarity matrix for each candidate document in a collection of documents. The model is trained using a masked language model and intra-and-inter document sampling. The documents are ranked based on the similarity scores for the documents.

公开(公告)号：WO2022268808A1

公开(公告)日：2022-12-29

申请号：PCT/EP2022/066874

申请日：2022-06-21

申请人： METACLUSTER LT, UAB

发明人： JURAVICIUS, Martynas ,  KUKSTA, Andrius

IPC分类号： G06F16/35 ,  G06F16/951 ,  G06V10/82 ,  G06F16/953 ,  G06F18/2178 ,  G06F18/24155 ,  G06N20/00 ,  G06N20/10 ,  G06N20/20 ,  G06N3/08 ,  G06N5/01 ,  G06N7/01 ,  G06V10/464

摘要： Advanced response processing in web data collection discloses processor-implemented apparatuses, methods, and systems of processing unstructured raw HTML responses collected in the context of a data collection service, the method comprising, in one embodiment, receiving raw unstructured HTML documents and extracting text data with associated meta information that may comprise style and formatting information. In some embodiments data field tags and values may be assigned to the text blocks extracted, classifying the data based on the processing of Machine Learning algorithms. Additionally, blocks of extracted data may be grouped and re-grouped together and presented as a single data point. In another embodiment the system may aggregate and present the text data with the associated meta information in a structured format. In certain embodiments the Machine Learning model may be a model trained on a pre-created training data set labeled manually or in an automatic fashion.

公开(公告)号：WO2022240409A1

公开(公告)日：2022-11-17

申请号：PCT/US2021/032168

申请日：2021-05-13

申请人： CLIPR CO.

发明人： CHEN, Humphrey ,  CHIN, Cindy ,  SLOMAN, Aaron

IPC分类号： G06F16/738 ,  G06Q50/00 ,  G06F16/70 ,  G06F16/739 ,  G06F18/2178 ,  G06F18/41 ,  G06N20/00 ,  G06N5/04 ,  G06V20/47 ,  G11B27/036

摘要： System and method for crowdsourcing a video summary for creating an enhanced video summary are disclosed. The method includes receiving videos, analysing the videos, creating the video summary of the videos using a building block model, storing the video summary in a video library database, crowdsourcing the video summary to at least one of the plurality of users, enabling the at least one of the plurality of users to review the video summary and identify at least one new characteristic, enabling the at least one of the plurality of users to share the at least one new characteristic on the platform, comparing at least one existing characteristic of the building block model with the corresponding new characteristic, reconciling the video summary along with at least one inserted new characteristic, creating a new building block model, editing the video summary for creating the enhanced video summary.