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公开(公告)号:US12112539B2
公开(公告)日:2024-10-08
申请号:US17450158
申请日:2021-10-06
Inventor: Qi Wang , Zhifan Feng , Hu Yang , Chunguang Chai
CPC classification number: G06V20/46 , G06F18/22 , G06F18/25 , G06N3/045 , G06V10/806 , G06V20/48 , G06V20/49
Abstract: A video processing method, an electronic device and a storage medium are provided, and relate to the field of artificial intelligence, and particularly relates to the fields of deep learning, model training, knowledge mapping, video processing and the like. The method includes: acquiring a plurality of first video frames, and performing fine-grained splitting on the plurality of first video frames to obtain a plurality of second video frames; performing feature encoding on the plurality of second video frames according to multi-mode information related to the plurality of second video frames, to obtain feature fusion information for characterizing fusion of the multi-mode information; and performing similarity matching on the plurality of second video frames according to the feature fusion information, and obtaining a target video according to a result of the similarity matching.
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公开(公告)号:US20230112385A1
公开(公告)日:2023-04-13
申请号:US18079846
申请日:2022-12-12
Inventor: Qi Wang , Zhifan Feng , Chunguang Chai , Yong Zhu
IPC: G06F16/432 , G06F16/483
Abstract: A method of obtaining an event information, an electronic device, and a storage medium, which relate to a field of artificial intelligence, in particular to fields of knowledge graph and deep learning technologies. A specific implementation solution of the method of obtaining the event information includes: determining, according to a query information in data to be processed, a first key information describing an event; determining, according to multimedia data in the data to be processed, a second key information describing an event, wherein the multimedia data includes data obtained by querying based on the query information; and fusing the first key information and the second key information, so as to obtain an event information of a target event described by the data to be processed.
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公开(公告)号:US12222977B2
公开(公告)日:2025-02-11
申请号:US18080432
申请日:2022-12-13
Inventor: Shuai Chen , Qi Wang , Zhifan Feng , Chunguang Chai , Yong Zhu
IPC: G06F18/25 , G06F16/43 , G06F16/483 , G06F18/22 , G06N5/02
Abstract: A method of processing multimedia data, a device, and a medium, which relates to a field of an artificial intelligence technology, in particular to fields of knowledge graph and deep learning. The method of processing the multimedia data includes: recognizing the multimedia data so as to obtain at least one key information of the multimedia data; querying a predetermined knowledge base according to the at least one key information, so as to determine a multimedia name associated with the at least one key information and an association degree between the multimedia name and the at least one key information; and determining, in the multimedia name, a name of the multimedia data based on a similarity between alternative multimedia data for the multimedia name and the multimedia data, in response to the association degree being less than a first threshold value.
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公开(公告)号:US12094208B2
公开(公告)日:2024-09-17
申请号:US17502173
申请日:2021-10-15
Inventor: Hu Yang , Feng He , Qi Wang , Zhifan Feng , Chunguang Chai , Yong Zhu
IPC: G06K9/62 , G06F18/214 , G06F18/241 , G06F18/25 , G06N20/00 , G06V10/22 , G06V10/40 , G06V10/70 , G06V10/764 , G06V10/80 , G06V10/82 , G06V20/40 , G06V20/62 , G06V20/70 , G10L15/08 , G06N3/08 , G06V30/10
CPC classification number: G06V20/46 , G06F18/214 , G06F18/241 , G06F18/253 , G06N20/00 , G06V10/22 , G06V10/40 , G06V10/764 , G06V10/768 , G06V10/806 , G06V10/82 , G06V20/41 , G06V20/635 , G06V20/70 , G10L15/08 , G06N3/08 , G06V30/10
Abstract: The present disclosure discloses a video classification method, an electronic device and a storage medium, and relates to the field of computer technologies, and particularly to the field of artificial intelligence technologies, such as knowledge graph technologies, computer vision technologies, deep learning technologies, or the like. The video classification method includes: extracting a keyword in a video according to multi-modal information of the video; acquiring background knowledge corresponding to the keyword, and determining a text to be recognized according to the keyword and the background knowledge; and classifying the text to be recognized to obtain a class of the video.
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公开(公告)号:US12038982B2
公开(公告)日:2024-07-16
申请号:US17957188
申请日:2022-09-30
Inventor: Yue Zhang , Zhou Fang , Yabing Shi , Ye Jiang , Chunguang Chai
IPC: G06F7/00 , G06F16/22 , G06F16/906 , G06F40/177 , G06F40/20
CPC classification number: G06F16/906 , G06F16/2282 , G06F40/177 , G06F40/20
Abstract: A method of extracting a table information, an electronic device, and a storage medium are provided, which relate to fields of artificial intelligence and big data, in particular to fields of machine learning, knowledge graph, intelligent search and intelligent recommendation, and may be used for an intelligent extraction of an information in a table and other scenarios. The method includes: performing a clustering based on features of a plurality of rows of cells and/or features of a plurality of columns of cells in a table, so as to determine candidate header cells in the table; and performing an information extraction on the table based on the candidate header cells, so as to extract attribute-attribute value pairs in the table.
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公开(公告)号:US11954084B2
公开(公告)日:2024-04-09
申请号:US17871666
申请日:2022-07-22
Inventor: Yue Zhang , Yabing Shi , Ye Jiang , Chunguang Chai
IPC: G06F16/22 , G06F16/242
CPC classification number: G06F16/2246 , G06F16/2282 , G06F16/244
Abstract: A method and apparatus for processing a table, a device, a storage medium and a product. An implementation of the method comprise: receiving a content query request for a target table; acquiring a target tree structure of the target table according to the content query request; where, the target tree structure is obtained by performing absorbing processing and merging processing on at least one target cell in the target table; acquiring to-be-queried content in the content query request; and querying target content matching the to-be-queried content from the target tree structure.
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公开(公告)号:US12204851B2
公开(公告)日:2025-01-21
申请号:US17864636
申请日:2022-07-14
Inventor: Tongyang Liu , Shu Wang , Wanli Chang , Wei Zheng , Zhifan Feng , Chunguang Chai , Yong Zhu
IPC: G06F40/211 , G06F40/109 , G06F40/30 , G06N3/08
Abstract: A method for generating a pre-trained language model, includes: obtaining sample files; obtaining typography structure information and text information of the sample files by parsing the sample files; obtaining a plurality of task models of a pre-trained language model; obtaining a trained pre-trained language model by jointly training the pre-trained language model and the plurality of task models according to the typography structure information and the text information; and generating a target pre-trained language model by fine-tuning the trained pre-trained language model according to the typography structure information and the text information.
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公开(公告)号:US11755654B2
公开(公告)日:2023-09-12
申请号:US17173318
申请日:2021-02-11
Inventor: Qian Li , Yabing Shi , Ye Jiang , Chunguang Chai , Yong Zhu
IPC: G06F16/90 , G06F16/9032 , G06F16/906 , G06F16/903 , G06F40/30 , G06N3/049
CPC classification number: G06F16/90332 , G06F16/906 , G06F16/90335 , G06F40/30 , G06N3/049
Abstract: Provided by the present disclosure is a new category tag mining method, involving the field of knowledge graph technology, and including: obtaining a plurality of queries during a current preset time period; labeling a category tag on each query of the plurality of queries, by using a pre-trained sequence labeling model, to extract the category tag currently corresponding to the query from the query; and removing a category tag already existing in a preset current category tag library from category tags currently corresponding to all the queries, and determining a remaining category tag as a new category tag. The present disclosure also provides an electronic device and a non-transitory computer-readable storage medium.
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