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公开(公告)号:US20230199277A1
公开(公告)日:2023-06-22
申请号:US18084953
申请日:2022-12-20
Inventor: Donghai Bian , Yuwei Wu , Guangzhi Sheng , Yehan Zheng , Weihua Peng , Weijian Xu
IPC: H04N21/845 , G06V20/40
CPC classification number: H04N21/8456 , G06V20/46
Abstract: Provided are a video generation method, an electronic device, and a non-transitory computer-readable storage medium. The implementation scheme is as follows: a place path of at least two target events is planned in an electronic map according to occurrence places of the at least two target events and occurrence time of the at least two target events, where the at least two target events have a same theme; video sub-segments of the at least two target events are respectively determined to obtain at least two video sub-segments; and a target video is generated according to the at least two video sub-segments and the place path.
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公开(公告)号:US20220084077A1
公开(公告)日:2022-03-17
申请号:US17532989
申请日:2021-11-22
Inventor: Donghai Bian , Yehan Zheng , Weihua Peng , Yu Luo
IPC: G06Q30/02
Abstract: Exemplary embodiments of the present disclosure provide a method and apparatus for automatically generating an advertisement, a device, a computer-readable storage medium, and a computer program product. The method for automatically generating an advertisement includes: obtaining, based on a field to which an object of the advertisement belongs, multimedia content reflecting attributes of the object, wherein the multimedia content comprises one of text content, image content, video content, and audio content; generating, based on the field and the attributes, text information describing the object; and combining the multimedia content and the text information to generate the advertisement.
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公开(公告)号:US20220083874A1
公开(公告)日:2022-03-17
申请号:US17532968
申请日:2021-11-22
Inventor: Donghai Bian , Weihua Peng , Yu Luo , Shuai Jiang
IPC: G06N5/02 , G06K9/62 , G06F40/279 , G06F16/957
Abstract: A method and apparatus for training a search model, and a method and apparatus for searching for a target object are provided. The method may comprise: obtaining, based on sample query information, a first sample data set used to train the search model. The method may further comprise: determining, based on a pre-constructed knowledge base, additional query information associated with the sample query information. In addition, the method may further comprise: obtaining, based on the additional query information, a second sample data set used to train the search model, wherein the second sample data set is different from the first sample data set. Moreover, the method may further comprise: training the search model based on the sample query information, the first sample data set, and the second sample data set.
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