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公开(公告)号：US11158351B1
公开(公告)日：2021-10-26
申请号：US16228120
申请日：2018-12-20
Applicant: Snap Inc.
Inventor： Zhou Ren , Yuncheng Li , Ning Xu , Enxu Yan , Tan Yu
Abstract: Aspects of the present disclosure involve a system comprising a storage medium storing a program and method for receiving a video comprising a plurality of video segments; selecting a target action sequence that includes a sequence of action phases; receiving features of each of the video segments; computing, based on the received features, for each of the plurality of video segments, a plurality of action phase confidence scores indicating a likelihood that a given video segment includes a given action phase of the sequence of action phases; identifying a set of consecutive video segments of the plurality of video segments that corresponds to the target action sequence, wherein video segments in the set of consecutive video segments are arranged according to the sequence of action phases; and generating a display of the video that includes the set of consecutive video segments and skips other video segments in the video.
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公开(公告)号：US20200233893A1
公开(公告)日：2020-07-23
申请号：US16844300
申请日：2020-04-09
Applicant: Snap Inc.
Inventor： Xinran He , Jie Luo , Sushobhan Nayak , Zhou Ren , Christophe Jacky Henri Van Gyse
IPC: G06F16/435 , G06N20/00 , G06F16/951 , G06F16/2457 , G06Q50/00
Abstract: Systems and methods are provided for generating training data from queries and user interactions associated with media collections related to the queries, and training a machine learning model using the generated training data to generate a trained machine learning model. The systems and methods further provide for receiving a prediction request comprising a query for relevant media collections, analyzing the query to determine query features, determining a plurality of media collections for the query, analyzing the plurality of media collections to determine media collection features for each media collection of the plurality of media collections, and generating, using the trained machine learning model, a semantic matching score for each media collection of the plurality of media collections based on matching the query features to the media collection features for each media collection of the plurality of media collections.
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公开(公告)号：US10264422B2
公开(公告)日：2019-04-16
申请号：US15967201
申请日：2018-04-30
Applicant: Snap Inc.
Inventor： Ebony James Charlton , Sumant Hanumante , Zhou Ren , Dhritiman Sagar
Abstract: A venue system of a client device can submit a location request to a server, which returns multiple venues that are near the client device. The client device can use one or more machine learning schemes (e.g., convolutional neural networks) to determine that the client device is located in one of specific venues of the possible venues. The venue system can further select imagery for presentation based on the venue selection. The presentation may be published as ephemeral message on a network platform.
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公开(公告)号：US09980100B1
公开(公告)日：2018-05-22
申请号：US15692990
申请日：2017-08-31
Applicant: Snap Inc.
Inventor： Ebony James Charlton , Sumant Hanumante , Zhou Ren , Dhritiman Sagar
CPC classification number: H04W4/043 , G06K9/00671 , G06K9/00691 , G06K9/00697 , G06K9/6215 , G06K9/6267 , G06T11/60 , H04L51/20 , H04L51/32 , H04W88/02
Abstract: A venue system of a client device can submit a location request to a server, which returns multiple venues that are near the client device. The client device can use one or more machine learning schemes (e.g., convolutional neural networks) to determine that the client device is located in one of specific venues of the possible venues. The venue system can further select imagery for presentation based on the venue selection. The presentation may be published as ephemeral message on a network platform.
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