公开(公告)号：US11080351B1

公开(公告)日：2021-08-03

申请号：US16505681

申请日：2019-07-08

Applicant: Snap Inc.

Inventor： Jianchao Yang ,  Yuke Zhu ,  Ning Xu ,  Kevin Dechau Tang ,  Jia Li

IPC: G06F16/9535 ,  G06N20/00 ,  G06F16/954 ,  H04L29/08 ,  H04L12/58 ,  H04L29/06

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a plurality of content communications from a plurality of client devices, each content communication comprising an associated piece of content and a corresponding metadata. Each content communication is processed to determine associated context values for each piece of content, each associated context value comprising at least one content value generated by machine vision processing of the associated piece of content. A first content collection is automatically generated based on context values, and a set of user accounts are associated with the collection. An identifier associated with the first content collection is published to user devices associated with user accounts. In various additional embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.

公开(公告)号：US10956793B1

公开(公告)日：2021-03-23

申请号：US16192419

申请日：2018-11-15

Applicant: Snap Inc.

Inventor： Xiaoyu Wang ,  Ning Xu ,  Ning Zhang ,  Vitor R. Carvalho ,  Jia Li

IPC: G06K9/62 ,  G06N3/08 ,  G06T1/00 ,  G06F16/58

Abstract: Systems, methods, devices, media, and computer readable instructions are described for local image tagging in a resource constrained environment. One embodiment involves processing image data using a deep convolutional neural network (DCNN) comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer, processing, the image data using at least the first layer of the first subgraph to generate first intermediate output data; processing, by the mobile device, the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data, and in response to a determination that each layer reliant on the first intermediate data have completed processing, deleting the first intermediate data from the mobile device. Additional embodiments involve convolving entire pixel resolutions of the image data against kernels in different layers if the DCNN.

公开(公告)号：US20210082453A1

公开(公告)日：2021-03-18

申请号：US17247137

申请日：2020-12-01

Applicant: Snap Inc.

Inventor： Jinxi Guo ,  Jia Li ,  Ning Xu

IPC: G10L25/30 ,  G06N3/04 ,  G06K9/62 ,  G06K9/00 ,  H04S7/00

Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can he modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.

公开(公告)号：US10382373B1

公开(公告)日：2019-08-13

申请号：US15253492

申请日：2016-08-31

Applicant: Snap Inc.

Inventor： Jianchao Yang ,  Yuke Zhu ,  Ning Xu ,  Kevin Dechau Tang ,  Jia Li

IPC: G06F15/16 ,  H04L12/58 ,  G06K9/00 ,  G06F16/22 ,  G06F16/51 ,  G06F16/583 ,  G06T7/00

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a content message from a first content source, and analyzes the content message to determine one or more quality scores and one or more content values associated with the content message. The server computer system analyzes the content message with a plurality of content collections of the database to identify a match between at least one of the one or more content values and a topic associated with at least a first content collection of the one or more content collections and automatically adds the content message to the first content collection based at least in part on the match. In various embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.