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    Concurrent transmission of audio and ultrasound
    1.
    发明授权
    Concurrent transmission of audio and ultrasound 有权

    公开(公告)号：US11567894B1

    公开(公告)日：2023-01-31

    申请号：US16821353

    申请日：2020-03-17

    Applicant: Amazon Technologies, Inc.

    Inventor： Xiang Zhou ,  Hao Chen

    IPC: G06F13/42 ,  G06F3/16 ,  G05B19/042

    Abstract: Techniques for concurrent transmission of audio and ultrasound are described. In an example, a computing device generates, in a digital domain, mixed audio data from multiple sets of audio data, each set corresponding to a different audio channel. The computing device also generates, in the digital domain, ultrasound data, and generates serial data by providing the mixed audio data and the ultrasound data as different inputs to an I2S mixing module. In an analog domain, the computing device generates an output signal based at least in part on the serial data, and sends the output signal to a speaker.

    System, method and apparatus for scene recognition
    2.
    发明授权
    System, method and apparatus for scene recognition 有权

    公开(公告)号：US10019463B2

    公开(公告)日：2018-07-10

    申请号：US14747232

    申请日：2015-06-23

    Applicant: Amazon Technologies, Inc.

    Inventor： Yi Li ,  Tianqiang Liu ,  Hao Chen ,  Meng Wang

    IPC: G06F17/30 ,  G06K9/00 ,  G06K9/52 ,  G06K9/62

    Abstract: An image processing system for recognizing the scene type of an input image generates an image distance metric from a set of images. The image processing system further extracts image features from the input image and each image in the set of images. Based on the distance metric and the extracted image features, the image processing system computes image feature distances for selecting a subset of images. The image processing system derives a scene type from the scene type of the subset of images. In one embodiment, the image processing system is a cloud computing system.

    Content moderation using object detection and image classification
    3.
    发明授权
    Content moderation using object detection and image classification 有权

    公开(公告)号：US11423265B1

    公开(公告)日：2022-08-23

    申请号：US16917721

    申请日：2020-06-30

    Applicant: Amazon Technologies, Inc.

    Inventor： Hao Chen ,  Hao Wu ,  Hao Li ,  Michael Quang Thai Lam ,  Xinyu Li ,  Kaustav Kundu ,  Meng Wang ,  Joseph P Tighe ,  Rahul Bhotika

    IPC: G06K9/62 ,  G06T7/10 ,  G06T11/20 ,  G06N20/00

    Abstract: Methods, systems, and computer-readable media for content moderation using object detection and image classification are disclosed. A content moderation system performs object detection on an input image using one or more object detectors. The object detection finds one or more elements in the input image. The content moderation system performs classification based at least in part on the input image using one or more image classifiers. The classification determines one or more values indicative of one or more content types in the input image. The content moderation system determines one or more scores for one or more content labels corresponding to the one or more content types. At least one of the scores represents a finding of one or more of the content types in the input image. The content moderation system generates output indicating the finding of the one or more of the content types.

    System, method and apparatus for scene recognition
    4.
    发明授权
    System, method and apparatus for scene recognition 有权

    公开(公告)号：US10176196B2

    公开(公告)日：2019-01-08

    申请号：US14747232

    申请日：2015-06-23

    Applicant: Amazon Technologies, Inc.

    Inventor： Yi Li ,  Tianqiang Liu ,  Hao Chen ,  Meng Wang

    IPC: G06F17/30 ,  G06K9/00 ,  G06K9/52 ,  G06K9/62

    Abstract: An image processing system for recognizing the scene type of an input image generates an image distance metric from a set of images. The image processing system further extracts image features from the input image and each image in the set of images. Based on the distance metric and the extracted image features, the image processing system computes image feature distances for selecting a subset of images. The image processing system derives a scene type from the scene type of the subset of images. In one embodiment, the image processing system is a cloud computing system.

    Person tracking across video instances
    6.
    发明授权
    Person tracking across video instances 有权

    公开(公告)号：US11048919B1

    公开(公告)日：2021-06-29

    申请号：US15993222

    申请日：2018-05-30

    Applicant: Amazon Technologies, Inc.

    Inventor： Davide Modolo ,  Hao Chen ,  Enrica Maria Filippi ,  Stephen Gould ,  Camille Claire Le Men ,  Andrea Olgiati

    IPC: G06K9/00 ,  H04N7/18

    Abstract: People can be tracked across multiple segments of video data, which can correspond to different scenes in a single video file, or multiple video streams or feeds. An instance of video data can be broken up into segments that can each be analyzed to determine faces and bodies represented therein. The bodies can be analyzed across frames of the segment to determine body tracklets that are consistent across the segment. Associations of faces and bodies can be determined based using relative distances and/or spatial relationships. A subsequent clustering of these associations is performed to attempt to determine consistent associations that correspond to unique individuals. Unique identifiers are determined for each person represented in one or more segments of an instance of video data. Such an approach enables individual representations to be correlated across multiple instances.

    Fine-grain content moderation to restrict images
    7.
    发明授权
    Fine-grain content moderation to restrict images 有权

    公开(公告)号：US10962939B1

    公开(公告)日：2021-03-30

    申请号：US15607183

    申请日：2017-05-26

    Applicant: Amazon Technologies, Inc.

    Inventor： Ranju Das ,  Wei Xia ,  Hao Chen ,  Meng Wang ,  Venkatesh Bagaria ,  Jonathan Andrew Hedley

    IPC: G05B13/02 ,  G06K9/00 ,  G06F16/33 ,  G06T7/277

    Abstract: The present disclosure provides for customizable content moderation using neural networks with fine-grained and dynamic image classification ontology. A content moderation system of the present disclosure may provide a plurality of image categories in which a subset of of image categories may be designated as restricted categories. The restricted categories may be chosen by a content provider or an end-user. The content moderation system may utilize a neural network to classify image data (e.g., still images, video, etc.) into one or more of the plurality of image categories, and determine that an image is a restricted image upon classifying the image into one of the restricted categories. The restricted image may by flagged, rejected, removed, or otherwise filtered upon being classified as a restricted image.

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