ENCODING AND DECODING A STYLIZED CUSTOM GRAPHIC

    公开(公告)号:US20200242812A1

    公开(公告)日:2020-07-30

    申请号:US16846949

    申请日:2020-04-13

    Applicant: Snap Inc.

    Abstract: Disclosed are methods for encoding information in a graphic image. The information may be encoded so as to have a visual appearance that adopts a particular style, so that the encoded information is visually pleasing in the environment in which it is displayed. An encoder and decoder are trained during an integrated training process, where the encoder is tuned to minimize a loss when its encoded images are decoded. Similarly, the decoder is also trained to minimize loss when decoding the encoded images. Both the encoder and decoder may utilize a convolutional neural network in some aspects to analyze data and/or images. Once data is encoded, a style from a sample image is transferred to the encoded data. When decoding, the decoder may largely ignore the style aspects of the encoded data and decode based on a content portion of the data.

    Encoding and decoding a stylized custom graphic

    公开(公告)号:US11887344B2

    公开(公告)日:2024-01-30

    申请号:US18128128

    申请日:2023-03-29

    Applicant: Snap Inc.

    CPC classification number: G06T9/002 G06N3/047 H04L51/52

    Abstract: Disclosed are methods for encoding information in a graphic image. The information may be encoded so as to have a visual appearance that adopts a particular style, so that the encoded information is visually pleasing in the environment in which it is displayed. An encoder and decoder are trained during an integrated training process, where the encoder is tuned to minimize a loss when its encoded images are decoded. Similarly, the decoder is also trained to minimize loss when decoding the encoded images. Both the encoder and decoder may utilize a convolutional neural network in some aspects to analyze data and/or images. Once data is encoded, a style from a sample image is transferred to the encoded data. When decoding, the decoder may largely ignore the style aspects of the encoded data and decode based on a content portion of the data.

    Encoding and decoding a stylized custom graphic

    公开(公告)号:US11670012B2

    公开(公告)日:2023-06-06

    申请号:US17302361

    申请日:2021-04-30

    Applicant: Snap Inc.

    CPC classification number: G06T9/002 G06N3/047 H04L51/52

    Abstract: Disclosed are methods for encoding information in a graphic image. The information may be encoded so as to have a visual appearance that adopts a particular style, so that the encoded information is visually pleasing in the environment in which it is displayed. An encoder and decoder are trained during an integrated training process, where the encoder is tuned to minimize a loss when its encoded images are decoded. Similarly, the decoder is also trained to minimize loss when decoding the encoded images. Both the encoder and decoder may utilize a convolutional neural network in some aspects to analyze data and/or images. Once data is encoded, a style from a sample image is transferred to the encoded data. When decoding, the decoder may largely ignore the style aspects of the encoded data and decode based on a content portion of the data.

    Encoding and decoding a stylized custom graphic

    公开(公告)号:US10657676B1

    公开(公告)日:2020-05-19

    申请号:US16022536

    申请日:2018-06-28

    Applicant: Snap Inc.

    Abstract: Disclosed are methods for encoding information in a graphic image. The information may be encoded so as to have a visual appearance that adopts a particular style, so that the encoded information is visually pleasing in the environment in which it is displayed. An encoder and decoder are trained during an integrated training process, where the encoder is tuned to minimize a loss when its encoded images are decoded. Similarly, the decoder is also trained to minimize loss when decoding the encoded images. Both the encoder and decoder may utilize a convolutional neural network in some aspects to analyze data and/or images. Once data is encoded, a style from a sample image is transferred to the encoded data. When decoding, the decoder may largely ignore the style aspects of the encoded data and decode based on a content portion of the data.

    PROCESSING AND FORMATTING VIDEO FOR INTERACTIVE PRESENTATION

    公开(公告)号:US20200152238A1

    公开(公告)日:2020-05-14

    申请号:US16743563

    申请日:2020-01-15

    Applicant: Snap Inc.

    Abstract: Systems and methods are described for determining a first media item related to an event, of a plurality of stored media items each comprising video content related to the event, that was captured in a device orientation corresponding to a first device orientation detected for the first computing device; providing, to the first computing device, the first media item to be displayed on the first computing device; in response to a detected change to a second device orientation for the first computing device, determining a second media item that was captured in a device orientation corresponding to the second device orientation detected for the first computing device; and providing, to the first computing device, the second media item to be displayed on the first computing device.

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