Generating video content
    101.
    发明授权

    公开(公告)号:US10430992B1

    公开(公告)日:2019-10-01

    申请号:US15887884

    申请日:2018-02-02

    Applicant: Outward, Inc.

    Abstract: Improved techniques for generating video content are disclosed. In some embodiments, a frame is first rendered using a first rendering option. It is then determined whether the frame is an independent frame (I-frame) or a predictive frame (P-frame). In the event that the frame is an I-frame, the frame is rendered using a second rendering option. In the event that the frame is a P-frame, the frame as rendered by the first rendering option and a previous frame as rendered by the first rendering option are used to determine prediction error. The first rendering option comprises a lower computational complexity than the second rendering option.

    ARBITRARY VIEW GENERATION
    103.
    发明申请

    公开(公告)号:US20190066364A1

    公开(公告)日:2019-02-28

    申请号:US16171221

    申请日:2018-10-25

    Applicant: Outward, Inc.

    Abstract: Techniques for generating an arbitrary perspective of a composite object are disclosed. In some embodiments, a specification of an orthographic view of a composite object comprises combined orthographic views of a plurality of objects, and an arbitrary perspective of the composite object is at least in part generated by populating the arbitrary perspective of the composite object with pixels harvested from existing images of the plurality of objects.

    MACHINE LEARNING BASED IMAGE PROCESSING TECHNIQUES

    公开(公告)号:US20190043243A1

    公开(公告)日:2019-02-07

    申请号:US16056136

    申请日:2018-08-06

    Applicant: Outward, Inc.

    Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.

    ARBITRARY VIEW GENERATION
    105.
    发明申请

    公开(公告)号:US20180247398A1

    公开(公告)日:2018-08-30

    申请号:US15967394

    申请日:2018-04-30

    Applicant: Outward, Inc.

    Abstract: Techniques for generating an arbitrary ensemble view from existing views of a plurality of scenes are disclosed. In some embodiments, for each of a plurality of scenes, each of a corresponding set of one or more views is normalized to a desired perspective if its existing perspective is different than the desired perspective. An ensemble view comprising the plurality of scenes that has the desired perspective is generated at least in part using pixels from views of the scenes having the desired perspective including the normalized views.

    Arbitrary view generation
    106.
    发明授权

    公开(公告)号:US09996914B2

    公开(公告)日:2018-06-12

    申请号:US15081553

    申请日:2016-03-25

    Applicant: Outward, Inc.

    CPC classification number: G06T5/50 G06T15/205

    Abstract: Techniques for generating an arbitrary view from a plurality of other existing views are disclosed. In some embodiments, arbitrary view generation includes retrieving a first image having a first perspective and a second image having a second perspective, transforming each of the first image and the second image into a third perspective; and generating a third image having the third perspective by combining at least some of the pixels from the transformed first image and at least some of the pixels from the transformed second image.

    Generating video content
    107.
    发明授权
    Generating video content 有权
    生成视频内容

    公开(公告)号:US09418469B1

    公开(公告)日:2016-08-16

    申请号:US14337125

    申请日:2014-07-21

    Applicant: Outward, Inc.

    Abstract: Improved techniques for generating video content are disclosed. In some embodiments, a frame is first rendered using a first rendering option. It is then determined whether the frame is an independent frame (I-frame) or a predictive frame (P-frame). In the event that the frame is an I-frame, the frame is rendered using a second rendering option. In the event that the frame is a P-frame, the frame as rendered by the first rendering option and a previous frame as rendered by the first rendering option are used to determine prediction error. The first rendering option comprises a lower computational complexity than the second rendering option.

    Abstract translation: 公开了用于产生视频内容的改进技术。 在一些实施例中,首先使用第一呈现选项呈现帧。 然后确定帧是独立帧(I帧)还是预测帧(P帧)。 在帧是I帧的情况下,使用第二渲染选项来渲染帧。 在帧是P帧的情况下,使用由第一渲染选项渲染的帧和由第一渲染选项呈现的先前帧来确定预测误差。 第一渲染选项包括比第二渲染选项更低的计算复杂度。

    Two-dimensional compositing
    108.
    发明授权

    公开(公告)号:US12170044B2

    公开(公告)日:2024-12-17

    申请号:US18140529

    申请日:2023-04-27

    Applicant: Outward, Inc.

    Abstract: Two-dimensional compositing that preserves the curvatures of non-flat surfaces is disclosed. In some embodiments, a mapping is associated with a two-dimensional rendering that maps a potentially variable portion of the two-dimensional rendering to a canvas. The mapping is generated from a three-dimensional model of the potentially variable portion of the two-dimensional rendering. The potentially variable portion of the two-dimensional rendering is dynamically modified according to the mapping to reflect content comprising the canvas or edits received with respect to the canvas.

    MACHINE LEARNING BASED IMAGE ATTRIBUTE DETERMINATION

    公开(公告)号:US20240386654A1

    公开(公告)日:2024-11-21

    申请号:US18646510

    申请日:2024-04-25

    Applicant: Outward, Inc.

    Abstract: Techniques for machine learning based image attribute determination are disclosed. In some embodiments, one or more unknown attributes of a received image comprising a prescribed environment are determined using a machine learning based framework. The machine learning based framework is at least in part trained on image data sets comprising a model environment that substantially simulates the prescribed environment.

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