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    Crowdsourced audio normalization for presenting media content
    42.
    发明授权
    Crowdsourced audio normalization for presenting media content 有权

    公开(公告)号：US10466955B1

    公开(公告)日：2019-11-05

    申请号：US14313773

    申请日：2014-06-24

    Applicant: A9.com, Inc.

    Inventor： Douglas Ryan Gray ,  Colin Jon Taylor ,  Ming Du ,  Wei-Hong Chuang

    IPC: G06F3/16

    Abstract: Various embodiments provide methods and systems for providing a recommended volume level in presentation of media content. In some embodiments, volume adjustment events made by a user and/or similar users while watching media content can be detected and automatically recorded. The media content may include a plurality of segments. A normalized volume level for at least one segment of the media content can be determined by aggregating the recorded volume adjustment events corresponding to the at least one segment of the media content. When the media content is played back on a user device, at least some embodiments cause the at least one segment of the media content to be played back at a recommended volume level determined based at least in part upon one of the normalized audio level of the corresponding segment, the audio system of the user device, or historical data and personal profile of the user.

    Attribute similarity-based search
    44.
    发明授权
    Attribute similarity-based search 有权

    公开(公告)号：US10043109B1

    公开(公告)日：2018-08-07

    申请号：US15413083

    申请日：2017-01-23

    Applicant: A9.com, Inc.

    Inventor： Ming Du ,  Arnab Sanat Kumar Dhua ,  Douglas Ryan Gray ,  Maya Kabkab ,  Aishwarya Natesh ,  Colin Jon Taylor

    IPC: G06K9/62 ,  G06F17/30 ,  G06Q30/06 ,  G06N3/08 ,  G06N3/04 ,  G06K9/46 ,  G06K9/00 ,  G06K9/66

    Abstract: A set of training images is obtained by analyzing text associated with various images to identify images likely demonstrating a visual attribute. Localization can be used to extract patches corresponding to these attributes, which can then have features or feature vectors determined to train, for example, a convolutional neural network. A query image can be received and analyzed using the trained network to determine a set of items whose images demonstrate visual similarity to the query image at least with respect to the attribute of interest. The similarity can be output from the network or determined using distances in attribute space. Content for at least a determined number of highest ranked, or most similar, items can then be provided in response to the query image.

    Scalable image matching
    48.
    发明授权
    Scalable image matching 有权
    可扩展的图像匹配

    公开(公告)号：US09582735B2

    公开(公告)日：2017-02-28

    申请号：US15063050

    申请日：2016-03-07

    Applicant: A9.com, Inc.

    Inventor： Simant Dube ,  Sunil Ramesh ,  Xiaofan Lin ,  Arnab Sanat Kumar Dhua ,  Colin Jon Taylor ,  Jaishanker K. Pillai

    IPC: G06K9/00 ,  G06K9/62 ,  G06F17/30 ,  H04N19/90

    CPC classification number: G06K9/6215 ,  G06F17/30247 ,  G06K9/00523 ,  G06K9/4676 ,  G06K9/52 ,  G06K9/6206 ,  G06K9/6211 ,  G06K9/6218 ,  G06K9/6232 ,  G06K9/6256 ,  G06K9/6267 ,  G06K9/6269 ,  G06K9/6276 ,  G06K9/6277 ,  G06K9/6284 ,  G06K9/66 ,  G06K2209/19 ,  H04N19/426 ,  H04N19/90

    Abstract: Various embodiments may increase scalability of image representations stored in a database for use in image matching and retrieval. For example, a system providing image matching can obtain images of a number of inventory items, extract features from each image using a feature extraction algorithm, and transform the same into their feature descriptor representations. These feature descriptor representations can be subsequently stored and used to compare against query images submitted by users. Though the size of each feature descriptor representation isn't particularly large, the total number of these descriptors requires a substantial amount of storage space. Accordingly, feature descriptor representations are compressed to minimize storage and, in one example, machine learning can be used to compensate for information lost as a result of the compression.

    Abstract translation: 各种实施例可以增加存储在用于图像匹配和检索的数据库中的图像表示的可扩展性。 例如，提供图像匹配的系统可以获得多个库存物品的图像，使用特征提取算法从每个图像中提取特征，并将其转换成它们的特征描述符表示。 这些特征描述符表示可随后存储并用于与用户提交的查询图像进行比较。 虽然每个特征描述符表示的大小不是特别大，但是这些描述符的总数需要大量的存储空间。 因此，压缩特征描述符表示以最小化存储，并且在一个示例中，可以使用机器学习来补偿由于压缩而丢失的信息。

    SHARING LINKS IN AN AUGMENTED REALITY ENVIRONMENT
    49.
    发明申请
    SHARING LINKS IN AN AUGMENTED REALITY ENVIRONMENT 审中-公开
    在现实环境中共享链接

    公开(公告)号：US20170053451A1

    公开(公告)日：2017-02-23

    申请号：US15248944

    申请日：2016-08-26

    Applicant: A9.com, Inc.

    Inventor： David Creighton Mott ,  Arnab Sanat Kumar Dhua ,  Colin Jon Taylor ,  Scott Paul Robertson ,  William Brendel ,  Nityananda Jayadevaprakash ,  Kathy Wing Lam Ma

    IPC: G06T19/00 ,  G06F3/0481 ,  H04W4/02

    CPC classification number: G06T19/006 ,  G01C17/00 ,  G01C21/16 ,  G01S19/13 ,  G06F3/04815 ,  H04W4/025

    Abstract: Various embodiments provide methods and systems for users and business owners to share content and/or links to visual elements of a place at a physical location, and, in response to a user device pointing at a tagged place, causing the content and/or links to the visual elements of the place to be presented on the user device. In some embodiments, content and links are tied to specific objects at a place based at least in part upon one of Global Positioning System (GPS) locations, Inertial Measurement Unit (IMU) orientations, compass data, or one or more visual matching algorithms. Once the content and links are attached to the specific objects of the place, they can be discovered by a user with a portable device pointing at the specific objects in the real world.

    Abstract translation: 各种实施例提供了用于用户和企业所有者分享内容和/或链接到物理位置处的场所的视觉元素的方法和系统，并且响应于用户设备指向标记的地点，导致内容和/或链接 到在用户设备上呈现的地方的视觉元素。 在一些实施例中，内容和链接至少部分地基于全球定位系统（GPS）位置之一，惯性测量单元（IMU）取向，罗盘数据或一个或多个视觉匹配算法来连接到某个地点的特定对象。 一旦将内容和链接附加到该地点的特定对象，用户可以通过指向现实世界中特定对象的便携式设备发现它们。

    DETECTION OF CAST MEMBERS IN VIDEO CONTENT
    50.
    发明申请
    DETECTION OF CAST MEMBERS IN VIDEO CONTENT 审中-公开
    检视视频内容中的会员

    公开(公告)号：US20160358015A1

    公开(公告)日：2016-12-08

    申请号：US15238413

    申请日：2016-08-16

    Applicant: A9.com, Inc.

    Inventor： Arnab Sanat Kumar Dhua ,  Gautam Bhargava ,  Douglas Ryan Gray ,  Sunil Ramesh ,  Colin Jon Taylor

    IPC: G06K9/00

    CPC classification number: G06K9/00288 ,  G06F16/784 ,  G06K9/00221 ,  G06K9/00228 ,  G06K9/00261 ,  G06K9/00711

    Abstract: Disclosed are various embodiments for detection of cast members in video content such as movies, television shows, and other programs. Data indicating cast members who appear in a video program is obtained. Each cast member is associated with a reference image depicting a face of the cast member. A frame is obtained from the video program, and a face is detected in the frame. The frame can correspond to a scene in the video program. The detected face in the frame is recognized as being a particular cast member based at least in part on the reference image depicting the cast member. An association between the cast member and the frame is generated in response to the detected face in the frame being recognized as the cast member.

    Abstract translation: 公开了用于在诸如电影，电视节目和其他节目的视频内容中检测演员的各种实施例。 获取表示出现在视频节目中的演员的数据。 每个铸造构件与描绘铸件的表面的参考图像相关联。 从视频节目获得帧，并且在帧中检测到一个脸部。 该帧可以对应于视频节目中的场景。 至少部分地基于描绘铸件的参考图像将框架中检测到的面部识别为特定铸件。 响应于被识别为铸件的框架中检测到的面而产生铸造构件和框架之间的关联。

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