Hash codes for images
    225.
    发明授权

    公开(公告)号:US09734436B2

    公开(公告)日:2017-08-15

    申请号:US14732463

    申请日:2015-06-05

    Inventor: Yadong Mu Zhu Liu

    Abstract: A method includes receiving, at a neural network, a subset of images of a plurality of images of a training image set. The method includes training the neural network by iteratively adjusting parameters of the neural network based on concurrent application of multiple loss functions to the subset of images. The multiple loss functions include a classification loss function and a hashing loss function. The classification loss function is associated with an image classification function that extracts image features from an image. The hashing loss function is associated with a hashing function that generates a hash code for the image.

    DYNAMIC IMAGE RECOGNITION MODEL UPDATES
    228.
    发明申请
    DYNAMIC IMAGE RECOGNITION MODEL UPDATES 审中-公开
    动态图像识别模型更新

    公开(公告)号:US20160163029A1

    公开(公告)日:2016-06-09

    申请号:US14561353

    申请日:2014-12-05

    Abstract: A method includes receiving first image data at an electronic device, and performing a first image recognition operation on the first image data based on a first image recognition model stored in a memory of the electronic device. The method may include sending an image recognition model update request from the electronic device to a server, in response to determining that a result of the first image recognition operation fails to satisfy a confidence threshold. The method includes receiving image recognition model update information from the server and updating the first image recognition model based on the image recognition model update information to generate a second image recognition model. The method further includes performing a second image recognition operation based on the second image recognition model.

    Abstract translation: 一种方法包括在电子设备处接收第一图像数据,并且基于存储在电子设备的存储器中的第一图像识别模型对第一图像数据执行第一图像识别操作。 响应于确定第一图像识别操作的结果不能满足置信阈值,该方法可以包括从电子设备向服务器发送图像识别模型更新请求。 该方法包括从服务器接收图像识别模型更新信息,并且基于图像识别模型更新信息更新第一图像识别模型以生成第二图像识别模型。 该方法还包括基于第二图像识别模型执行第二图像识别操作。

    System and method for adaptive content rendition
    229.
    发明授权
    System and method for adaptive content rendition 有权
    适应性内容再现的系统和方法

    公开(公告)号:US09356983B2

    公开(公告)日:2016-05-31

    申请号:US14330692

    申请日:2014-07-14

    Abstract: Disclosed herein are systems, methods, and computer readable-media for adaptive content rendition, the method comprising receiving media content for playback to a user, adapting the media content for playback on a first device in the user's first location, receiving a notification when the user changes to a second location, adapting the media content for playback on a second device in the second location, and transitioning media content playback from the first device to second device. One aspect conserves energy by optionally turning off the first device after transitioning to the second device. Another aspect includes playback devices that are “dumb devices” which receive media content already prepared for playback, “smart devices” which receive media content in a less than ready form and prepare the media content for playback, or hybrid smart and dumb devices. A single device may be substituted by a plurality of devices. Adapting the media content for playback is based on a user profile storing user preferences and/or usage history in one aspect.

    Abstract translation: 本文公开了用于自适应内容再现的系统,方法和计算机可读介质,所述方法包括:接收用于播放的用户的媒体内容,使所述媒体内容适应于所述用户的第一位置中的第一设备上的播放, 用户改变到第二位置,使媒体内容适应在第二位置中的第二设备上播放,以及将媒体内容从第一设备重播转换到第二设备。 通过在转换到第二设备之后可选地关闭第一设备来节省能量。 另一方面包括作为接收已经准备好重放的媒体内容的“哑设备”的回放设备,以较不准备的形式接收媒体内容并准备用于回放的媒体内容的智能设备,或混合智能和哑设备。 单个设备可以由多个设备代替。 适应媒体内容进行播放是基于在一个方面中存储用户偏好和/或使用历史的用户简档。

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