Restaurant-specific food logging from images

    公开(公告)号:US09659225B2

    公开(公告)日:2017-05-23

    申请号:US14179101

    申请日:2014-02-12

    Abstract: A “Food Logger” provides various approaches for learning or training one or more image-based models (referred to herein as “meal models”) of nutritional content of meals. This training is based on one or more datasets of images of meals in combination with “meal features” that describe various parameters of the meal. Examples of meal features include, but are not limited to, food type, meal contents, portion size, nutritional content (e.g., calories, vitamins, minerals, carbohydrates, protein, salt, etc.), food source (e.g., specific restaurants or restaurant chains, grocery stores, particular pre-packaged foods, school meals, meals prepared at home, etc.). Given the trained models, the Food Logger automatically provides estimates of nutritional information based on automated recognition of new images of meals provided by (or for) the user. This nutritional information is then used to enable a wide range of user-centric interactions relating to food consumed by individual users.

    RESTAURANT-SPECIFIC FOOD LOGGING FROM IMAGES
    2.
    发明申请
    RESTAURANT-SPECIFIC FOOD LOGGING FROM IMAGES 有权
    餐厅特定食物从图像记录

    公开(公告)号:US20150228062A1

    公开(公告)日:2015-08-13

    申请号:US14179101

    申请日:2014-02-12

    Abstract: A “Food Logger” provides various approaches for learning or training one or more image-based models (referred to herein as “meal models”) of nutritional content of meals. This training is based on one or more datasets of images of meals in combination with “meal features” that describe various parameters of the meal. Examples of meal features include, but are not limited to, food type, meal contents, portion size, nutritional content (e.g., calories, vitamins, minerals, carbohydrates, protein, salt, etc.), food source (e.g., specific restaurants or restaurant chains, grocery stores, particular pre-packaged foods, school meals, meals prepared at home, etc.). Given the trained models, the Food Logger automatically provides estimates of nutritional information based on automated recognition of new images of meals provided by (or for) the user. This nutritional information is then used to enable a wide range of user-centric interactions relating to food consumed by individual users.

    Abstract translation: “食物记录器”提供了用于学习或训练一种或多种基于图像的模型(这里称为“膳食模型”)的膳食营养含量的各种方法。 这项培训是基于餐饮图像的一个或多个数据集结合描述膳食的各种参数的“膳食特征”。 膳食特征的实例包括但不限于食物类型,膳食内容物,部分大小,营养含量(例如卡路里,维生素,矿物质,碳水化合物,蛋白质,盐等),食物来源(例如特定餐馆或 餐厅连锁店,杂货店,特定的预先包装的食物,学校用餐,在家准备的餐点等)。 根据训练有素的模型,食物记录器会自动提供营养信息的估计,方法是自动识别(或为用户提供)提供的膳食新图像。 然后,这种营养信息用于实现与各个用户消费的食物有关的广泛的以用户为中心的相互作用。

    Enhanced spatial impression for home audio
    6.
    发明授权
    Enhanced spatial impression for home audio 有权
    增强家庭音频的空间印象

    公开(公告)号:US09560445B2

    公开(公告)日:2017-01-31

    申请号:US14158796

    申请日:2014-01-18

    Abstract: Technologies pertaining to provision of customized audio to each listener in a plurality of listeners are described herein. A sensor outputs data that is indicative of locations of multiple listeners in an environment. The data is processed to determine locations and orientations of the respective heads of the multiple listener in the environment. Based on the locations and orientations of heads of the listeners in the environment, for each listener, respective customized audio signals are generated. The customized audio signals are transmitted to respective beamforming transducers. The beamforming transducers directionally output customized beams for the first listener and the second listener based upon the customized audio signals and locations of the heads of the listeners.

    Abstract translation: 在这里描述了在多个收听者中为每个收听者提供定制音频的技术。 传感器输出指示环境中多个听众的位置的数据。 处理数据以确定环境中多个收听者的相应头部的位置和方向。 基于环境中听众的头部的位置和方向,对于每个听众,生成相应的定制音频信号。 定制的音频信号被发送到相应的波束成形换能器。 波束形成传感器基于定制的音频信号和收听者的头部的位置而定向地输出用于第一听众和第二听众的定制波束。

    ENHANCED SPATIAL IMPRESSION FOR HOME AUDIO
    8.
    发明申请
    ENHANCED SPATIAL IMPRESSION FOR HOME AUDIO 有权
    家庭音响的增强空间印象

    公开(公告)号:US20150208166A1

    公开(公告)日:2015-07-23

    申请号:US14158796

    申请日:2014-01-18

    Abstract: Technologies pertaining to provision of customized audio to each listener in a plurality of listeners are described herein. A sensor outputs data that is indicative of locations of multiple listeners in an environment. The data is processed to determine locations and orientations of the respective heads of the multiple listener in the environment. Based on the locations and orientations of heads of the listeners in the environment, for each listener, respective customized audio signals are generated. The customized audio signals are transmitted to respective beamforming transducers. The beamforming transducers directionally output customized beams for the first listener and the second listener based upon the customized audio signals and locations of the heads of the listeners.

    Abstract translation: 在这里描述了在多个收听者中为每个收听者提供定制音频的技术。 传感器输出指示环境中多个听众的位置的数据。 处理数据以确定环境中多个收听者的相应头部的位置和方向。 基于环境中听众的头部的位置和方向,对于每个听众,生成相应的定制音频信号。 定制的音频信号被发送到相应的波束成形换能器。 波束形成传感器基于定制的音频信号和收听者的头部的位置而定向地输出用于第一听众和第二听众的定制波束。

    ADAPTING AUDIO BASED UPON DETECTED ENVIRONMENTAL ACCOUSTICS
    9.
    发明申请
    ADAPTING AUDIO BASED UPON DETECTED ENVIRONMENTAL ACCOUSTICS 审中-公开
    适应基于环境监测的音频

    公开(公告)号:US20150179181A1

    公开(公告)日:2015-06-25

    申请号:US14136713

    申请日:2013-12-20

    CPC classification number: G10L19/012 G10L19/265 H04S7/301 H04S7/305

    Abstract: Technologies pertaining to improving an auditory experience of a listener are described. Audio is modified based upon noise generated by noise sources in an environment. A microphone generates a signal that is representative of noise in the environment, and the signal is processed to identify peak frequencies therein. When a key frequency of the audio is proximate to a peak frequency in the noise, the audio is modified to improve the listener's perception of the audio.

    Abstract translation: 描述了改善聆听者听觉体验的技术。 基于环境中的噪声源产生的噪声对音频进行修改。 麦克风产生代表环境中的噪声的信号,并处理信号以识别其中的峰值频率。 当音频的关键频率接近噪声中的峰值频率时,修改音频以改善听众对音频的感知。

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