公开(公告)号：US20150062151A1

公开(公告)日：2015-03-05

申请号：US14014592

申请日：2013-08-30

Applicant: Google Inc.

Inventor： David Marwood

IPC: G06T11/00

CPC classification number: G06T5/008 ,  H04N1/6005 ,  H04N1/6027

Abstract: In one aspect, a computer-implemented method for adjusting pixel saturation may generally include accessing, by one or more computing devices, a target distribution function associated with at least one target image and an input distribution function associated with at least one input image. The target distribution function may define a target probability for a pixel saturation of each pixel within the target image(s). The input distribution function may define an input probability for an initial saturation value of each pixel within the input image(s), with the input image(s) differing from the target image(s). The method may also include associating, by the computing device(s), the initial saturation value of each pixel within the input image(s) with a target saturation value based on the input and target distribution functions and adjusting, by the computing device(s), the initial saturation value of each pixel within the input image(s) to the corresponding target saturation value.

Abstract translation: 一方面，用于调整像素饱和度的计算机实现的方法通常可以包括由一个或多个计算设备访问与至少一个目标图像相关联的目标分布函数和与至少一个输入图像相关联的输入分布函数。 目标分布函数可以定义目标图像内的每个像素的像素饱和度的目标概率。 输入分布函数可以定义输入图像中的每个像素的初始饱和值的输入概率，其中输入图像与目标图像不同。 该方法还可以包括通过计算设备将输入图像中的每个像素的初始饱和度值与基于输入和目标分布函数的目标饱和度值相关联，并由计算设备（ s），输入图像内的每个像素的初始饱和度值到相应的目标饱和度值。

公开(公告)号：US08914357B1

公开(公告)日：2014-12-16

申请号：US13913340

申请日：2013-06-07

Applicant: Google Inc.

Inventor： Rohan Seth ,  Joshua J. Sacks ,  Michele Covell ,  Michael Chu ,  Shumeet Baluja ,  David Marwood

IPC: G06F17/30

CPC classification number: G06F17/30477 ,  G06F17/3087

Abstract: Systems and methods are provided for mapping keywords to geographic features. In some aspects, a method includes identifying location keywords associated with granular locations and identifying geographic features associated with an area of interest that includes the granular locations. For each geographic feature, the method includes determining geo data for the geographic feature, forming a set of granular locations that is associated with the geographic feature using the determined geo data, and aggregating a set of location keywords from the identified location keywords. The set of location keywords is associated with the set of granular locations to form a keyword mapping for the geographic feature. The method includes receiving an indication of a geographic location associated with a user, determining a first geographic feature that includes the geographic location, and targeting content for delivery to the user using a corresponding keyword mapping for the determined first geographic feature.

Abstract translation: 提供了将关键字映射到地理特征的系统和方法。 在一些方面，一种方法包括识别与粒度位置相关联的位置关键字，并且识别与包括粒状位置的感兴趣区域相关联的地理特征。 对于每个地理特征，所述方法包括确定所述地理特征的地理数据，使用所确定的地理数据形成与所述地理特征相关联的一组细粒度位置，以及从所识别的位置关键词聚集一组位置关键词。 位置关键字集合与粒度位置集合相关联，以形成地理要素的关键字映射。 所述方法包括：接收与用户相关联的地理位置的指示，确定包括所述地理位置的第一地理特征，以及使用针对所确定的第一地理特征的相应关键字映射来定位用于传递给所述用户的内容。