公开(公告)号：US08965891B1

公开(公告)日：2015-02-24

申请号：US14083043

申请日：2013-11-18

Applicant: Google Inc.

Inventor： Samy Bengio ,  Gal Chechik ,  Sergey Ioffe ,  Jay Yagnik

IPC: G06F17/30 ,  G06K9/66 ,  G06K9/62

CPC classification number: G06K9/66 ,  G06F17/30244 ,  G06F17/3053 ,  G06K9/6267 ,  Y10S707/913 ,  Y10S707/915

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training scoring models. One method includes storing data identifying a plurality of positive and a plurality of negative training images for a query. The method further includes selecting a first image from either the positive group of images or the negative group of images, and applying a scoring model to the first image. The method further includes selecting a plurality of candidate images from the other group of images, applying the scoring model to each of the candidate images, and then selecting a second image from the candidate images according to scores for the images. The method further includes determining that the scores for the first image and the second image fail to satisfy a criterion, updating the scoring model, and storing the updated scoring model.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于训练评分模型。 一种方法包括存储识别用于查询的多个正训练图像和多个负训练图像的数据。 该方法还包括从图像的正组或负图像组中选择第一图像，以及将评分模型应用于第一图像。 该方法还包括从另一组图像中选择多个候选图像，将评分模型应用于每个候选图像，然后根据图像的分数从候选图像中选择第二图像。 该方法还包括确定第一图像和第二图像的分数不能满足标准，更新评分模型，并存储更新的评分模型。

公开(公告)号：US08805812B1

公开(公告)日：2014-08-12

申请号：US13867937

申请日：2013-04-22

Applicant: Google Inc.

Inventor： Gal Chechik ,  Samy Bengio ,  Varun Sharma

IPC: G06F17/30

CPC classification number: G06K9/66 ,  G06F17/30247 ,  G06F17/30265 ,  G06K9/6212 ,  G06K9/6276

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying similar images. In some implementations, a method is provided that includes receiving a collection of images and data associated with each image in the collection of images; generating a sparse feature representation for each image in the collection of images; and training an image similarity function using image triplets sampled from the collection of images and corresponding sparse feature representations.

Abstract translation: 方法，系统和装置，包括编码在计算机存储介质上的用于识别相似图像的计算机程序。 在一些实施方式中，提供了一种方法，其包括接收图像集合中与图像集合中的每个图像相关联的图像和数据的集合; 为图像集合中的每个图像生成稀疏特征表示; 并使用从图像集合和相应的稀疏特征表示中采样的图像三元组训练图像相似度函数。

公开(公告)号：US20140152847A1

公开(公告)日：2014-06-05

申请号：US13692994

申请日：2012-12-03

Applicant: GOOGLE INC.

Inventor： Asaf Zomet ,  Michael Shynar ,  Dvir Keysar ,  Gal Chechik

IPC: G06Q30/06 ,  H04N5/232

CPC classification number: G06Q30/0629

Abstract: Systems and methods are described herein for comparing products in a marketplace. An image or video of the products may be captured using a camera associated with a mobile device. User input may be received to select two or more products within the image. Machine vision techniques may be applied to specifically identify the selected products. Product features associated with each of the identified products may be retrieved and formatted into a comparison of product features. The comparison may be presented to the user.

Abstract translation: 这里描述了用于比较市场中的产品的系统和方法。 可以使用与移动设备相关联的摄像机来捕获产品的图像或视频。 可以接收用户输入以选择图像内的两个或更多个产品。 可以应用机器视觉技术来具体识别所选择的产品。 与每个识别的产品相关联的产品特征可以被检索和格式化成产品特征的比较。 该比较可以呈现给用户。