公开(公告)号：US20160246767A1

公开(公告)日：2016-08-25

申请号：US14134784

申请日：2013-12-19

Applicant: Google Inc.

Inventor： Ameesh Makadia ,  Andrew Logan Harp ,  Anthony Gerald Francis

IPC: G06F17/24 ,  G06T17/10

CPC classification number: G06T17/10 ,  G06T19/00 ,  G06T2219/004

Abstract: Methods and systems for interacting with multiple three-dimensional (3D) object data models are provided. An example method may involve receiving a plurality of three-dimensional (3D) object data models that represent objects associated with a given category. The plurality of 3D object data models may include one or more annotated parts. The method may also involve receiving a candidate 3D object data model that is associated with the given category of objects. The candidate 3D object data model may include one or more un-annotated parts. The method may additionally involve, based on a shape and an appearance of the one or more annotated parts and spatial-layout information that defines how the one or more annotated parts are spatially arranged, applying an annotation of a respective part of a respective 3D object data model to a corresponding part of the candidate 3D object data model.

Abstract translation: 提供了与多个三维（3D）对象数据模型交互的方法和系统。 示例性方法可以涉及接收表示与给定类别相关联的对象的多个三维（3D）对象数据模型。 多个3D对象数据模型可以包括一个或多个注释部分。 该方法还可以包括接收与给定类别的对象相关联的候选3D对象数据模型。 候选3D对象数据模型可以包括一个或多个未注释的部分。 该方法还可以基于一个或多个注释部分的形状和外观以及定义如何一个或多个注释部分在空间上排列的空间布局信息，应用相应3D对象的相应部分的注释 数据模型到候选3D对象数据模型的对应部分。

公开(公告)号：US20150161174A1

公开(公告)日：2015-06-11

申请号：US14330195

申请日：2014-07-14

Applicant: Google Inc.

Inventor： Sanjiv Kumar ,  Henry Allan Rowley ,  Ameesh Makadia

IPC: G06F17/30

CPC classification number: G06F17/30274 ,  G06F17/30247 ,  G06K9/6215 ,  G06K9/6224 ,  G06K2209/27

Abstract: Methods, systems, and apparatus, including computer program products, for ranking search results for queries. The method includes calculating a visual similarity score for one or more pairs of images in a plurality of images based on visual features of images in each of the one or more pairs; building a graph of images by linking each of one or more images in the plurality of images to one or more nearest neighbor images based on the visual similarity scores; associating a respective score with each of one or more images in the graph based on data indicative of user behavior relative to the image as a search result for a query; and determining a new score for each of one or more images in the graph based on the respective score of the image, and the respective scores of one or more nearest neighbors to the image.

Abstract translation: 方法，系统和装置，包括计算机程序产品，用于对查询的搜索结果进行排名。 该方法包括基于一个或多个对中的每一个中的图像的视觉特征来计算多个图像中的一对或多对图像的视觉相似性分数; 通过基于所述视觉相似性得分将所述多个图像中的一个或多个图像的每一个链接到一个或多个最近邻图像来构建图像的图; 基于表示用户相对于图像的行为的数据作为查询的搜索结果，将各个分数与图中的一个或多个图像中的每一个相关联; 以及基于所述图像的相应分数以及所述图像的一个或多个最近邻居的各个分数来确定所述图中的一个或多个图像中的每一个的新分数。

公开(公告)号：US20140330822A1

公开(公告)日：2014-11-06

申请号：US14336464

申请日：2014-07-21

Applicant: GOOGLE INC.

Inventor： Ameesh Makadia ,  Jason E. Weston

IPC: G06F17/30

CPC classification number: G06F16/435 ,  G06F16/433 ,  G06F16/434 ,  G06F16/438

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing joint image-audio queries. In one aspect, a method includes receiving, from a client device, a joint image-audio query including query image data and query audio data. Query image feature data is determined from the query image data. Query audio feature data is determined from the audio data. The query image feature data and the query audio feature data are provided to a joint image-audio relevance model trained to generate relevance scores for a plurality of resources, each resource including resource image data defining a resource image for the resource and text data defining resource text for the resource. Each relevance score is a measure of the relevance of corresponding resource to the joint image-audio query. Data defining search results indicating the order of the resources is provided to the client device.

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，用于处理联合图像 - 音频查询。 一方面，一种方法包括从客户端设备接收包括查询图像数据和查询音频数据的联合图像 - 音频查询。 从查询图像数据确定查询图像特征数据。 从音频数据确定查询音频特征数据。 将查询图像特征数据和查询音频特征数据提供给被训练为生成多个资源的相关性分数的联合图像 - 音频相关性模型，每个资源包括定义资源的资源图像的资源图像数据和定义资源的文本数据 资源的文本。 每个相关性分数是对应资源与联合图像 - 音频查询的相关性的度量。 将指示资源顺序的搜索结果的数据提供给客户端设备。