公开(公告)号：US09922051B2

公开(公告)日：2018-03-20

申请号：US15225908

申请日：2016-08-02

Applicant: Yahoo! Inc.

Inventor： Jia Li ,  Nadav Golbandi ,  XianXing Zhang

IPC: G06F17/30 ,  G06K9/46 ,  G06K9/62

CPC classification number: G06F17/30274 ,  G06F17/30253 ,  G06F17/30256 ,  G06F17/30687 ,  G06F17/30713 ,  G06K9/4642 ,  G06K9/6223 ,  G06K9/6226 ,  G06K9/6262

Abstract: Disclosed herein is a system and method that facilitate searching and/or browsing of images by clustering, or grouping, the images into a set of image clusters using facets, such as without limitation visual properties or visual characteristics, of the images, and representing each image cluster by a representative image selected for the image cluster. A map-reduce based probabilistic topic model may be used to identify one or more images belonging to each image cluster and update model parameters.

公开(公告)号：US20160342626A1

公开(公告)日：2016-11-24

申请号：US15225908

申请日：2016-08-02

Applicant: Yahoo! Inc.

Inventor： Jia Li ,  Nadav Golbandi ,  XianXing Zhang

IPC: G06F17/30 ,  G06K9/46 ,  G06K9/62

CPC classification number: G06F17/30274 ,  G06F17/30253 ,  G06F17/30256 ,  G06F17/30687 ,  G06F17/30713 ,  G06K9/4642 ,  G06K9/6223 ,  G06K9/6226 ,  G06K9/6262

Abstract: Disclosed herein is a system and method that facilitate searching and/or browsing of images by &lustering, or grouping, the images into a set of image clusters using facets, such as without limitation visual properties or visual characteristics, of the images, and representing each image cluster by a representative image selected for the image cluster. A map-reduce based probabilistic topic model may be used to identify one or more images belonging to each image cluster and update model parameters.

Abstract translation: 本文公开了一种系统和方法，其通过使用小平面（例如但不限于图像的视觉特性或视觉特征）将图像和图像分类或组合成一组图像簇来促进图像的搜索和/或浏览，并且表示每个图像 通过为图像集群选择的代表图像进行图像聚类。 可以使用基于地图缩减的概率主题模型来识别属于每个图像簇的一个或多个图像和更新模型参数。

公开(公告)号：US09411829B2

公开(公告)日：2016-08-09

申请号：US13913943

申请日：2013-06-10

Applicant: YAHOO! INC.

Inventor： Jia Li ,  Nadav Golbandi ,  XianXing Zhang

IPC: G06F17/30

CPC classification number: G06F17/30274 ,  G06F17/30253 ,  G06F17/30256 ,  G06F17/30687 ,  G06F17/30713 ,  G06K9/4642 ,  G06K9/6223 ,  G06K9/6226 ,  G06K9/6262

Abstract: Disclosed herein is a system and method that facilitate searching and/or browsing of images by clustering, or grouping, the images into a set of image clusters using facets, such as without limitation visual properties or visual characteristics, of the images, and representing each image cluster by a representative image selected for the image cluster. A map-reduce based probabilistic topic model may be used to identify one or more images belonging to each image cluster and update model parameters.

Abstract translation: 本文公开了一种系统和方法，其通过使用小平面（例如但不限于图像的视觉特性或视觉特征）将图像聚类或分组成一组图像群集来促进搜索和/或浏览图像，并且表示每个图像 通过为图像集群选择的代表图像进行图像聚类。 可以使用基于地图缩减的概率主题模型来识别属于每个图像簇的一个或多个图像和更新模型参数。

公开(公告)号：US20140363075A1

公开(公告)日：2014-12-11

申请号：US13913943

申请日：2013-06-10

Applicant: YAHOO! INC.

Inventor： Jia Li ,  Nadav Golbandi ,  XianXing Zhang

IPC: G06K9/62

CPC classification number: G06F17/30274 ,  G06F17/30253 ,  G06F17/30256 ,  G06F17/30687 ,  G06F17/30713 ,  G06K9/4642 ,  G06K9/6223 ,  G06K9/6226 ,  G06K9/6262

Abstract: Disclosed herein is a system and method that facilitate searching and/or browsing of images by clustering, or grouping, the images into a set of image clusters using facets, such as without limitation visual properties or visual characteristics, of the images, and representing each image cluster by a representative image selected for the image cluster. A map-reduce based probabilistic topic model may be used to identify one or more images belonging to each image cluster and update model parameters.

Abstract translation: 本文公开了一种系统和方法，其通过使用小平面（例如但不限于图像的视觉特性或视觉特征）将图像聚类或分组成一组图像群集来促进搜索和/或浏览图像，并且表示每个图像 通过为图像集群选择的代表图像进行图像聚类。 可以使用基于地图缩减的概率主题模型来识别属于每个图像簇的一个或多个图像和更新模型参数。