公开(公告)号：US08977012B2

公开(公告)日：2015-03-10

申请号：US13665449

申请日：2012-10-31

Applicant: Google Inc.

Inventor： Sergey Ioffe ,  Troy Chinen ,  Vivek Kwatra ,  Hui Fang ,  Yichang Shih

IPC: G06K9/00 ,  G06K9/40

CPC classification number: G06T5/002 ,  G06K9/00221 ,  G06K9/00261 ,  G06K9/40 ,  G06T5/005 ,  G06T5/20 ,  G06T5/50 ,  G06T2207/10004 ,  G06T2207/10016 ,  G06T2207/20028 ,  G06T2207/20182 ,  G06T2207/20216 ,  G06T2207/30201

Abstract: A method, computer program product, and computer system for identifying a first portion of a facial image in a first image, wherein the first portion includes noise. A corresponding portion of the facial image is identified in a second image, wherein the corresponding portion includes less noise than the first portion. One or more filter parameters of the first portion are determined based upon, at least in part, the first portion and the corresponding portion. At least a portion of the noise from the first portion is smoothed based upon, at least in part, the one or more filter parameters. At least a portion of face specific details from the corresponding portion is added to the first portion.

Abstract translation: 一种用于识别第一图像中的面部图像的第一部分的方法，计算机程序产品和计算机系统，其中所述第一部分包括噪声。 面部图像的相应部分在第二图像中被识别，其中对应部分包括比第一部分少的噪声。 至少部分地基于第一部分和对应部分来确定第一部分的一个或多个过滤器参数。 至少部分地基于一个或多个过滤器参数来平滑来自第一部分的噪声的至少一部分。 来自相应部分的面部特定细节的至少一部分被添加到第一部分。

公开(公告)号：US08897487B1

公开(公告)日：2014-11-25

申请号：US14262238

申请日：2014-04-25

Applicant: Google Inc.

Inventor： Sergey Ioffe

IPC: G06K9/00 ,  G06T1/00 ,  G06F17/00

CPC classification number: G06T1/0021 ,  G06K9/00744 ,  G06K9/629 ,  G06T2201/0064

Abstract: Systems and methods for facilitating combining media fingerprinters are provided. In one implementation, a system can include a memory and a microprocessor. The system can also include: a communication component that receives media; a wavelet-based hash generation component that generates a plurality of hashes based on wavelet descriptors associated with the media; a local features information generation component that generates local descriptors associated with the media; a grouping component that groups the plurality of hashes into two or more subgroups, and generates a combined group of descriptors. The combined group of descriptors can include quantized local descriptors and groups of hashes. The system can also include a hash generation component that hashes the combined group of descriptors.

Abstract translation: 提供了有助于组合媒体指纹打印机的系统和方法。 在一个实现中，系统可以包括存储器和微处理器。 该系统还可以包括：接收媒体的通信组件; 基于小波的散列生成组件，其基于与所述媒体相关联的小波描述符来生成多个散列; 本地特征信息生成组件，其生成与媒体相关联的本地描述符; 分组组件，其将所述多个散列分组成两个或更多个子组，并且生成组合的描述符组。 组合描述符组可以包括量化的局部描述符和散列组。 该系统还可以包括哈希生成组件，该组件散列组合的描述符组。

公开(公告)号：US20140118390A1

公开(公告)日：2014-05-01

申请号：US13661425

申请日：2012-10-26

Applicant: GOOGLE INC.

Inventor： Sergey Ioffe ,  Vivek Kwatra ,  Matthias Grundmann

IPC: G09G5/00

CPC classification number: G06F3/0481 ,  G06F17/30056 ,  G06F17/30265

Abstract: A computer-implemented method, computer program product, and computing system is provided for interacting with images having similar content. In an embodiment, a method may include identifying a plurality of photographs as including a common characteristic. The method may also include generating a flipbook media item including the plurality of photographs. The method may further include associating one or more interactive control features with the flipbook media item.

Abstract translation: 提供了计算机实现的方法，计算机程序产品和计算系统，用于与具有相似内容的图像进行交互。 在一个实施例中，方法可以包括将多个照片识别为包括共同特征。 该方法还可以包括生成包括多张照片的翻页媒体项目。 该方法可以进一步包括将一个或多个交互式控制特征与翻录媒体项目相关联。

公开(公告)号：US20140105505A1

公开(公告)日：2014-04-17

申请号：US13832122

申请日：2013-03-15

Applicant: GOOGLE INC.

Inventor： Sergey Ioffe ,  Mohamed Aly ,  Charles J. Rosenberg

IPC: G06F17/30

CPC classification number: G06F17/30247 ,  G06F17/3025 ,  G06K9/4676 ,  G06K9/6202

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining image search results. One of the methods includes generating a plurality of feature vectors for each image in a collection of images, wherein each feature vector is associated with an image tile of an image, wherein each feature vector corresponds to one of a plurality of predetermined visual words. All images in the collection of images that share at least a threshold number of matching visual words associated with matching image tiles are classified as near-duplicate images.

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，用于确定图像搜索结果。 一种方法包括为图像集合中的每个图像生成多个特征向量，其中每个特征向量与图像的图像块相关联，其中每个特征向量对应于多个预定视觉词中的一个。 共享与匹配的图像块相关联的至少阈值数量的匹配视觉词的图像集合中的所有图像被分类为近似重复的图像。