公开(公告)号：US08873838B2

公开(公告)日：2014-10-28

申请号：US13804257

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Mustafa Suleyman ,  Benjamin Kenneth Coppin ,  Marek Barwinski ,  Arun Nair ,  Andrei-Alexandru Rusu ,  Chia-Yueh Carlton Chu

IPC: G06K9/62

CPC classification number: G06K9/6217 ,  G06K9/00362 ,  G06K9/4628 ,  G06N3/0454 ,  G06N3/084

Abstract: The present invention relates to a method and system for characterizing an image. The characterization may then be used to conduct a search for similar images, for example using a learning system trained using previously characterized images. A face may be identified within the image and a subsection extracted from said image which does not contain said face. At least one fixed size patch is taken from said extracted subsection; and input into said learning network to characterize said image.

Abstract translation: 本发明涉及一种用于表征图像的方法和系统。 然后，可以使用表征来进行类似图像的搜索，例如使用使用先前描述的图像训练的学习系统。 可以在图像内识别面部和从不包含所述脸部的所述图像提取的子部分。 从所述提取的子段中取出至少一个固定大小的补丁; 并输入到所述学习网络中以表征所述图像。

公开(公告)号：US20170337464A1

公开(公告)日：2017-11-23

申请号：US15396319

申请日：2016-12-30

Applicant: Google Inc.

Inventor： Neil Charles Rabinowitz ,  Guillaume Desjardins ,  Andrei-Alexandru Rusu ,  Koray Kavukcuoglu ,  Raia Thais Hadsell ,  Razvan Pascanu ,  James Kirkpatrick ,  Hubert Josef Soyer

IPC: G06N3/04 ,  G06N3/08 ,  G06F17/16

CPC classification number: G06F17/16 ,  G06N3/0454

Abstract: Methods and systems for performing a sequence of machine learning tasks. One system includes a sequence of deep neural networks (DNNs), including: a first DNN corresponding to a first machine learning task, wherein the first DNN comprises a first plurality of indexed layers, and each layer in the first plurality of indexed layers is configured to receive a respective layer input and process the layer input to generate a respective layer output; and one or more subsequent DNNs corresponding to one or more respective machine learning tasks, wherein each subsequent DNN comprises a respective plurality of indexed layers, and each layer in a respective plurality of indexed layers with index greater than one receives input from a preceding layer of the respective subsequent DNN, and one or more preceding layers of respective preceding DNNs, wherein a preceding layer is a layer whose index is one less than the current index.

公开(公告)号：US20140270488A1

公开(公告)日：2014-09-18

申请号：US13804257

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Mustafa Suleyman ,  Benjamin Kenneth Coppin ,  Marek Barwinski ,  Arun Nair ,  Andrei-Alexandru Rusu ,  Chia-Yueh Carlton Chu

IPC: G06K9/62

CPC classification number: G06K9/6217 ,  G06K9/00362 ,  G06K9/4628 ,  G06N3/0454 ,  G06N3/084

Abstract: The present invention relates to a method and system for characterizing an image. The characterization may then be used to conduct a search for similar images, for example using a learning system trained using previously characterized images. A face may be identified within the image and a subsection extracted from said image which does not contain said face. At least one fixed size patch is taken from said extracted subsection; and input into said learning network to characterize said image.

Abstract translation: 本发明涉及一种用于表征图像的方法和系统。 然后，可以使用表征来进行类似图像的搜索，例如使用使用先前描述的图像训练的学习系统。 可以在图像内识别面部和从不包含所述脸部的所述图像提取的子部分。 从所述提取的子段中取出至少一个固定大小的补丁; 并输入到所述学习网络中以表征所述图像。