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公开(公告)号：US09721190B2
公开(公告)日：2017-08-01
申请号：US14933256
申请日：2015-11-05
Applicant: Google Inc.
Inventor： Sudheendra Vijayanarasimhan , Jay Yagnik
CPC classification number: G06K9/6267 , G06K9/66 , G06N3/04 , G06N3/082
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classification using a neural network. One of the methods for processing an input through each of multiple layers of a neural network to generate an output, wherein each of the multiple layers of the neural network includes a respective multiple nodes includes for a particular layer of the multiple layers: receiving, by a classification system, an activation vector as input for the particular layer, selecting one or more nodes in the particular layer using the activation vector and a hash table that maps numeric values to nodes in the particular layer, and processing the activation vector using the selected nodes to generate an output for the particular layer.
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公开(公告)号：US09235552B1
公开(公告)日：2016-01-12
申请号：US13705951
申请日：2012-12-05
Applicant: Google Inc.
Inventor： Douglas Eck , Jay Yagnik
IPC: G06F17/00
CPC classification number: G06F17/00 , G10H1/0041 , G10H2240/175 , G10H2240/211 , G10H2240/251
Abstract: Techniques are disclosed for producing a collaborative recording of an audio event. An online server or service identifies participating mobile devices with recording capabilities that are available for recording at least a portion of the audio event. The online server or service determines the locations of the potential participating mobile devices, and identifies ranges of frequencies to be recorded by each of the participating mobile devices. The individual recordings are then compiled into a final collaborative recording.
Abstract translation: 公开了用于产生音频事件的协同记录的技术。 在线服务器或服务识别具有可用于记录音频事件的至少一部分的记录功能的参与移动设备。 在线服务器或服务确定潜在参与移动设备的位置，并且识别由每个参与移动设备记录的频率范围。 然后，个别录音将被编译成最终的合作录音。
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公开(公告)号：US09177208B2
公开(公告)日：2015-11-03
申请号：US13633062
申请日：2012-10-01
Applicant: Google Inc.
Inventor： Rahul Sukthankar , Jay Yagnik
CPC classification number: G06K9/00744 , G06F17/3079 , G06F17/3082 , G06K9/00718 , G06T9/00
Abstract: A volume identification system identifies a set of unlabeled spatio-temporal volumes within each of a set of videos, each volume representing a distinct object or action. The volume identification system further determines, for each of the videos, a set of volume-level features characterizing the volume as a whole. In one embodiment, the features are based on a codebook and describe the temporal and spatial relationships of different codebook entries of the volume. The volume identification system uses the volume-level features, in conjunction with existing labels assigned to the videos as a whole, to label with high confidence some subset of the identified volumes, e.g., by employing consistency learning or training and application of weak volume classifiers. The labeled volumes may be used for a number of applications, such as training strong volume classifiers, improving video search (including locating individual volumes), and creating composite videos based on identified volumes.
Abstract translation: 体积识别系统识别一组视频中的每一个中的一组未标记的时空体积，每个体积表示不同的对象或动作。 音量识别系统进一步为每个视频确定表征整个音量的一组音量级特征。 在一个实施例中，特征基于码本并且描述卷的不同码本条目的时间和空间关系。 音量识别系统使用音量级特征，结合分配给整个视频的现有标签，以高度置信的方式标识所识别的体积的一些子集，例如通过采用一致性学习或训练和应用弱音量分类器 。 标记的卷可以用于许多应用，例如训练强大的分类器，改进视频搜索（包括定位各个卷），以及基于识别的卷创建复合视频。
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公开(公告)号：US09143784B2
公开(公告)日：2015-09-22
申请号：US14025768
申请日：2013-09-12
Applicant: Google Inc.
Inventor： Jay Yagnik , Sergey Ioffe
CPC classification number: H04N19/60 , G06K9/00744
Abstract: This disclosure relates to transformation invariant media matching. A fingerprinting component can generate a transformation invariant identifier for media content by adaptively encoding the relative ordering of signal markers in media content. The signal markers can be adaptively encoded via reference point geometry, or ratio histograms. An identification component compares the identifier against a set of identifiers for known media content, and the media content can be matched or identified as a function of the comparison.
Abstract translation: 本公开涉及变换不变媒体匹配。 指纹分量可以通过对媒体内容中的信号标记的相对排序进行自适应编码来生成媒体内容的变换不变标识符。 信号标记可以通过参考点几何或比例直方图进行自适应编码。 识别部件将标识符与已知媒体内容的一组标识符进行比较，并且媒体内容可以作为比较的函数进行匹配或标识。
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公开(公告)号：US08996527B1
公开(公告)日：2015-03-31
申请号：US14196463
申请日：2014-03-04
Applicant: Google Inc.
Inventor： King Hong Thomas Leung , Jay Yagnik
IPC: G06F17/30
CPC classification number: G06F17/30268 , G06F17/30265
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for clustering images. In one aspect a system includes one or more computers configured to, for each of a plurality of digital images, associate extrinsic image-related information with each individual image, the extrinsic image-related information including text information and co-click data for the individual image, assign images from the plurality of images to one or more of the clusters of images based on the extrinsic information associated with each of the plurality of images, receive in the search system a user query from a user device, identify by operation of the search system one or more clusters of images that match the query, and provide one or more cluster results, where each cluster result provides information about an identified cluster.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的用于聚类图像的计算机程序。 在一个方面，一种系统包括：一个或多个计算机，被配置为针对多个数字图像中的每一个，将每个独立图像相关联的外在图像相关信息，所述外在图像相关信息包括个体的文本信息和共同点击数据 图像，基于与所述多个图像中的每一个相关联的所述外在信息，将来自所述多个图像的图像分配给所述图像群集中的一个或多个，在所述搜索系统中从用户装置接收用户查询， 搜索系统与查询匹配的一个或多个图像集群，并提供一个或多个集群结果，其中每个集群结果提供关于所识别的集群的信息。
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Patent Agency Ranking
公开(公告)号：US20140016706A1
公开(公告)日：2014-01-16
申请号：US14025768
申请日：2013-09-12
Applicant: Google Inc.
Inventor： Jay Yagnik , Sergey Ioffe
IPC: H04N7/30
CPC classification number: H04N19/60 , G06K9/00744
Abstract: This disclosure relates to transformation invariant media matching. A fingerprinting component can generate a transformation invariant identifier for media content by adaptively encoding the relative ordering of signal markers in media content. The signal markers can be adaptively encoded via reference point geometry, or ratio histograms. An identification component compares the identifier against a set of identifiers for known media content, and the media content can be matched or identified as a function of the comparison.
Abstract translation: 本公开涉及变换不变媒体匹配。 指纹分量可以通过对媒体内容中的信号标记的相对排序进行自适应编码来生成媒体内容的变换不变标识符。 信号标记可以通过参考点几何或比例直方图进行自适应编码。 识别部件将标识符与已知媒体内容的一组标识符进行比较，并且媒体内容可以作为比较的函数进行匹配或标识。
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公开(公告)号：US20190147365A1
公开(公告)日：2019-05-16
申请号：US14830579
申请日：2015-08-19
Applicant: Google Inc.
Inventor： Jay Yagnik
IPC: G06N99/00
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating outputs from received inputs using deep vector table machine (VTM) systems. One of the methods includes receiving an input; processing the input through each of a plurality of VTM layers to generate an alternative representation of the input, wherein the plurality of VTM layers are arranged in a sequence from a lowest VTM layer to a highest VTM layer, and wherein each VTM layer is configured to: receive an input representation of the input, generate a sparse representation of the input representation in accordance with a set of sparse parameter vectors for the VTM layer, and generate an output representation from the sparse representation in accordance with a set of output parameter vectors for the VTM layer; and processing the alternative representation of the input through an output layer to generate an output for the input.
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公开(公告)号：US20190013047A1
公开(公告)日：2019-01-10
申请号：US14675408
申请日：2015-03-31
Applicant: Google Inc.
Inventor： Arthur Wait , Krishna Bharat , Caroline Rebecca Pantofaru , Christian Frueh , Matthias Grundmann , Jay Yagnik , Ryan Michael Hickman
Abstract: A plurality of videos is analyzed (in real time or after the videos are generated) to identify interesting portions of the videos. The interesting portions are identified based on one or more of the people depicted in the videos, the objects depicted in the videos, the motion of objects and/or people in the videos, and the locations where people depicted in the videos are looking. The interesting portions are combined to generate a content item.
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公开(公告)号：US09619521B1
公开(公告)日：2017-04-11
申请号：US14142976
申请日：2013-12-30
Applicant: Google Inc.
Inventor： Rahul Sukthankar , Jay Yagnik
CPC classification number: G06N99/005 , G06F17/3079
Abstract: A segmentation annotation technique for media items is disclosed herein. Given a weakly labeled media item, spatiotemporal masks may be generated for each of the concepts with which it is labeled. Segments may be ranked by the likelihood that they correspond to a given concept. The ranked concept segments may be utilized to train a classifier that, in turn, may be used to classify untagged or new media items.
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公开(公告)号：US20160224826A1
公开(公告)日：2016-08-04
申请号：US14718212
申请日：2015-05-21
Applicant: Google Inc.
Inventor： Jay Yagnik
CPC classification number: G06K9/00288 , G06F17/30247 , G06F17/30256 , G06K9/6256
Abstract: A method includes identifying a named entity, retrieving images associated with the named entity, and using a face detection algorithm to perform face detection on the retrieved images to detect faces in the retrieved images. At least one representative face image from the retrieved images is identified, and the representative face image is used to identify one or more additional images representing the at least one named entity.
Abstract translation: 一种方法包括识别命名实体，检索与命名实体相关联的图像，以及使用面部检测算法对检索到的图像执行面部检测，以检测检索到的图像中的面部。 识别来自检索到的图像的至少一个代表性面部图像，并且使用代表性面部图像来识别表示至少一个命名实体的一个或多个附加图像。
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