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    Audio identification using wavelet-based signatures
    11.
    发明授权
    Audio identification using wavelet-based signatures 有权
    使用基于小波的签名的音频识别

    公开(公告)号：US08977067B1

    公开(公告)日：2015-03-10

    申请号：US13854587

    申请日：2013-04-01

    Applicant: Google Inc.

    Inventor： Shumeet Baluja ,  Michele Covell

    IPC: G06K9/46 ,  G10L19/02

    CPC classification number: G10L19/02 ,  G06F17/30743 ,  G06K9/00523 ,  G06K9/527

    Abstract: A method is described that includes producing an audio spectrogram from a target sample, generating a number of fingerprints based on the audio spectrogram, comparing the series of fingerprints to samples in a data repository using wavelet coefficients, and identifying the target sample based on the matches found in the data repository.

    Abstract translation: 描述了一种方法，其包括从目标样本产生音频频谱图，基于音频谱图产生多个指纹，使用小波系数将数据存储库中的一系列指纹与样本进行比较，并且基于匹配来识别目标样本 在数据存储库中找到。

    Similar image selection
    12.
    发明授权
    Similar image selection 有权
    相似的图像选择

    公开(公告)号：US08942487B1

    公开(公告)日：2015-01-27

    申请号：US14084353

    申请日：2013-11-19

    Applicant: Google Inc.

    Inventor： Shumeet Baluja ,  Michele Covell

    IPC: G06K9/62 ,  G06K9/00 ,  G06K9/66 ,  G06T1/00

    CPC classification number: G06K9/6202 ,  G06F17/30247 ,  G06K9/00684 ,  G06K9/4604 ,  G06K9/6267 ,  G06K9/6292 ,  G06K9/66 ,  G06T1/0021 ,  H04N19/105 ,  H04N19/17 ,  H04N19/189

    Abstract: An image similar to a target image is selected from among a set of candidate images. A set of image classifiers is first generated and used to create a fingerprint for each candidate image. A hash table is generated for each fingerprint segment, and an identifier for each candidate image is stored in each hash table based on the candidate image fingerprint value for the fingerprint segment associated with the hash table. A fingerprint is created for the target image using the set of classifiers. Segments of the target image fingerprints are compared to segments of the candidate image fingerprints using the hash table, and a candidate image similar to the target image is selected based on this comparison.

    Abstract translation: 从一组候选图像中选择与目标图像类似的图像。 首先生成一组图像分类器，并用于为每个候选图像创建指纹。 为每个指纹片段生成哈希表，并且基于与散列表相关联的指纹片段的候选图像指纹值，将每个候选图像的标识符存储在每个哈希表中。 使用一组分类器为目标图像创建指纹。 使用散列表将目标图像指纹的段与候选图像指纹的段进行比较，并且基于该比较选择与目标图像类似的候选图像。

    Image compression and decompression using block prediction
    13.
    发明授权
    Image compression and decompression using block prediction 有权
    使用块预测的图像压缩和解压缩

    公开(公告)号：US08855437B1

    公开(公告)日：2014-10-07

    申请号：US13907000

    申请日：2013-05-31

    Applicant: Google, Inc.

    Inventor： Jing-yu Cui ,  Vivek Kwatra ,  Michele Covell ,  Mei Han ,  Saurabh Mathur

    IPC: G06K9/46 ,  G06T9/00

    CPC classification number: G06T9/004 ,  G06K9/6219

    Abstract: Compression of an image is performed based on prediction of target blocks of an image from candidate source blocks of the image. Heuristics are used for identifying the candidate source blocks, for example, source blocks are selected from within a cluster of similar blocks obtained by K-means clustering. For each target block, a region adjacent to the target block is identified and a set of candidate source blocks along with candidate source regions adjacent to the candidate source blocks are identified. The candidate source regions are ranked based on the differences between the candidate source regions and the target source region. Each candidate source block is described using its rank and residual information describing differences between the candidate source block and the target block. The candidate source block that can be described using a minimum amount of information is selected for predicting the target block.

    Abstract translation: 基于来自图像的候选源块的图像的目标块的预测来执行图像的压缩。 启发式用于识别候选源块，例如，从通过K均值聚类获得的相似块的簇内选择源块。 对于每个目标块，识别与目标块相邻的区域，并且识别一组候选源块以及与候选源块相邻的候选源区。 基于候选源区域和目标源区域之间的差异对候选源区域进行排序。 使用其等级和残差信息描述候选源块和目标块之间的差异来描述每个候选源块。 选择可以使用最小量的信息描述的候选源块用于预测目标块。

    Determining labels from similar geographic features
    14.
    发明授权
    Determining labels from similar geographic features 有权

    公开(公告)号：US10146883B2

    公开(公告)日：2018-12-04

    申请号：US14879350

    申请日：2015-10-09

    Applicant: Google Inc.

    Inventor： Rohan Seth ,  Joshua J. Sacks ,  Michele Covell ,  Michael Chu ,  Shumeet Baluja ,  David Marwood

    IPC: G06F17/30

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, including a method that comprises: determining a target geographic feature that has insufficient targeting information associated therewith, the target geographic feature defining a location; determining one or more similar geographic features to the target geographic feature, each geographic feature including targeting information, the determining based on shared excess queries that are shared between geographic features that are determined to be similar to the target geographic feature, wherein each excess query is a query associated with and exceeds an expected query count for each of the similar geographic features and the target geographic feature; attributing targeting information associated with at least one of the one or more similar geographic features to the target geographic feature; and serving content responsive to queries that relate to the target geographic feature based at least in part on the attributed targeting information.

    Determining Labels from Similar Geographic Features
    15.
    发明申请
    Determining Labels from Similar Geographic Features 审中-公开
    从相似的地理特征确定标签

    公开(公告)号：US20160034480A1

    公开(公告)日：2016-02-04

    申请号：US14879350

    申请日：2015-10-09

    Applicant: Google Inc.

    Inventor： Rohan Seth ,  Joshua J. Sacks ,  Michele Covell ,  Michael Chu ,  Shumeet Baluja ,  David Marwood

    IPC: G06F17/30

    CPC classification number: G06F17/3087 ,  G06F17/30241 ,  G06F17/30333

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, including a method that comprises: determining a target geographic feature that has insufficient targeting information associated therewith, the target geographic feature defining a location; determining one or more similar geographic features to the target geographic feature, each geographic feature including targeting information, the determining based on shared excess queries that are shared between geographic features that are determined to be similar to the target geographic feature, wherein each excess query is a query associated with and exceeds an expected query count for each of the similar geographic features and the target geographic feature; attributing targeting information associated with at least one of the one or more similar geographic features to the target geographic feature; and serving content responsive to queries that relate to the target geographic feature based at least in part on the attributed targeting information.

    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，包括一种方法，其包括：确定与其相关联的目标信息不足的目标地理特征，所述目标地理特征定义位置; 将目标地理特征确定一个或多个相似的地理特征，每个地理特征包括目标信息，基于被确定为类似于目标地理特征的地理特征之间共享的共享超额查询的确定，其中每个过量查询是 与每个相似地理特征和目标地理特征相关联并且超过预期查询计数的查询; 将与所述一个或多个相似地理特征中的至少一个相关联的定向信息归因于所述目标地理特征; 以及至少部分地基于归因的定位信息来响应于与目标地理特征相关的查询来服务内容。

    RANKING CONTENT USING LOCATION-BASED QUERY LOG ANALYSIS
    16.
    发明申请
    RANKING CONTENT USING LOCATION-BASED QUERY LOG ANALYSIS 有权
    使用基于位置的查询日志分析的排名内容

    公开(公告)号：US20150379017A1

    公开(公告)日：2015-12-31

    申请号：US14845825

    申请日：2015-09-04

    Applicant: GOOGLE INC.

    Inventor： Rohan Seth ,  Shumeet Baluja ,  Michael Jesse Chu ,  Joshua J. Sacks ,  David Marwood ,  Michele Covell

    IPC: G06F17/30

    CPC classification number: G06F17/3053 ,  G06F17/30241 ,  G06F17/30528 ,  G06F17/30554 ,  G06F17/3087

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, including a method for ranking content using location-based query log analysis. The method comprises: identifying a region defining an area of interest including identifying a plurality of content items that are associated with the region; evaluating query logs associated with users that submitted queries associated with the region to determine a ranking associated with the plurality of content items; receiving a request for content associated with the region; and providing one or more of the content items based at least in part on the ranking.

    Abstract translation: 方法，系统和装置，包括在计算机可读存储介质上编码的计算机程序，包括使用基于位置的查询日志分析来对内容进行排序的方法。 该方法包括：识别定义感兴趣区域的区域，包括识别与该区域相关联的多个内容项目; 评估与提交与所述区域相关联的查询的用户相关联的查询日志以确定与所述多个内容项目相关联的排名; 接收与该地区相关联的内容的请求; 以及至少部分地基于排名来提供一个或多个内容项目。

    ORDERING IMAGE SEARCH RESULTS
    17.
    发明申请
    ORDERING IMAGE SEARCH RESULTS 审中-公开
    订购图像搜索结果

    公开(公告)号：US20150161168A1

    公开(公告)日：2015-06-11

    申请号：US14059157

    申请日：2013-10-21

    Applicant: Google Inc.

    Inventor： Michele Covell ,  Yushi Jing ,  Jingbin Wang ,  Charles J. Rosenberg ,  Sarah Moussa

    IPC: G06F17/30

    CPC classification number: G06F16/583 ,  G06F16/58 ,  G06F16/951

    Abstract: Methods, systems, and apparatus, including computer program products, for ranking images are disclosed. An image search subsystem generates an adjustment factor representative of a quality measure of an image relative to a search query. The quality represents a relevance of the image to the query. The adjustment factor can be computed based on relevance data for the image to the query and image similarity data representing a relative similarity between the image and other images relevant to the query. The relevance data can be based on user actions in response to the image being included in search results for the query. The adjustment factor can be scaled based on whether the relevance data and the image similarity data both indicate that the image is relevant to the search query. A relevance score is computed based on the adjustment factor (e.g., a product of the adjustment factor and relevance score).

    Abstract translation: 公开了用于对图像排序的方法，系统和装置，包括计算机程序产品。 图像搜索子系统生成表示相对于搜索查询的图像的质量度量的调整因子。 质量表示图像与查询的相关性。 调整因子可以基于图像与查询的相关性数据计算，图像相似度数据表示图像和与查询相关的其他图像之间的相对相似度。 相关数据可以基于响应于图像被包括在查询的搜索结果中的用户动作。 可以基于相关性数据和图像相似性数据是否都指示图像与搜索查询相关来来调整调整因子。 基于调整因子（例如，调整因子和相关性得分的乘积）来计算相关性得分。

    Predicting user interests
    20.
    发明授权
    Predicting user interests 有权

    公开(公告)号：US09633312B1

    公开(公告)日：2017-04-25

    申请号：US14698211

    申请日：2015-04-28

    Applicant: Google Inc.

    Inventor： Shumeet Baluja ,  Michele Covell

    IPC: G06N5/04 ,  G06F17/30 ,  G06N3/00

    CPC classification number: G06N5/04 ,  G06F17/30522 ,  G06F17/30867 ,  G06F17/30991 ,  G06N3/00

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting user interests. In one aspect, a method includes training a prediction model to generate a category prediction of a next query from a set of queries, the category prediction specifying categories to which a next query belongs, the prediction model comprising a plurality of prediction functions that each generate a category prediction of a next query, wherein the prediction functions include two or more of a time-based prediction functions that generate a category prediction based on the category data and a difference of submission times of the queries, a rank-based prediction functions that generate a category prediction based on the category data and a rank order by which the queries were received, and a category-based prediction function that generates a category prediction based on the category data.

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