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41. 发明授权

US08898148B1 Targeting to physical environment 有权
标题翻译：针对物理环境
公开(公告)号：US08898148B1
公开(公告)日：2014-11-25
申请号：US13443079
申请日：2012-04-10
申请人： Jay Yagnik , Niyati Yagnik
发明人： Jay Yagnik , Niyati Yagnik
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： A computer-implemented information targeting method is disclosed. The method includes receiving a search query from a computing device, where the search query has at least two different meanings, identifying metadata associated with the search query, using the metadata to promote search results corresponding to a first meaning of the at least two meanings of the search query, and providing search results corresponding to the first meaning of the search query to the computing device. Using the metadata to promote search results may comprise analyzing (a) prior search queries that are related to the received search query, (b) metadata associated with the prior search queries, and (c) selections of search results provided in response to the prior search queries; and identifying a correlation between the metadata associated with the prior search queries and selections of search results presented in response to the prior search queries.
摘要翻译：公开了一种计算机实现的信息定位方法。该方法包括从计算设备接收搜索查询，其中搜索查询具有至少两个不同含义，识别与搜索查询相关联的元数据，使用元数据来促进对应于至少两个含义的第一含义的搜索结果搜索查询，并且将与搜索查询的第一含义相对应的搜索结果提供给计算设备。使用元数据来促进搜索结果可以包括分析（a）与所接收的搜索查询相关的先前搜索查询，（b）与先前搜索查询相关联的元数据，以及（c）响应于先前提供的搜索结果的选择搜索查询; 以及识别与先前搜索查询相关联的元数据与响应于先前搜索查询呈现的搜索结果的选择之间的相关性。

42. 发明授权

US08880415B1 Hierarchical encoding of time-series data features 有权
标题翻译：时间序列数据特征的分层编码
公开(公告)号：US08880415B1
公开(公告)日：2014-11-04
申请号：US13316286
申请日：2011-12-09
申请人： Douglas Eck , Jay Yagnik
发明人： Douglas Eck , Jay Yagnik
IPC分类号： G10L21/00
CPC分类号： G10L25/27 , G10H2250/581 , G10L2019/0001
摘要： A computing device identifies a first codeword in a first codebook to represent short-timescale information of frames in a time-based data item segmented at intervals and identifies a second codeword in a second codebook to represent long-timescale information of the frames. The computing device generates a third codebook based on the first codeword and the second codeword for the frames to add long-timescale information context to the short-timescale information of the frames.
摘要翻译：计算设备识别第一码本中的第一码字以表示以间隔分段的基于时间的数据项中的帧的短时间尺度信息，并且识别第二码本中的第二码字以表示帧的长时间尺度信息。计算设备基于第一码字和第二码字生成第三码本，以便为帧的短时间尺度信息添加长时间尺度信息上下文。

43. 发明授权

US08819024B1 Learning category classifiers for a video corpus 有权
标题翻译：学习视频语料库的类别分类器
公开(公告)号：US08819024B1
公开(公告)日：2014-08-26
申请号：US12950955
申请日：2010-11-19
申请人： George Toderici , Hrishikesh Aradhye , Alexandru Marius Pasca , Luciano Sbaiz , Jay Yagnik
发明人： George Toderici , Hrishikesh Aradhye , Alexandru Marius Pasca , Luciano Sbaiz , Jay Yagnik
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30731 , G06K9/00718
摘要： A classifier training system learns classifiers for categories by combining data from a category-instance repository comprising relationships between categories and more specific instances of those categories with a set of video classifiers for different concepts. The category-instance repository is derived from the domain of textual documents, such as web pages, and the concept classifiers are derived from the domain of video. Taken together, the category-instance repository and the concept classifiers provide sufficient data for obtaining accurate classifiers for categories that encompass other lower-level concepts, where the categories and their classifiers may not be obtainable solely from the video domain.
摘要翻译：分类器训练系统通过将包括类别之间的关系的类别实例存储库的数据与这些类别的更具体的实例组合用于不同概念的一组视频分类器来学习类别的分类器。类别实例存储库是从文本文档的领域（如Web页面）导出的，概念分类器是从视频域派生的。总而言之，类别实例存储库和概念分类器提供足够的数据，以便为包含其他较低级别概念的类别获取准确的分类器，其中类别及其分类可能无法仅从视频域获得。

44. 发明授权

US08792732B1 Automatic large scale video object recognition 有权
标题翻译：自动大规模视频对象识别
公开(公告)号：US08792732B1
公开(公告)日：2014-07-29
申请号：US13559420
申请日：2012-07-26
申请人： Ming Zhao , Jay Yagnik
发明人： Ming Zhao , Jay Yagnik
IPC分类号： G06K9/46 , H04N5/14
CPC分类号： G06K9/6232 , G06K9/6215
摘要： An object recognition system performs a number of rounds of dimensionality reduction and consistency learning on visual content items such as videos and still images, resulting in a set of feature vectors that accurately predict the presence of a visual object represented by a given object name within an visual content item. The feature vectors are stored in association with the object name which they represent and with an indication of the number of rounds of dimensionality reduction and consistency learning that produced them. The feature vectors and the indication can be used for various purposes, such as quickly determining a visual content item containing a visual representation of a given object name.
摘要翻译：对象识别系统对诸如视频和静止图像的视觉内容项目执行多次维数降低和一致性学习，导致一组特征向量，其精确地预测由一个对象名称表示的视觉对象的存在视觉内容项目。特征向量与它们所代表的对象名称相关联地存储，并且显示产生它们的维度降低和一致性学习的轮次数。特征向量和指示可以用于各种目的，诸如快速确定包含给定对象名称的视觉表示的视觉内容项。

45. 发明授权

US08774509B1 Method and system for creating a two-dimensional representation of an image based upon local representations throughout the image structure 有权
标题翻译：基于整个图像结构中的局部表示来创建图像的二维表示的方法和系统
公开(公告)号：US08774509B1
公开(公告)日：2014-07-08
申请号：US13410199
申请日：2012-03-01
申请人： Jay Yagnik , Douglas Eck
发明人： Jay Yagnik , Douglas Eck
IPC分类号： G06K9/00
CPC分类号： G06T9/00 , G06K9/4642 , G06K9/6218
摘要： A system computes a vectorial representation for each of a set of initial patches in an image and compares the vectorial representation for each initial patch with vectorial representations of nearby patches. Each nearby patch is within a distance from an initial patch. The system applies an ordinal coding algorithm on the comparison results between the vectorial representations for the initial patches and vectorial representations of nearby patches to generate a two-dimensional representation of the image indicating a repeating pattern within the image.
摘要翻译：系统计算图像中的一组初始补丁中的每一个的向量表示，并将每个初始补丁的向量表示与附近补丁的向量表示进行比较。每个附近的补丁距离初始补丁有一段距离。该系统对初始补丁的矢量表示和附近补丁的向量表示之间的比较结果应用序数编码算法，以生成指示图像内的重复图案的图像的二维表示。

46. 发明授权

US08676803B1 Clustering images 有权
标题翻译：聚集图像
公开(公告)号：US08676803B1
公开(公告)日：2014-03-18
申请号：US12612650
申请日：2009-11-04
申请人： Thomas Leung , Jay Yagnik
发明人： Thomas Leung , Jay Yagnik
IPC分类号： G06F17/30
CPC分类号： G06F17/30268 , G06F17/30265
摘要： 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.
摘要翻译：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。

47. 发明授权

US08537175B1 Video enhancement for large scale applications 有权
标题翻译：适用于大规模应用的视频增强
公开(公告)号：US08537175B1
公开(公告)日：2013-09-17
申请号：US12625822
申请日：2009-11-25
申请人： George Toderici , Jay Yagnik
发明人： George Toderici , Jay Yagnik
IPC分类号： G09G5/02 , G06T15/50 , G06T15/60
CPC分类号： G06T5/008 , G06T2207/10016 , G06T2207/20012
摘要： A video enhancement server enhances a video. A scene segmentation module detects scene boundaries and segments the video into a number of scenes. For each frame in a given scene, a local white level and a local black level are determined from the distribution of pixel luminance values in the frame. A global white level and global black level are also determined from the distribution of pixel luminance values throughout the scene. Weighted white levels and black levels are determined for each frame as a weighted combination of the local and global levels. The video segmentation server then applies histogram stretching and saturation adjustment to each frame using the weighted white levels and black levels to determine enhanced pixel luminance values. An enhanced video comprising the enhanced pixel luminance values is stored to a video server for serving to clients.
摘要翻译：视频增强服务器增强视频。场景分割模块检测场景边界并将视频分割成多个场景。对于给定场景中的每个帧，从帧中的像素亮度值的分布确定局部白电平和局部黑电平。全局白电平和全局黑电平也由整个场景中像素亮度值的分布确定。为每个帧确定加权白电平和黑电平作为本地和全局电平的加权组合。然后，视频分割服务器使用加权的白电平和黑电平对每个帧应用直方图拉伸和饱和度调整，以确定增强的像素亮度值。包括增强像素亮度值的增强视频被存储到视频服务器以供客户端服务。

48. 发明申请

US20130113877A1 DETERMINING FEATURE VECTORS FOR VIDEO VOLUMES 有权
标题翻译：确定视频的特征向量
公开(公告)号：US20130113877A1
公开(公告)日：2013-05-09
申请号：US13633062
申请日：2012-10-01
申请人： RAHUL SUKTHANKAR , JAY YAGNIK
发明人： RAHUL SUKTHANKAR , JAY YAGNIK
IPC分类号： H04N13/00
CPC分类号： G06K9/00744 , G06F17/3079 , G06F17/3082 , G06K9/00718 , G06T9/00
摘要： 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.
摘要翻译：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。

49. 发明授权

US08429212B1 Training scoring models optimized for highly-ranked results 失效
公开(公告)号：US08429212B1
公开(公告)日：2013-04-23
申请号：US13342532
申请日：2012-01-03
申请人： Samy Bengio , Gal Chechik , Sergey Ioffe , Jay Yagnik
发明人： Samy Bengio , Gal Chechik , Sergey Ioffe , Jay Yagnik
IPC分类号： G06F17/00
CPC分类号： G06K9/66 , G06F17/30244 , G06F17/3053 , G06K9/6267 , Y10S707/913 , Y10S707/915
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training scoring models. One method includes storing data identifying a plurality of positive and a plurality of negative training images for a query. The method further includes selecting a first image from either the positive group of images or the negative group of images, and applying a scoring model to the first image. The method further includes selecting a plurality of candidate images from the other group of images, applying the scoring model to each of the candidate images, and then selecting a second image from the candidate images according to scores for the images. The method further includes determining that the scores for the first image and the second image fail to satisfy a criterion, updating the scoring model, and storing the updated scoring model.

50. 发明授权

US08396325B1 Image enhancement through discrete patch optimization 有权
标题翻译：通过离散补丁优化的图像增强
公开(公告)号：US08396325B1
公开(公告)日：2013-03-12
申请号：US12430812
申请日：2009-04-27
申请人： Vivek Kwatra , Mei Han , Jay Yagnik
发明人： Vivek Kwatra , Mei Han , Jay Yagnik
IPC分类号： G06K9/36
CPC分类号： G06T7/33
摘要： An image processing system enhances the resolution of an original image using higher-resolution image data from other images. The image processing system defines a plurality of overlapping partitions for the original image, each partition defining a set of non-overlapping site patches. During an optimization phase, the system identifies, for site patches of the original images, label patches within related images that are of most relevance. During a rendering phase independent of the optimization phase, an output image with enhanced resolution is synthesized by substituting, for site patches of the original image, the identified relevant label patches from the related images.
摘要翻译：图像处理系统使用来自其他图像的更高分辨率图像数据增强原始图像的分辨率。图像处理系统为原始图像定义多个重叠的分区，每个分区定义一组不重叠的站点块。在优化阶段期间，系统会针对最相关的相关图像中的原始图像的贴片进行标签贴图。在独立于优化阶段的渲染阶段期间，通过从相关图像中替换原始图像的位置贴片来识别识别的相关标签贴图来合成具有增强分辨率的输出图像。

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