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1. 发明授权

US08566349B2 Handwritten document categorizer and method of training 有权
标题翻译：手写文件分类器和培训方法
公开(公告)号：US08566349B2
公开(公告)日：2013-10-22
申请号：US12567920
申请日：2009-09-28
申请人： Francois Ragnet , Florent C. Perronnin , Thierry Lehoux
发明人： Francois Ragnet , Florent C. Perronnin , Thierry Lehoux
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06K9/00879 , G06K9/2054 , G06K9/6256 , G06K2209/01
摘要： A method and an apparatus for training a handwritten document categorizer are disclosed. For each category in a set into which handwritten documents are to be categorized, discriminative words are identified from the OCR output of a training set of typed documents labeled by category. A group of keywords is established including some of the discriminative words identified for each category. Samples of each of the keywords in the group are synthesized using a plurality of different type fonts. A keyword model is then generated for each keyword, parameters of the model being estimated, at least initially, based on features extracted from the synthesized samples. Keyword statistics for each of a set of scanned handwritten documents labeled by category are generated by applying the generated keyword models to word images extracted from the scanned handwritten documents. The categorizer is trained with the keyword statistics and respective handwritten document labels.
摘要翻译：公开了一种用于训练手写文档分类器的方法和装置。对于要分类手写文件的集合中的每个类别，根据类别标记的类型文档的训练集的OCR输出来识别歧视性词。建立了一组关键字，其中包括为每个类别确定的某些歧视性词汇。使用多种不同类型的字体来合成组中的每个关键字的样本。然后，基于从合成样本中提取的特征，为每个关键字生成关键字模型，估计模型的参数。通过将生成的关键词模型应用于从扫描的手写文档中提取的单词图像，生成按类别标记的一组扫描手写文档中的每一个的关键字统计。分类程序使用关键字统计信息和各自的手写文档标签进行培训。

2. 发明申请

US20100191743A1 Contextual similarity measures for objects and retrieval, classification, and clustering using same 有权
标题翻译：使用相同的对象和检索，分类和聚类的上下文相似性度量
公开(公告)号：US20100191743A1
公开(公告)日：2010-07-29
申请号：US12361157
申请日：2009-01-28
申请人： Florent C. Perronnin , Yan Liu
发明人： Florent C. Perronnin , Yan Liu
IPC分类号： G06F17/30
CPC分类号： G06F17/30253 , G06K9/6215 , G06K9/72
摘要： A method of comparing first and second objects in a context comprises: maximizing or minimizing a quantitative comparison of the first object and a mixture of the second object and the context respective to a weighting parameter that controls the mixture; and outputting a comparison value based on the value of the weighting parameter determined by the maximizing or minimizing.
摘要翻译：在上下文中比较第一和第二对象的方法包括：最大化或最小化第一对象与第二对象与上下文的混合的定量比较，与控制混合的加权参数相对应; 并且基于由最大化或最小化确定的加权参数的值来输出比较值。

3. 发明授权

US08774498B2 Modeling images as sets of weighted features 有权
标题翻译：将图像建模为一组加权特征
公开(公告)号：US08774498B2
公开(公告)日：2014-07-08
申请号：US12361235
申请日：2009-01-28
申请人： Teófilo E. de Campos , Florent C. Perronnin
发明人： Teófilo E. de Campos , Florent C. Perronnin
IPC分类号： G06K9/00
CPC分类号： G06K9/4671 , G06K9/00597 , G06K9/3233
摘要： An apparatus, method, and computer program product are provided for generating an image representation. The method includes receiving an input digital image, extracting features from the image which are representative of patches of the image, generating weighting factors for the features based on location relevance data for the image, and weighting the extracted features with the weighting factors to form a representation of the image.
摘要翻译：提供了一种用于生成图像表示的装置，方法和计算机程序产品。该方法包括：接收输入数字图像，从代表图像斑块的图像中提取特征，基于图像的位置相关性数据生成特征的加权因子，以及用加权因子加权所提取的特征，以形成图像的表示。

4. 发明申请

US20130156302A1 HANDWRITTEN WORD SPOTTER SYSTEM USING SYNTHESIZED TYPED QUERIES 有权
标题翻译：使用合成类型查询的手写词传送器系统
公开(公告)号：US20130156302A1
公开(公告)日：2013-06-20
申请号：US13678961
申请日：2012-11-16
申请人： Jose A. Rodriguez Serrano , Florent C. Perronnin
发明人： Jose A. Rodriguez Serrano , Florent C. Perronnin
IPC分类号： G06K9/62
CPC分类号： G06K9/6279 , G06K9/00879 , G06K9/6297
摘要： A wordspotting system and method are disclosed for processing candidate word images extracted from handwritten documents. In response to a user inputting a selected query string, such as a word to be searched in one or more of the handwritten documents, the system automatically generates at least one computer-generated image based on the query string in a selected font or fonts. A model is trained on the computer-generated image(s) and is thereafter used in the scoring the candidate handwritten word images. The candidate or candidates with the highest scores and/or documents containing them can be presented to the user, tagged, or otherwise processed differently from other candidate word images/documents.
摘要翻译：公开了一种用于处理从手写文档提取的候选词图像的词点分析系统和方法。响应于用户输入所选择的查询字符串，例如在一个或多个手写文档中要搜索的单词，系统基于所选择的字体或字体中的查询字符串自动生成至少一个计算机生成的图像。在计算机生成的图像上训练模型，然后在评分候选手写字图像中使用模型。具有最高分数和/或包含它们的文档的候选人或者候选人可以被呈现给用户，标记或以其它方式处理，与其他候选词图像/文档不同。

5. 发明申请

US20130064444A1 DOCUMENT CLASSIFICATION USING MULTIPLE VIEWS 有权
标题翻译：使用多个视图的文档分类
公开(公告)号：US20130064444A1
公开(公告)日：2013-03-14
申请号：US13230253
申请日：2011-09-12
申请人： Albert Gordo , Florent C. Perronnin
发明人： Albert Gordo , Florent C. Perronnin
IPC分类号： G06K9/62
CPC分类号： G06K9/6247 , G06K9/6256
摘要： A training system, training method, and a system and method of use of a trained classification system are provided. A classifier may be trained with a first “cheap” view but not using a second “costly” view of each of the training samples, which is not available at test time. The two views of samples are each defined in a respective original feature space. An embedding function is learned for embedding at least the first view of the training samples into a common feature space in which the second view can also be embedded or is the same as the second view original feature space. Labeled training samples (first view only) for training the classifier are embedded into the common feature space using the learned embedding function. The trained classifier can be used to predict labels for test samples for which the first view has been embedded in the common feature space with the embedding function.
摘要翻译：提供了训练系统，训练方法，以及训练有素的分类系统的使用系统和方法。分类器可以用第一便宜视图进行训练，但是不使用每个训练样本的第二代价视图，这在测试时间不可用。样本的两个视图各自在相应的原始特征空间中定义。学习嵌入功能，至少将训练样本的第一视图嵌入到第二视图也可以被嵌入或与第二视图原始特征空间相同的公共特征空间中。用于训练分类器的标记训练样本（仅第一视图）使用学习的嵌入函数嵌入到公共特征空间中。经过训练的分类器可用于预测第一视图已嵌入到具有嵌入功能的公共特征空间中的测试样本的标签。

6. 发明授权

US08150858B2 Contextual similarity measures for objects and retrieval, classification, and clustering using same 有权
标题翻译：使用相同的对象和检索，分类和聚类的上下文相似性度量
公开(公告)号：US08150858B2
公开(公告)日：2012-04-03
申请号：US12361157
申请日：2009-01-28
申请人： Florent C. Perronnin , Yan Liu
发明人： Florent C. Perronnin , Yan Liu
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30253 , G06K9/6215 , G06K9/72
摘要： A method of comparing first and second objects in a context comprises: maximizing or minimizing a quantitative comparison of the first object and a mixture of the second object and the context respective to a weighting parameter that controls the mixture; and outputting a comparison value based on the value of the weighting parameter determined by the maximizing or minimizing.
摘要翻译：在上下文中比较第一和第二对象的方法包括：最大化或最小化第一对象与第二对象与上下文的混合的定量比较，与控制混合的加权参数相对应; 并且基于由最大化或最小化确定的加权参数的值来输出比较值。

7. 发明申请

US20110078191A1 HANDWRITTEN DOCUMENT CATEGORIZER AND METHOD OF TRAINING 有权
标题翻译：手写文件分类器和培训方法
公开(公告)号：US20110078191A1
公开(公告)日：2011-03-31
申请号：US12567920
申请日：2009-09-28
申请人： Francois RAGNET , Florent C. Perronnin , Thierry Lehoux
发明人： Francois RAGNET , Florent C. Perronnin , Thierry Lehoux
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06K9/00879 , G06K9/2054 , G06K9/6256 , G06K2209/01
摘要： A method and an apparatus for training a handwritten document categorizer are disclosed. For each category in a set into which handwritten documents are to be categorized, discriminative words are identified from the OCR output of a training set of typed documents labeled by category. A group of keywords is established including some of the discriminative words identified for each category. Samples of each of the keywords in the group are synthesized using a plurality of different type fonts. A keyword model is then generated for each keyword, parameters of the model being estimated, at least initially, based on features extracted from the synthesized samples. Keyword statistics for each of a set of scanned handwritten documents labeled by category are generated by applying the generated keyword models to word images extracted from the scanned handwritten documents. The categorizer is trained with the keyword statistics and respective handwritten document labels.
摘要翻译：公开了一种用于训练手写文档分类器的方法和装置。对于要分类手写文件的集合中的每个类别，根据类别标记的类型文档的训练集的OCR输出来识别歧视性词。建立了一组关键字，其中包括为每个类别确定的某些歧视性词汇。使用多种不同类型的字体来合成组中的每个关键字的样本。然后，基于从合成样本中提取的特征，为每个关键字生成关键字模型，估计模型的参数。通过将生成的关键词模型应用于从扫描的手写文档中提取的单词图像，生成按类别标记的一组扫描手写文档中的每一个的关键字统计。分类程序使用关键字统计信息和各自的手写文档标签进行培训。

8. 发明申请

US20100191532A1 Model-based comparative measure for vector sequences and word spotting using same 有权
标题翻译：基于模型的矢量序列比较测量和使用相同的单词识别
公开(公告)号：US20100191532A1
公开(公告)日：2010-07-29
申请号：US12361178
申请日：2009-01-28
申请人： Jose A. Rodriguez Serrano , Florent C. Perronnin
发明人： Jose A. Rodriguez Serrano , Florent C. Perronnin
IPC分类号： G10L15/14
CPC分类号： G06K9/00879 , G06K9/2054 , G06K9/6215 , G06K9/6297 , G06K2209/01
摘要： An object comparison method comprises: generating a first ordered vector sequence representation of a first object; generating a second ordered vector sequence representation of a second object; representing the first object by a first ordered sequence of model parameters generated by modeling the first ordered vector sequence representation using a semi-continuous hidden Markov model employing a universal basis; representing the second object by a second ordered sequence of model parameters generated by modeling the second ordered vector sequence representation using a semi-continuous hidden Markov model employing the universal basis; and comparing the first and second ordered sequences of model parameters to generate a quantitative comparison measure.
摘要翻译：对象比较方法包括：生成第一对象的第一有序向量序列表示; 生成第二对象的第二有序向量序列表示; 通过使用使用通用基础的半连续隐马尔可夫模型通过对第一有序向量序列表示进行建模产生的模型参数的第一有序序列代表第一对象; 通过使用使用通用基础的半连续隐马尔科夫模型对第二有序矢量序列表示进行建模而产生的模型参数的第二有序序列代表第二对象; 并比较模型参数的第一和第二有序序列以产生定量比较测量。

9. 发明授权

US08813111B2 Photograph-based game 有权
标题翻译：基于照片的游戏
公开(公告)号：US08813111B2
公开(公告)日：2014-08-19
申请号：US13214661
申请日：2011-08-22
申请人： Nicolas Guérin , Florent C. Perronnin , Craig John Saunders , Sebastien Dabet
发明人： Nicolas Guérin , Florent C. Perronnin , Craig John Saunders , Sebastien Dabet
IPC分类号： H04N7/16 , G06K9/68 , A63F9/24 , A63F13/12 , A63F13/10
CPC分类号： A63F13/655 , A63F13/10 , A63F13/12 , A63F13/213 , A63F13/332 , A63F13/44 , A63F13/46 , A63F2300/6009 , A63F2300/61 , A63F2300/69
摘要： A system and a method for playing a photograph-based game are provided. The method includes establishing a communication link between a game playing system and one or more game playing devices, each of which is operated by a respective player. Game rules are presented to the player(s) on the respective game playing device(s). The game rules include at least one task for the submission of at least one photographic image. Provision is made for receiving a photographic image in the game playing system which has been submitted via the established link from the game playing device in response to the presented task. An image signature is computed for the submitted photographic image based on visual features extracted from the image and a relevance to the task is computed, based on the computed image signature. A score for the game is output for each player, based on the computed relevance of the submitted images for each of the tasks.
摘要翻译：提供了一种用于播放基于照片的游戏的系统和方法。该方法包括建立游戏系统与一个或多个游戏装置之间的通信链接，每个游戏装置由相应的玩家操作。游戏规则被呈现给各个游戏设备上的玩家。游戏规则包括至少一个用于提交至少一个摄影图像的任务。规定用于在游戏系统中接收已经通过建立的来自游戏装置的链接而响应于所呈现的任务提交的摄影图像。基于从图像提取的视觉特征为所提交的摄影图像计算图像签名，并且基于计算的图像签名计算与任务的相关性。基于所计算的每个任务的提交的图像的相关性，为每个玩家输出游戏的分数。

10. 发明授权

US08509537B2 Learning weights of fonts for typed samples in handwritten keyword spotting 有权
标题翻译：学习手写关键词点样中类型样本的字体权重
公开(公告)号：US08509537B2
公开(公告)日：2013-08-13
申请号：US12851092
申请日：2010-08-05
申请人： Florent C. Perronnin , Thierry Lehoux , Francois Ragnet
发明人： Florent C. Perronnin , Thierry Lehoux , Francois Ragnet
IPC分类号： G06K9/18 , G06K9/62 , G06K9/72
CPC分类号： G06K9/00879 , G06K9/6255 , G06K9/6828
摘要： A wordspotting system and method are disclosed. The method includes receiving a keyword and, for each of a set of typographical fonts, synthesizing a word image based on the keyword. A keyword model is trained based on the synthesized word images and the respective weights for each of the set of typographical fonts. Using the trained keyword model, handwritten word images of a collection of handwritten word images which match the keyword are identified. The weights allow a large set of fonts to be considered, with the weights indicating the relative relevance of each font for modeling a set of handwritten word images.
摘要翻译：公开了一种wordspotting系统和方法。该方法包括接收关键字，并且针对一组排版字体中的每一个，基于关键字合成单词图像。基于合成的单词图像和每组排版字体的相应权重来训练关键词模型。使用经过训练的关键词模型，识别与该关键词匹配的手写词图像集合的手写词图像。权重允许考虑一大堆字体，权重指示每个字体的相对相关性，用于对一组手写字图像进行建模。

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