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1. 发明授权

US08718365B1 Text recognition for textually sparse images 有权
标题翻译：文本稀疏图像的文本识别
公开(公告)号：US08718365B1
公开(公告)日：2014-05-06
申请号：US12608877
申请日：2009-10-29
申请人： Alessandro Bissacco , Hartmut Neven
发明人： Alessandro Bissacco , Hartmut Neven
IPC分类号： G06K9/34 , G06K9/32
CPC分类号： G06K9/34 , G06K9/32 , G06K9/3208 , G06K9/3233 , G06K9/342 , G06K9/6857 , G06K2209/01
摘要： A text recognition server is configured to recognize text in a sparse text image. Specifically, given an image, the server specifies a plurality of “patches” (blocks of pixels within the image). The system applies a text detection algorithm to the patches to determine a number of the patches that contain text. This application of the text detection algorithm is used both to estimate the orientation of the image and to determine whether the image is textually sparse or textually dense. If the image is determined to be textually sparse, textual patches are identified and grouped into text regions, each of which is then separately processed by an OCR algorithm, and the recognized text for each region is combined into a result for the image as a whole.
摘要翻译：文本识别服务器被配置为识别稀疏文本图像中的文本。具体地，给定图像，服务器指定多个“补丁”（图像内的像素块）。系统将文本检测算法应用于修补程序，以确定包含文本的多个修补程序。文本检测算法的这种应用被用于估计图像的取向并确定图像是文本稀疏的还是文本密集的。如果图像被确定为文本上稀疏的，则文本补丁被识别并分组成文本区域，然后每个文本区域被OCR算法分开处理，并且将每个区域的识别文本合并为整个图像的结果。

2. 发明授权

US08345921B1 Object detection with false positive filtering 有权
公开(公告)号：US08345921B1
公开(公告)日：2013-01-01
申请号：US12453432
申请日：2009-05-11
申请人： Andrea Frome , German Cheung , Ahmad Abdulkader , Marco Zennaro , Bo Wu , Alessandro Bissacco , Hartmut Neven , Luc Vincent , Hartwig Adam
发明人： Andrea Frome , German Cheung , Ahmad Abdulkader , Marco Zennaro , Bo Wu , Alessandro Bissacco , Hartmut Neven , Luc Vincent , Hartwig Adam
IPC分类号： G06K9/00
CPC分类号： G06K9/00624 , G06K9/00228 , G06K9/00771 , G06K9/00791 , G06K9/72 , G06K2209/15
摘要： Embodiments of this invention relate to detecting and blurring images. In an embodiment, a system detects objects in a photographic image. The system includes an object detector module configured to detect regions of the photographic image that include objects of a particular type at least based on the content of the photographic image. The system further includes a false positive detector module configured to determine whether each region detected by the object detector module includes an object of the particular type at least based on information about the context in which the photographic image was taken.

3. 发明授权

US08086616B1 Systems and methods for selecting interest point descriptors for object recognition 有权
标题翻译：用于选择对象识别的兴趣点描述符的系统和方法
公开(公告)号：US08086616B1
公开(公告)日：2011-12-27
申请号：US12404857
申请日：2009-03-16
申请人： Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
发明人： Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
IPC分类号： G06F7/00
CPC分类号： G06K9/623
摘要： Systems and methods for selecting interest point descriptors for object recognition. In an embodiment, the present invention estimates performance of local descriptors by (1) receiving a local descriptor relating to an object in a first image; (2) identifying one or more nearest neighbor descriptors relating to one or more images different from the first image, the nearest neighbor descriptors comprising nearest neighbors of the local descriptor; (3) calculating a quality score for the local descriptor based on the number of nearest neighbor descriptors that relate to images showing the object; and (4) determining, on the basis of the quality score, if the local descriptor is effective in identifying the object.
摘要翻译：用于选择对象识别的兴趣点描述符的系统和方法。在一个实施例中，本发明通过（1）接收与第一图像中的对象有关的局部描述符来估计本地描述符的性能; （2）识别与不同于第一图像的一个或多个图像相关的一个或多个最近邻描述符，最近邻描述符包括本地描述符的最近邻; （3）基于与显示对象的图像相关的最近邻描述符的数量来计算本地描述符的质量得分; 以及（4）基于质量分数来确定本地描述符是否有效地识别对象。

4. 发明授权

US08995758B1 Classifying false positive descriptors 有权
标题翻译：分类假阳性描述符
公开(公告)号：US08995758B1
公开(公告)日：2015-03-31
申请号：US12489341
申请日：2009-06-22
申请人： Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
发明人： Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
IPC分类号： G06K9/62 , G06Q30/06
CPC分类号： G06Q30/06
摘要： According to an embodiment, a method for filtering descriptors for visual object recognition is provided. The method includes identifying false positive descriptors having a local match confidence that exceeds a predetermined threshold and a global image match confidence that is less than a second threshold. The method also includes training at least one classifier to discriminate between the false positive descriptors and other descriptors. The method further includes filtering feature point matches using the at least one classifier. According to another embodiment, the filtering step may further include removing one or more feature point matches from a result set. According to a further embodiment, a system for filtering feature point matches for visual object recognition is provided. The system includes a hard false positive identifier, a classifier trainer and a hard false positive filter.
摘要翻译：根据实施例，提供了一种用于过滤用于视觉对象识别的描述符的方法。该方法包括识别具有超过预定阈值的局部匹配置信度和小于第二阈值的全局图像匹配置信度的假阳性描述符。该方法还包括训练至少一个分类器以区分假阳性描述符和其他描述符。该方法还包括使用至少一个分类器来过滤特征点匹配。根据另一实施例，过滤步骤还可以包括从结果集中移除一个或多个特征点匹配。根据另一实施例，提供了一种用于过滤用于视觉对象识别的特征点匹配的系统。该系统包括硬假阳性标识符，分类器训练器和硬假阳性滤波器。

5. 发明授权

US08868571B1 Systems and methods for selecting interest point descriptors for object recognition 有权
标题翻译：用于选择对象识别的兴趣点描述符的系统和方法
公开(公告)号：US08868571B1
公开(公告)日：2014-10-21
申请号：US13335352
申请日：2011-12-22
申请人： Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
发明人： Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
IPC分类号： G06F17/30
CPC分类号： G06K9/623
摘要： Systems and methods for selecting interest point descriptors for object recognition. In an embodiment, the present invention estimates performance of local descriptors by (1) receiving a local descriptor relating to an object in a first image; (2) identifying one or more nearest neighbor descriptors relating to one or more images different from the first image, the nearest neighbor descriptors comprising nearest neighbors of the local descriptor; (3) calculating a quality score for the local descriptor based on the number of nearest neighbor descriptors that relate to images showing the object; and (4) determining, on the basis of the quality score, if the local descriptor is effective in identifying the object.
摘要翻译：用于选择对象识别的兴趣点描述符的系统和方法。在一个实施例中，本发明通过（1）接收与第一图像中的对象有关的局部描述符来估计本地描述符的性能; （2）识别与不同于第一图像的一个或多个图像相关的一个或多个最近邻描述符，最近邻描述符包括本地描述符的最近邻; （3）基于与显示对象的图像相关的最近邻描述符的数量来计算本地描述符的质量得分; 以及（4）基于质量分数来确定本地描述符是否有效地识别对象。

6. 发明授权

US08520949B1 Self-similar descriptor filtering 有权
标题翻译：自相似描述符过滤
公开(公告)号：US08520949B1
公开(公告)日：2013-08-27
申请号：US12489345
申请日：2009-06-22
申请人： Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
发明人： Alessandro Bissacco , Ulrich Buddemeier , Hartmut Neven
IPC分类号： G06K9/00
CPC分类号： G06K9/6211 , G06K9/4671
摘要： According to an embodiment, a method for filtering feature point matches for visual object recognition is provided. The method includes identifying local descriptors in an image and determining a self-similarity score for each local descriptor based upon matching each local descriptor to its nearest neighbor descriptors from a descriptor dataset. The method also includes filtering feature point matches having a number of local descriptors with self-similarity scores that exceed a threshold. According to another embodiment, the filtering step may further include removing feature point matches. According to a further embodiment, a system for filtering feature point matches for visual object recognition is provided. The system includes a descriptor identifier, a self-similar descriptor analyzer and a self-similar descriptor filter.
摘要翻译：根据实施例，提供了一种用于过滤用于视觉对象识别的特征点匹配的方法。该方法包括识别图像中的局部描述符，并且基于从描述符数据集将每个局部描述符与其最近邻描述符相匹配来确定每个局部描述符的自相似度得分。该方法还包括具有多个具有超过阈值的自相似度分数的局部描述符的特征点匹配。根据另一个实施例，滤波步骤还可以包括去除特征点匹配。根据另一实施例，提供了一种用于过滤用于视觉对象识别的特征点匹配的系统。该系统包括描述符标识符，自相似描述符分析器和自相似描述符过滤器。

7. 发明授权

US07565139B2 Image-based search engine for mobile phones with camera 有权
标题翻译：基于图像的手机相机搜索引擎
公开(公告)号：US07565139B2
公开(公告)日：2009-07-21
申请号：US11129034
申请日：2005-05-13
申请人： Hartmut Neven, Sr. , Hartmut Neven
发明人： Hartmut Neven, Sr. , Hartmut Neven
IPC分类号： H04L29/06
CPC分类号： G06K9/6807 , G06K9/228 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99937 , Y10S707/99945 , Y10S707/99953
摘要： An image-based information retrieval system is disclosed that includes a mobile telephone and a remote server. The mobile telephone has a built-in camera and a communication link for transmitting an image from the built-in camera to the remote server. The remote server has an optical character recognition engine for generating a first confidence value based on an image from the mobile telephone, an object recognition engine for generating a second confidence value based on an image from the mobile telephone, a face recognition engine for generating a third confidence value based on an image from the mobile telephone, and an integrator module for receiving the first, second, and third confidence values and generating a recognition output.
摘要翻译：公开了一种基于图像的信息检索系统，其包括移动电话和远程服务器。移动电话具有内置相机和用于将图像从内置相机发送到远程服务器的通信链路。远程服务器具有用于基于来自移动电话的图像生成第一置信度的光学字符识别引擎，用于基于来自移动电话的图像生成第二置信度的对象识别引擎，用于生成基于来自移动电话的图像的第三置信度值，以及用于接收第一，第二和第三置信度值并产生识别输出的积分器模块。

8. 发明授权

US07962128B2 Mobile image-based information retrieval system 有权
标题翻译：基于移动图像的信息检索系统
公开(公告)号：US07962128B2
公开(公告)日：2011-06-14
申请号：US12785341
申请日：2010-05-21
申请人： Hartmut Neven , Hartmut Neven, Sr.
发明人： Hartmut Neven , Hartmut Neven, Sr.
IPC分类号： H04L29/06
CPC分类号： G06K9/228 , G06K9/4652 , G06K9/6292 , G06K9/6807 , G06K9/6857 , G06Q10/10 , G06Q30/02
摘要： An image-based information retrieval system, including a mobile telephone, a remote recognition server, and a remote media server, the mobile telephone having a built-in camera and a communication link for transmitting an image from the built-in camera to the remote recognition server and for receiving mobile media content from the remote media server, the remote recognition server for matching an image from the mobile telephone with an object representation in a database and forwarding an associated text identifier to the remote media server, and the remote media server for forwarding mobile media content to the mobile telephone based on the associated text identifier.
摘要翻译：一种基于图像的信息检索系统，包括移动电话，远程识别服务器和远程媒体服务器，移动电话具有内置相机和用于将图像从内置相机传输到远程的通信链路识别服务器和用于从远程媒体服务器接收移动媒体内容，远程识别服务器，用于将来自移动电话的图像与数据库中的对象表示进行匹配，并将相关联的文本标识符转发到远程媒体服务器，以及远程媒体服务器用于基于相关联的文本标识符将移动媒体内容转发到移动电话。

9. 发明申请

US20100260373A1 MOBILE IMAGE-BASED INFORMATION RETRIEVAL SYSTEM 有权
标题翻译：基于图像的信息检索系统
公开(公告)号：US20100260373A1
公开(公告)日：2010-10-14
申请号：US12785341
申请日：2010-05-21
申请人： Hartmut Neven , Hartmut Neven, SR.
发明人： Hartmut Neven , Hartmut Neven, SR.
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/228 , G06K9/4652 , G06K9/6292 , G06K9/6807 , G06K9/6857 , G06Q10/10 , G06Q30/02
摘要： An image-based information retrieval system, including a mobile telephone, a remote recognition server, and a remote media server, the mobile telephone having a built-in camera and a communication link for transmitting an image from the built-in camera to the remote recognition server and for receiving mobile media content from the remote media server, the remote recognition server for matching an image from the mobile telephone with an object representation in a database and forwarding an associated text identifier to the remote media server, and the remote media server for forwarding mobile media content to the mobile telephone based on the associated text identifier.
摘要翻译：一种基于图像的信息检索系统，包括移动电话，远程识别服务器和远程媒体服务器，移动电话具有内置相机和用于将图像从内置相机传输到远程的通信链路识别服务器和用于从远程媒体服务器接收移动媒体内容，远程识别服务器，用于将来自移动电话的图像与数据库中的对象表示进行匹配，并将相关联的文本标识符转发到远程媒体服务器，以及远程媒体服务器用于基于相关联的文本标识符将移动媒体内容转发到移动电话。

10. 发明申请

US20060012677A1 Image-based search engine for mobile phones with camera 有权
公开(公告)号：US20060012677A1
公开(公告)日：2006-01-19
申请号：US11129034
申请日：2005-05-13
申请人： Hartmut Neven , Hartmut Neven
发明人： Hartmut Neven , Hartmut Neven
IPC分类号： H04N7/18
CPC分类号： G06K9/6807 , G06K9/228 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99937 , Y10S707/99945 , Y10S707/99953
摘要： An image-based information retrieval system is disclosed that includes a mobile telephone and a remote server. The mobile telephone has a built-in camera and a communication link for transmitting an image from the built-in camera to the remote server. The remote server has an optical character recognition engine for generating a first confidence value based on an image from the mobile telephone, an object recognition engine for generating a second confidence value based on an image from the mobile telephone, a face recognition engine for generating a third confidence value based on an image from the mobile telephone, and an integrator module for receiving the first, second, and third confidence values and generating a recognition output.

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