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1. 发明授权

US08891883B2 Summarizing a photo album in a social network system 有权
标题翻译：在社交网络系统中总结相册
公开(公告)号：US08891883B2
公开(公告)日：2014-11-18
申请号：US13489407
申请日：2012-06-05
申请人： Erik Murphy-Chutorian , Chuck Joseph Rosenberg , Shengyang Dai , Ehud Rivlin , Mei Han , Kyle Heath
发明人： Erik Murphy-Chutorian , Chuck Joseph Rosenberg , Shengyang Dai , Ehud Rivlin , Mei Han , Kyle Heath
IPC分类号： G06K9/62
CPC分类号： G06K9/00456 , G06K9/00221 , G06K9/00677 , G06K9/62 , G06K9/6267 , G06K2009/00328
摘要： Embodiments generally relate to summarizing a photo album in a social network system. In one embodiment, a method includes grouping photos into a plurality of groups of photos, and selecting a plurality of representative photos, where each representative photo represents a respective group from the plurality of groups, where the selecting is based on a quality score of each of the photos, and where each quality score is based on different types of attributes. The method also includes enabling the plurality of representative photos to be shared.
摘要翻译：实施例通常涉及在社交网络系统中总结相册。在一个实施例中，一种方法包括将照片分组成多组照片，并且选择多个代表照片，其中每个代表照片表示来自多个组的相应组，其中选择基于每个组的质量得分的照片，每个质量得分都基于不同类型的属性。该方法还包括使多个代表性照片能够共享。

2. 发明申请

US20140301653A1 SUMMARIZING A PHOTO ALBUM IN A SOCIAL NETWORK SYSTEM 有权
标题翻译：在社交网络系统中总结照片
公开(公告)号：US20140301653A1
公开(公告)日：2014-10-09
申请号：US13489407
申请日：2012-06-05
申请人： Erik Murphy-Chutorian , Chuck Joseph Rosenberg , Shengyang Dai , Ehud Rivlin , Mei Han , Kyle Heath
发明人： Erik Murphy-Chutorian , Chuck Joseph Rosenberg , Shengyang Dai , Ehud Rivlin , Mei Han , Kyle Heath
IPC分类号： G06K9/62
CPC分类号： G06K9/00456 , G06K9/00221 , G06K9/00677 , G06K9/62 , G06K9/6267 , G06K2009/00328
摘要： Embodiments generally relate to summarizing a photo album in a social network system. In one embodiment, a method includes grouping photos into a plurality of groups of photos, and selecting a plurality of representative photos, where each representative photo represents a respective group from the plurality of groups, where the selecting is based on a quality score of each of the photos, and where each quality score is based on different types of attributes. The method also includes enabling the plurality of representative photos to be shared.
摘要翻译：实施例通常涉及在社交网络系统中总结相册。在一个实施例中，一种方法包括将照片分组成多组照片，并且选择多个代表照片，其中每个代表照片表示来自多个组的相应组，其中选择基于每个组的质量得分的照片，每个质量得分都基于不同类型的属性。该方法还包括使多个代表性照片能够共享。

3. 发明授权

US09043316B1 Visual content retrieval 有权
标题翻译：视觉内容检索
公开(公告)号：US09043316B1
公开(公告)日：2015-05-26
申请号：US13433137
申请日：2012-03-28
申请人： Erik Murphy-Chutorian , Charles J. Rosenberg , Nemanja Petrovic , Sergey Ioffe , Sean O'Malley
发明人： Erik Murphy-Chutorian , Charles J. Rosenberg , Nemanja Petrovic , Sergey Ioffe , Sean O'Malley
IPC分类号： G06F17/30 , G06K9/46
CPC分类号： G06K9/46 , G06F17/30247 , G06F17/30265
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating image search results. One of the methods includes receiving first image search results responsive to a text query, each first image search result associated with a respective first score indicating a relevance of an image represented by the first image search result to the text query. Second image search results responsive to a query image are received, each second image search result associated with a respective second score indicating a measure of similarity between an image represented by the second image search result and the query image. A set of final image search results is selected including combining first scores and second scores of the selected first image search results. The final image search results are ordered by similarity to the query image.
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计算机程序，用于产生图像搜索结果。方法之一包括响应于文本查询接收第一图像搜索结果，每个第一图像搜索结果与相应的第一分数相关联，所述第一分数指示由第一图像搜索结果表示的图像与文本查询的相关性。接收响应于查询图像的第二图像搜索结果，每个第二图像搜索结果与相应的第二分数相关联，指示由第二图像搜索结果表示的图像与查询图像之间的相似度的度量。选择一组最终图像搜索结果，包括组合所选择的第一图像搜索结果的第一分数和第二分数。最终图像搜索结果与查询图像相似。

4. 发明授权

US08478052B1 Image classification 有权
公开(公告)号：US08478052B1
公开(公告)日：2013-07-02
申请号：US12505240
申请日：2009-07-17
申请人： Yangli Hector Yee , Samy Bengio , Charles Rosenberg , Erik Murphy-Chutorian
发明人： Yangli Hector Yee , Samy Bengio , Charles Rosenberg , Erik Murphy-Chutorian
IPC分类号： G06K9/66
CPC分类号： G06F17/30253 , G06F17/30244 , G06F17/30864 , G06K9/4676 , G06K9/6256 , G06K9/66 , G06K2209/01
摘要： An image classification system trains an image classification model to classify images relative to text appearing with the images. Training images are iteratively selected and classified by the image classification model according to feature vectors of the training images. An independent model is trained for unique n-grams of text. The image classification system obtains text appearing with an image and parses the text into candidate labels for the image. The image classification system determines whether an image classification model has been trained for the candidate labels. When an image classification model corresponding to a candidate label has been trained, the image classification subsystem classifies the image relative to the candidate label. The image is labeled based on candidate labels for which the image is classified as a positive image.

5. 发明授权

US08515212B1 Image relevance model 有权
公开(公告)号：US08515212B1
公开(公告)日：2013-08-20
申请号：US12505287
申请日：2009-07-17
申请人： Samy Bengio , Erik Murphy-Chutorian , Yangli Hector Yee , Charles Rosenberg
发明人： Samy Bengio , Erik Murphy-Chutorian , Yangli Hector Yee , Charles Rosenberg
IPC分类号： G06F17/30268 , G06K9/66 , G06K9/6256 , G06F17/30265 , G06F17/30244 , G06F17/30247
CPC分类号： G06F17/30256 , G06F17/30271 , G06K9/6223 , G06K9/6262
摘要： Methods, systems, and apparatus, including computer program products, for identifying images relevant to a query are disclosed. An image search subsystem selects images to reference in image search results that are responsive to a query based on an image relevance model that is trained for the query. An independent image relevance model is trained for each unique query that is identified by the image search subsystem. The image relevance models can be applied to images to order image search results obtained for the query. Each relevance model is trained based on content feature values of images that are identified as being relevant to the query (e.g., frequently selected from the image search results) and images that are identified as being relevant to another unique query. The trained model is applied to the content feature values of all known images to generate an image relevance score that can be used to order search results for the query.

6. 发明授权

US09053115B1 Query image search 有权
标题翻译：查询图像搜索
公开(公告)号：US09053115B1
公开(公告)日：2015-06-09
申请号：US13592850
申请日：2012-08-23
申请人： Charles J. Rosenberg , Jingbin Wang , Sarah Moussa , Erik Murphy-Chutorian , Andrea Frome , Yoram Singer , Radhika Malpani
发明人： Charles J. Rosenberg , Jingbin Wang , Sarah Moussa , Erik Murphy-Chutorian , Andrea Frome , Yoram Singer , Radhika Malpani
IPC分类号： G06F17/30
CPC分类号： G06F17/301 , G06F17/30247 , G06F17/30268
摘要： Methods, systems and apparatus for identifying result images for a query image. One or more labels that are associated with the query image are obtained. Candidate images matching the query labels are identified. Visual similarity scores are generated for the candidate images. Each visual similarity score represents the visual similarity of a respective candidate image to the query image. Relevance scores are generated for each of the candidate images based on the visual similarity scores. Each relevance score represents a measure of relevance of the respective candidate images to the query image. The candidate images are ranked based on the relevance scores, a highest ranking subset of the candidate images being identified as result images and referenced by image search results. The result images can be candidate images that satisfy a similarity condition relative to the query image and other result images.
摘要翻译：用于识别查询图像的结果图像的方法，系统和装置。获得与查询图像相关联的一个或多个标签。识别符合查询标签的候选图像。为候选图像生成视觉相似性分数。每个视觉相似性分数表示相应候选图像与查询图像的视觉相似度。基于视觉相似性得分，针对每个候选图像生成相关性分数。每个相关性分数表示各个候选图像与查询图像的相关度的度量。候选图像基于相关性分数进行排序，候选图像的最高排名子集被识别为结果图像并且由图像搜索结果引用。结果图像可以是满足相对于查询图像和其他结果图像的相似性条件的候选图像。

7. 发明授权

US08983941B1 Visual content retrieval 有权
公开(公告)号：US08983941B1
公开(公告)日：2015-03-17
申请号：US13621039
申请日：2012-09-15
申请人： Erik Murphy-Chutorian , Charles J. Rosenberg , Nemanja Petrovic , Sergey Ioffe , Sean O'Malley
发明人： Erik Murphy-Chutorian , Charles J. Rosenberg , Nemanja Petrovic , Sergey Ioffe , Sean O'Malley
IPC分类号： G06F17/30
CPC分类号： G06K9/46 , G06F17/30247 , G06F17/30265
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating image search results. One of the methods includes receiving first image search results responsive to a text query, each first image search result associated with a respective first score indicating a relevance of an image represented by the first image search result to the text query. Second image search results responsive to a query image are received, each second image search result associated with a respective second score indicating a measure of similarity between an image represented by the second image search result and the query image. A set of final image search results is selected including combining first scores and second scores of the selected first image search results. The final image search results are ordered by similarity to the query image.

8. 发明授权

US08429173B1 Method, system, and computer readable medium for identifying result images based on an image query 有权
标题翻译：用于基于图像查询来识别结果图像的方法，系统和计算机可读介质
公开(公告)号：US08429173B1
公开(公告)日：2013-04-23
申请号：US12763466
申请日：2010-04-20
申请人： Charles Rosenberg , Jingbin Wang , Sarah Moussa , Erik Murphy-Chutorian , Andrea Frome , Yoram Singer , Radhika Malpani
发明人： Charles Rosenberg , Jingbin Wang , Sarah Moussa , Erik Murphy-Chutorian , Andrea Frome , Yoram Singer , Radhika Malpani
IPC分类号： G06F17/30
CPC分类号： G06F17/301 , G06F17/30247 , G06F17/30268
摘要： Methods, systems and apparatus for identifying result images for a query image. One or more labels that are associated with the query image are obtained. Candidate images matching the query labels are identified. Visual similarity scores are generated for the candidate images. Each visual similarity score represents the visual similarity of a respective candidate image to the query image. Relevance scores are generated for each of the candidate images based on the visual similarity scores. Each relevance score represents a measure of relevance of the respective candidate images to the query image. The candidate images are ranked based on the relevance scores, a highest ranking subset of the candidate images being identified as result images and referenced by image search results. The result images can be candidate images that satisfy a similarity condition relative to the query image and other result images.
摘要翻译：用于识别查询图像的结果图像的方法，系统和装置。获得与查询图像相关联的一个或多个标签。识别符合查询标签的候选图像。为候选图像生成视觉相似性分数。每个视觉相似性分数表示相应候选图像与查询图像的视觉相似度。基于视觉相似性得分，针对每个候选图像生成相关性分数。每个相关性分数表示各个候选图像与查询图像的相关度的度量。候选图像基于相关性分数进行排序，候选图像的最高排名子集被识别为结果图像并且由图像搜索结果引用。结果图像可以是满足相对于查询图像和其他结果图像的相似性条件的候选图像。

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