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1. 发明授权

US08861844B2 Pre-computing digests for image similarity searching of image-based listings in a network-based publication system 有权
标题翻译：基于网络的出版系统中基于图像的列表的图像相似性搜索的预计算摘要
公开(公告)号：US08861844B2
公开(公告)日：2014-10-14
申请号：US13073911
申请日：2011-03-28
申请人： Naren Chittar , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper , Michael Schmitz
发明人： Naren Chittar , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper , Michael Schmitz
IPC分类号： G06K9/00 , G06K9/46 , G06K9/32 , G06F17/30
CPC分类号： G06F17/30277 , G06F17/30244 , G06F17/3025 , G06K9/3208 , G06K9/4642 , G06K9/4652 , G06T7/90
摘要： A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.
摘要翻译：可以是离线方法的系统和方法提取关于在基于网络的发布系统中列出项目的相关图像特征，以使得能够进行这样的列表项目的图像相似性搜索。当卖方列出项目时，上传该项目的图像，并且可以将其发送到图像处理服务，该图像处理服务生成多个摘要。摘要是每个表示特定图像特征（例如边缘，颜色，纹理或文字）的压缩数据结构。然后将这些摘要存储在搜索数据库中，其中可以使用摘要来按比例的图像相似度来检索列表。可以对查询列表执行类似的处理，以搜索与查询列表类似的项目的搜索数据库。

2. 发明申请

US20110235902A1 PRE-COMPUTING DIGESTS FOR IMAGE SIMILARITY SEARCHING OF IMAGE-BASED LISTINGS IN A NETWORK-BASED PUBLICATION SYSTEM 有权
标题翻译：基于网络的出版系统中基于图像的图像相似性搜索的预计算
公开(公告)号：US20110235902A1
公开(公告)日：2011-09-29
申请号：US13073911
申请日：2011-03-28
申请人： Naren Chittar , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper , Michael Schmitz
发明人： Naren Chittar , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper , Michael Schmitz
IPC分类号： G06K9/00
CPC分类号： G06F17/30277 , G06F17/30244 , G06F17/3025 , G06K9/3208 , G06K9/4642 , G06K9/4652 , G06T7/90
摘要： A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.
摘要翻译：可以是离线方法的系统和方法提取关于在基于网络的发布系统中列出项目的相关图像特征，以使得能够进行这样的列表项目的图像相似性搜索。当卖方列出项目时，上传该项目的图像，并且可以将其发送到图像处理服务，该图像处理服务生成多个摘要。摘要是每个表示特定图像特征（例如边缘，颜色，纹理或单词）的压缩数据结构。然后将这些摘要存储在搜索数据库中，其中可以使用摘要来按比例的图像相似度来检索列表。可以对查询列表执行类似的处理，以搜索与查询列表类似的项目的搜索数据库。

3. 发明申请

US20110238659A1 TWO-PASS SEARCHING FOR IMAGE SIMILARITY OF DIGESTS OF IMAGE-BASED LISTINGS IN A NETWORK-BASED PUBLICATION SYSTEM 有权
标题翻译：基于网络的出版系统中基于图像列表的图像的图像相似性的两次搜索
公开(公告)号：US20110238659A1
公开(公告)日：2011-09-29
申请号：US13073926
申请日：2011-03-28
申请人： Naren Chittar , Sanjay Pundlkrao Ghatare , Richard D. Henderson , Ryan McDonald , John Roper
发明人： Naren Chittar , Sanjay Pundlkrao Ghatare , Richard D. Henderson , Ryan McDonald , John Roper
IPC分类号： G06F17/30
CPC分类号： G06F17/30277 , G06F17/3025 , G06F17/30256
摘要： Using a processor, receiving, a query including a query image. A database is searched for a set of images similar to the query image, using a two-pass search. The results of the searching are then provided, the results including image members of the set of images similar to the query image. The first pass may be performed using a TF-IDF algorithm and the second pass ranks a predetermined number of results from the first pass by a best match algorithm or other type of algorithm. The type of second pass algorithm may be selectable by a user. If an end signal is not detected, a further two-pass search may be made based on a subsequent query having a subsequent query image. The subsequent query image may one of the results of the previous two pass search. A subsequent query image may change from an image of a product of a first product category to an image of a product of a second product category.
摘要翻译：使用处理器，接收包括查询图像的查询。使用双向搜索，搜索与查询图像相似的一组图像的数据库。然后提供搜索结果，结果包括类似于查询图像的图像集合的图像成员。可以使用TF-IDF算法执行第一遍，并且第二遍通过最佳匹配算法或其他类型的算法从第一遍中排列预定数量的结果。第二遍算法的类型可以由用户选择。如果没有检测到结束信号，则可以基于具有后续查询图像的后续查询进行另外的两遍搜索。后续查询图像可以是先前两次搜索的结果之一。随后的查询图像可以从第一产品类别的产品的图像改变为第二产品类别的商品的图像。

4. 发明授权

US08949252B2 Product category optimization for image similarity searching of image-based listings in a network-based publication system 有权
标题翻译：基于网络的出版系统中基于图像的列表的图像相似性搜索的产品类别优化
公开(公告)号：US08949252B2
公开(公告)日：2015-02-03
申请号：US13073936
申请日：2011-03-28
申请人： Naren Chittar , Sandip Gaikwad , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper
发明人： Naren Chittar , Sandip Gaikwad , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper
IPC分类号： G06F17/30 , G06Q30/00
CPC分类号： G06F17/30259 , G06F17/3025 , G06Q30/00
摘要： A weighted combination of attributes including but not limited to color, shape, pattern, brand, style, size, and material may be used to rank items when searching for similar items of a given category on an ecommerce system website. The weights on each attribute may be optimized by using feedback from users, the feedback indicating the importance of each attribute to a purchaser when searching for similar items of various categories. Alternatively, click-through patterns from the ecommerce system website can be mined and used to optimize the importance of each attribute to users by item category. The optimum attribute weights for that items category are used to rank the results in a search for similar items in that category.
摘要翻译：可以使用包括但不限于颜色，形状，图案，品牌，样式，大小和材料的属性的加权组合来在电子商务系统网站上搜索给定类别的类似项目时对项目进行排名。可以通过使用用户的反馈来优化每个属性的权重，反馈指示每个属性在搜索各种类别的类似项目时对购买者的重要性。或者，可以挖掘电子商务系统网站的点击式模式，并用于按项目类别优化每个属性对用户的重要性。该项目类别的最佳属性权重用于对搜索类别中类似项目的结果进行排序。

5. 发明申请

US20110314031A1 PRODUCT CATEGORY OPTIMIZATION FOR IMAGE SIMILARITY SEARCHING OF IMAGE-BASED LISTINGS IN A NETWORK-BASED PUBLICATION SYSTEM 有权
标题翻译：基于网络的出版系统中基于图像的图像相似搜索的产品类别优化
公开(公告)号：US20110314031A1
公开(公告)日：2011-12-22
申请号：US13073936
申请日：2011-03-28
申请人： Naren Chittar , Sandip Gaikwad , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper
发明人： Naren Chittar , Sandip Gaikwad , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper
IPC分类号： G06F17/30
CPC分类号： G06F17/30259 , G06F17/3025 , G06Q30/00
摘要： A weighted combination of attributes including but not limited to color, shape, pattern, brand, style, size, and material may be used to rank items when searching for similar items of a given category on an ecommerce system website. The weights on each attribute may be optimized by using feedback from users, the feedback indicating the importance of each attribute to a purchaser when searching for similar items of various categories. Alternatively, click-through patterns from the ecommerce system website can be mined and used to optimize the importance of each attribute to users by item category. The optimum attribute weights for that items category are used to rank the results in a search for similar items in that category.
摘要翻译：可以使用包括但不限于颜色，形状，图案，品牌，样式，大小和材料的属性的加权组合来在电子商务系统网站上搜索给定类别的类似项目时对项目进行排名。可以通过使用用户的反馈来优化每个属性的权重，反馈指示每个属性在搜索各种类别的类似项目时对购买者的重要性。或者，可以挖掘电子商务系统网站的点击式模式，并用于按项目类别优化每个属性对用户的重要性。该项目类别的最佳属性权重用于对搜索类别中类似项目的结果进行排序。

6. 发明授权

US09405773B2 Searching for more products like a specified product 有权
标题翻译：搜索更多的产品，如指定的产品
公开(公告)号：US09405773B2
公开(公告)日：2016-08-02
申请号：US13073926
申请日：2011-03-28
申请人： Naren Chittar , Sanjay Pundlkrao Ghatare , Richard D. Henderson , Ryan McDonald , John Roper
发明人： Naren Chittar , Sanjay Pundlkrao Ghatare , Richard D. Henderson , Ryan McDonald , John Roper
IPC分类号： G06F7/00 , G06F17/00 , G06F17/30
CPC分类号： G06F17/30277 , G06F17/3025 , G06F17/30256
摘要： Using a processor, receiving, a query including a query image. A database is searched for a set of images similar to the query image, using a two-pass search. The results of the searching are then provided, the results including image members of the set of images similar to the query image. The first pass may be performed using a TF-IDF algorithm and the second pass ranks a predetermined number of results from the first pass by a best match algorithm or other type of algorithm. The type of second pass algorithm may be selectable by a user. If an end signal is not detected, a further two-pass search may be made based on a subsequent query having a subsequent query image. The subsequent query image may be one of the results of the previous two pass search. A subsequent query image may change from an image of a product of a first product category to an image of a product of a second product category.
摘要翻译：使用处理器，接收包括查询图像的查询。使用双向搜索，搜索与查询图像相似的一组图像的数据库。然后提供搜索结果，结果包括类似于查询图像的图像集合的图像成员。可以使用TF-IDF算法执行第一遍，并且第二遍通过最佳匹配算法或其他类型的算法从第一遍中排列预定数量的结果。第二遍算法的类型可以由用户选择。如果没有检测到结束信号，则可以基于具有后续查询图像的后续查询进行另外的两遍搜索。后续查询图像可以是前两次搜索的结果之一。随后的查询图像可以从第一产品类别的产品的图像改变为第二产品类别的商品的图像。

7. 发明授权

US08750557B2 Identifying product metadata from an item image 有权
标题翻译：从项目图像中识别产品元数据
公开(公告)号：US08750557B2
公开(公告)日：2014-06-10
申请号：US13028019
申请日：2011-02-15
申请人： Sanjay Pundlkrao Ghatare , Ali Dasdan , Naren Chittar
发明人： Sanjay Pundlkrao Ghatare , Ali Dasdan , Naren Chittar
IPC分类号： G06K9/00
CPC分类号： G06F17/30253 , G06F17/30259 , G06Q30/02 , G06T7/11 , G06T7/162 , G06T7/194 , G06T7/90 , G06T2207/10024
摘要： A metadata extraction machine accesses an image that depicts an item and identifies an attribute of the item and a descriptor that specifies a value for the identified attribute. The machine identifies the attribute and the descriptor based on an analysis of the accessed image that includes distinguishing a foreground portion of the image from a background portion of the image. Distinguishing a foreground portion from the background portion may include segmenting the image to identify the foreground and background portions. Some or all of the analysis may be performed by the machine. The machine then stores the identified descriptor of the item as metadata of the item.
摘要翻译：元数据提取机访问描绘项目的图像，并且识别项目的属性和指定所识别的属性的值的描述符。该机器基于对所访问的图像的分析来识别属性和描述符，其包括将图像的前景部分与图像的背景部分区分开。从背景部分区分前景部分可以包括分割图像以识别前景和背景部分。部分或全部分析可以由机器执行。然后，机器将所识别的项目描述符存储为项目的元数据。

8. 发明申请

US20120207389A1 IDENTIFYING PRODUCT METADATA FROM AN ITEM IMAGE 有权
标题翻译：从项目图像识别产品元数据
公开(公告)号：US20120207389A1
公开(公告)日：2012-08-16
申请号：US13028019
申请日：2011-02-15
申请人： Sanjay Pundlkrao Ghatare , Ali Dasdan , Naren Chittar
发明人： Sanjay Pundlkrao Ghatare , Ali Dasdan , Naren Chittar
IPC分类号： G06K9/34 , G06K9/46
CPC分类号： G06F17/30253 , G06F17/30259 , G06Q30/02 , G06T7/11 , G06T7/162 , G06T7/194 , G06T7/90 , G06T2207/10024
摘要： A metadata extraction machine accesses an image that depicts an item and identifies an attribute of the item and a descriptor that specifies a value for the identified attribute. The machine identifies the attribute and the descriptor based on an analysis of the accessed image that includes distinguishing a foreground portion of the image from a background portion of the image. Distinguishing a foreground portion from the background portion may include segmenting the image to identify the foreground and background portions. Some or all of the analysis may be performed by the machine. The machine then stores the identified descriptor of the item as metadata of the item.
摘要翻译：元数据提取机访问描绘项目的图像，并且识别项目的属性和指定所识别的属性的值的描述符。该机器基于所访问的图像的分析来识别属性和描述符，其包括将图像的前景部分与图像的背景部分区分开。从背景部分区分前景部分可以包括分割图像以识别前景和背景部分。部分或全部分析可以由机器执行。然后，机器将所识别的项目描述符存储为项目的元数据。

9. 发明申请

US20100179956A1 ANALYZING QUERIES TO GENERATE PRODUCT INTENTION RULES 失效
标题翻译：分析产品产品认知规则的疑问
公开(公告)号：US20100179956A1
公开(公告)日：2010-07-15
申请号：US12684866
申请日：2010-01-08
申请人： Ravi Chandra Jammalamadaka , Naren Chittar , Sanjay Pundlkrao Ghatare
发明人： Ravi Chandra Jammalamadaka , Naren Chittar , Sanjay Pundlkrao Ghatare
IPC分类号： G06F17/30
CPC分类号： G06F17/30389 , G06Q30/02 , G06Q30/0603
摘要： A method to generate a first product intention rule is described. The method includes generating a keyword support value for a keyword in a query, the keyword support value representing a level of use of the keyword in one or more queries received at an e-commerce portal. A keyword confidence value is generated to represent uses of the keyword in the one or more queries associated with a purchase of a first product. A first product intention rule is generated based on the keyword support value transgressing a support threshold and the keyword confidence value transgressing a confidence threshold. The first product intention rule is stored in a database.
摘要翻译：描述产生第一产品意图规则的方法。所述方法包括为查询中的关键字生成关键字支持值，所述关键字支持值表示在电子商务门户接收到的一个或多个查询中关键字的使用水平。生成关键字置信度值以表示与购买第一产品相关联的一个或多个查询中的关键字的使用。基于超越支持阈值的关键字支持值和违反置信阈值的关键字置信度值来生成第一产品意图规则。第一个产品意图规则存储在数据库中。

10. 发明申请

US20120128239A1 IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM 有权
标题翻译：图像质量评估商品物品
公开(公告)号：US20120128239A1
公开(公告)日：2012-05-24
申请号：US13300305
申请日：2011-11-18
申请人： Anjan Goswami , Naren Chittar , Ali Dasdan , Sanjay Pundlkrao Ghatare , Sandip Namdeo Gaikwad , Sung Hwan Chung
发明人： Anjan Goswami , Naren Chittar , Ali Dasdan , Sanjay Pundlkrao Ghatare , Sandip Namdeo Gaikwad , Sung Hwan Chung
IPC分类号： G06K9/00 , G06K9/34 , G06K9/36
CPC分类号： G06Q30/0276 , G06F17/3025 , G06F17/30256 , G06F17/30259 , G06F17/30265 , G06F17/3053 , G06Q30/0243 , G06T7/0002 , G06T2207/30168
摘要： Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.
摘要翻译：基于图像的特征可能与描绘产品的图像的点击率显着相关，这可能为非正式概念提供更正式的基础，即与质量差的图像相比，高质量的图像将导致更好的点击率。因此，图像评估机被配置为分析基于图像的特征以提高购物搜索应用（例如，产品搜索引擎）的点击率。此外，图像评估机可以基于图像质量因素对搜索结果进行排序，并且可以通知卖方关于低质量图像。这可能会影响网上购物网站的品牌价值，从而对网络购物网站产生积极的长期影响。

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