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1. 发明申请

US20150067471A1 CORRELATING IMAGE ANNOTATIONS WITH FOREGROUND FEATURES 审中-公开
标题翻译：将相关特征与图像相关联
公开(公告)号：US20150067471A1
公开(公告)日：2015-03-05
申请号：US14290754
申请日：2014-05-29
申请人： Anurag Bhardwaj , Robinson Piramuthu , Vicente Ordonez-Roman , Vignesh Jagadeesh , Wei Di
发明人： Anurag Bhardwaj , Robinson Piramuthu , Vicente Ordonez-Roman , Vignesh Jagadeesh , Wei Di
IPC分类号： G06T5/50
CPC分类号： G06F16/58
摘要： A machine may be configured to execute a machine-learning process for identifying and understanding fine properties of various items of various types by using images and associated corresponding annotations, such as titles, captions, tags, keywords, or other textual information applied to these images. By use of a machine-learning process, the machine may perform property identification accurately and without human intervention. These item properties may be used as annotations for other images that have similar features. Accordingly, the machine may answer user-submitted questions, such as “What do rustic items look like?,” and items or images depicting items that are deemed to be rustic can be readily identified, classified, ranked, or any suitable combination thereof.
摘要翻译：机器可以被配置为执行机器学习过程，以通过使用图像和相关联的对应注释来识别和理解各种各样的物品的精细属性，例如标题，标题，标签，关键字或应用于这些图像的其它文本信息。通过使用机器学习过程，机器可以准确地执行属性识别，而无需人为干预。这些项目属性可以用作具有相似特征的其他图像的注释。因此，机器可以回答用户提交的问题，例如“乡村产品看起来像什么？”，并且描绘被认为是乡村的项目的项目或图像可以容易地被识别，分类，排序或其任何合适的组合。

2. 发明申请

US20130084000A1 COMPLEMENTARY ITEM RECOMMENDATIONS USING IMAGE FEATURE DATA 有权
标题翻译：使用图像特征数据的补充项目建议
公开(公告)号：US20130084000A1
公开(公告)日：2013-04-04
申请号：US13631839
申请日：2012-09-28
申请人： Anurag Bhardwaj , Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Neelakantan Sundaresan
发明人： Anurag Bhardwaj , Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Neelakantan Sundaresan
IPC分类号： G06K9/00
CPC分类号： G06K9/66 , G06F17/30247 , G06F17/3025 , G06F17/30256 , G06F17/30268 , G06F17/30277 , G06F17/3053 , G06F17/30867 , G06K9/4642 , G06K9/4647 , G06K9/4652 , G06K9/6215 , G06K9/6217 , G06Q30/0629 , G06Q30/0631 , G06Q30/0643 , G06T7/13 , G06T7/41 , G06T7/90 , G06T2207/10024
摘要： An apparatus and method to facilitate finding complementary recommendations are disclosed herein. One or more fashion trend or pleasing color combination rules are determined based on data obtained from one or more sources. One or more template images and rule triggers corresponding to the fashion trend or pleasing color combination rules are generated, each of the rule triggers associated with at least one of the template images. A processor compares a first image attribute of a particular one of the template images to a second image attribute of each of a plurality of inventory images corresponding to the plurality of inventory items to identify the inventory items complementary to the query image. The particular one of the template images is selected based on the rule trigger corresponding to the particular one of the template images being applicable for a query image.
摘要翻译：本文公开了一种便于查找补充建议的装置和方法。基于从一个或多个源获得的数据来确定一个或多个时尚趋势或令人愉快的颜色组合规则。产生与时尚趋势或令人愉悦的颜色组合规则相对应的一个或多个模板图像和规则触发器，每个规则触发器与至少一个模板图像相关联。处理器将特定模板图像的第一图像属性与对应于多个清单项目的多个库存图像中的每一个的第二图像属性进行比较，以识别与查询图像互补的库存项目。基于与适用于查询图像的特定模板图像相对应的规则触发来选择特定模板图像。

3. 发明申请

US20150063688A1 SYSTEM AND METHOD FOR SCENE TEXT RECOGNITION 有权
标题翻译：用于场景文本识别的系统和方法
公开(公告)号：US20150063688A1
公开(公告)日：2015-03-05
申请号：US14479217
申请日：2014-09-05
申请人： Anurag Bhardwaj , Chen-Yu Lee , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di
发明人： Anurag Bhardwaj , Chen-Yu Lee , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di
IPC分类号： G06K9/18 , G06T11/60 , G06K9/62
CPC分类号： G06K9/18 , G06K9/3258 , G06K9/6231 , G06K9/6267 , G06K2009/4666 , G06T11/60
摘要： Apparatus and method for performing accurate text recognition of non-simplistic images (e.g., images with clutter backgrounds, lighting variations, font variations, non-standard perspectives, and the like) may employ a machine-learning approach to identify a discriminative feature set selected from among features computed for a plurality of irregularly positioned, sized, and/or shaped (e.g., randomly selected) image sub-regions.
摘要翻译：用于执行非简单图像（例如，具有杂波背景的图像，照明变化，字体变化，非标准透视等）的精确文本识别的装置和方法可以采用机器学习方法来识别所选择的区分特征集从针对多个不规则定位，尺寸和/或成形（例如，随机选择）的图像子区域计算的特征中。

4. 发明申请

US20140310304A1 SYSTEM AND METHOD FOR PROVIDING FASHION RECOMMENDATIONS 审中-公开
标题翻译：提供时尚建议的系统和方法
公开(公告)号：US20140310304A1
公开(公告)日：2014-10-16
申请号：US14109516
申请日：2013-12-17
申请人： Anurag Bhardwaj , Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Neelakantan Sundaresan
发明人： Anurag Bhardwaj , Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Neelakantan Sundaresan
IPC分类号： G06F17/30
CPC分类号： G06F16/532 , G06F16/583 , G06F16/951
摘要： Providing fashion recommendations based on an image of clothing. Color, pattern, and/or style information corresponding to the clothing may be identified and used to find relevant clothing and/or accessories in an inventory to recommend to a user. The image may be a video of clothing and/or accessories on a human body in motion. An area thereof may be sampled, detected and tracked across sequential frames of the video to obtain color, pattern, and/or style information which may be compared against clothing and/or accessories in an inventory to provide real-time (or near real-time) recommendations to the user. The image may comprise clothing of interest that is associated with a celebrity. The celebrity may be specified and the system returns recommendations of items in the inventory that are matching or complementary to the clothing/accessory of interest and which are consistent with the particular celebrity's fashion style.
摘要翻译：根据服装形象提供时尚推荐。可以识别与衣物相对应的颜色，图案和/或风格信息，并用于查找库存中的相关服装和/或附件以向用户推荐。该图像可以是运动中的人体上的服装和/或附件的视频。可以在视频的连续帧上对其区域进行采样，检测和跟踪，以获得可与库存中的服装和/或附件进行比较的颜色，图案和/或风格信息，以提供实时（或近似实时的）时间）推荐给用户。图像可以包括与名人相关联的感兴趣的衣服。可以指定名人，系统返回库存中符合或补充感兴趣的服装/配件的建议，并与特定名人的时尚风格一致。

5. 发明申请

US20150286898A1 IMAGE EVALUATION 有权
标题翻译：图像评估
公开(公告)号：US20150286898A1
公开(公告)日：2015-10-08
申请号：US14319224
申请日：2014-06-30
申请人： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
发明人： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
IPC分类号： G06K9/62 , G06Q30/06 , G06K9/46
CPC分类号： G06K9/6277 , G06F17/30259 , G06F17/30265 , G06K9/46 , G06K9/6267 , G06Q30/0201 , G06Q30/0601 , G06Q30/0613
摘要： A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.
摘要翻译：机器可以被配置为对描绘要出售的物品的图像执行图像评估，并提供用于改进描绘物品的图像以增加图像中描绘的物品的销售的建议。例如，机器访问用户行为分析的结果。机器从用户设备接收项目的图像。基于对接收到的图像的分析和用户行为分析的结果，机器对接收到的图像进行图像评估。图像评估的执行可以包括确定与所接收的图像有关的用户参与期望的用户行为的可能性。然后，机器基于接收到的图像的评估生成引用接收到的图像的输出，并且指示用户参与所期望的行为的可能性。

6. 发明申请

US20150278254A1 IMAGE-BASED RETRIEVAL AND SEARCHING 有权
标题翻译：基于图像的检索和搜索
公开(公告)号：US20150278254A1
公开(公告)日：2015-10-01
申请号：US14673523
申请日：2015-03-30
申请人： Anurag Bhardwaj , Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Zixuan Wang
发明人： Anurag Bhardwaj , Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Zixuan Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30247 , G06F17/30244 , G06K9/46 , G06K9/52
摘要： In various example embodiments, a system and method for image query are presented. A feature detector generates first feature description data of a first type. An image processor accesses feature codes and angle bins. The image processor generates second feature description data of a second type by comparing a plurality of groups with respective codes of the feature codes. Each of the plurality of groups comprises at least of portion of the first feature description data determined based at least on the feature codes and the angle bins. A search engine selects a first one of a plurality of stored feature description data linked to respective stored images. An interface provides an indication of the stored image linked to the first stored feature description data for display of the stored image linked to the first stored feature description data on a remote device.
摘要翻译：在各种示例实施例中，呈现用于图像查询的系统和方法。特征检测器生成第一类型的第一特征描述数据。图像处理器访问特征码和角度仓。图像处理器通过将多个组与特征码的各个代码进行比较来生成第二类型的第二特征描述数据。所述多个组中的每一个至少包括至少部分基于特征码和角度位置确定的第一特征描述数据的一部分。搜索引擎选择与相应存储的图像相链接的多个存储的特征描述数据中的第一个。接口提供与存储的第一个特征描述数据相关联的存储的图像的指示，用于显示与远程设备上的第一存储的特征描述数据链接的存储的图像。

7. 发明申请

US20150063681A1 ESTIMATING DEPTH FROM A SINGLE IMAGE 有权
标题翻译：从单一图像估计深度
公开(公告)号：US20150063681A1
公开(公告)日：2015-03-05
申请号：US14288233
申请日：2014-05-27
申请人： Anurag Bhardwaj , Mohammad Haris Baig , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di
发明人： Anurag Bhardwaj , Mohammad Haris Baig , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di
IPC分类号： G06F17/30
CPC分类号： G06T7/50 , G06F17/3025 , G06F17/30256 , G06F17/30262 , G06F17/30277 , G06K9/00208 , G06K9/4609 , G06T7/194 , G06T7/62 , G06T2207/10024 , G06T2207/10028 , G06T2207/20081
摘要： During a training phase, a machine accesses reference images with corresponding depth information. The machine calculates visual descriptors and corresponding depth descriptors from this information. The machine then generates a mapping that correlates these visual descriptors with their corresponding depth descriptors. After the training phase, the machine may perform depth estimation based on a single query image devoid of depth information. The machine may calculate one or more visual descriptors from the single query image and obtain a corresponding depth descriptor for each visual descriptor from the generated mapping. Based on obtained depth descriptors, the machine creates depth information that corresponds to the submitted single query image.
摘要翻译：在训练阶段，机器访问具有相应深度信息的参考图像。该机器根据该信息计算视觉描述符和相应的深度描述符。然后，机器生成将这些可视描述符与其相应的深度描述符相关联的映射。在训练阶段之后，机器可以基于没有深度信息的单个查询图像来执行深度估计。机器可以从单个查询图像计算一个或多个可视描述符，并从所生成的映射中获得每个可视描述符的相应深度描述符。基于获得的深度描述符，机器创建与提交的单个查询图像相对应的深度信息。

8. 发明授权

US10013710B2 Fashion preference analysis 有权
公开(公告)号：US10013710B2
公开(公告)日：2018-07-03
申请号：US14326125
申请日：2014-07-08
申请人： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
发明人： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
IPC分类号： G06Q30/00 , G06Q30/06 , G06K9/00
CPC分类号： G06Q30/0631 , G06K9/00362
摘要： A machine may be configured to determine fashion preferences of users and to provide item recommendations to the users based on the users' fashion preferences. For example, the machine receives an image of a user and a set of spatial data indicating a position of the body of the user in a three-dimensional space. The machine may perform an analysis of the image and the set of spatial data. The performing of the analysis may include extracting, from the image, an image swatch that depicts a portion of an item worn by the user. The machine may identify a fashion preference of the user based on the analysis of the image and of the set of spatial data. The machine may identify an item that corresponds to the fashion preference of the user within an inventory of fashion items and may generate a recommendation of the identified fashion item.

9. 发明申请

US20150302505A1 FASHION PREFERENCE ANALYSIS 有权
标题翻译：时尚偏好分析
公开(公告)号：US20150302505A1
公开(公告)日：2015-10-22
申请号：US14326125
申请日：2014-07-08
申请人： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
发明人： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
IPC分类号： G06Q30/06 , G06K9/00
CPC分类号： G06Q30/0631 , G06K9/00362
摘要： A machine may be configured to determine fashion preferences of users and to provide item recommendations to the users based on the users' fashion preferences. For example, the machine receives an image of a user and a set of spatial data indicating a position of the body of the user in a three-dimensional space. The machine may perform an analysis of the image and the set of spatial data. The performing of the analysis may include extracting, from the image, an image swatch that depicts a portion of an item worn by the user. The machine may identify a fashion preference of the user based on the analysis of the image and of the set of spatial data. The machine may identify an item that corresponds to the fashion preference of the user within an inventory of fashion items and may generate a recommendation of the identified fashion item.
摘要翻译：机器可以被配置为确定用户的时尚偏好并且基于用户的时尚偏好来向用户提供项目建议。例如，机器接收用户的图像和指示用户身体在三维空间中的位置的一组空间数据。机器可以对图像和空间数据集进行分析。分析的执行可以包括从图像中提取描绘用户佩戴的项目的一部分的图像样本。该机器可以基于对图像和该组空间数据的分析来识别用户的时尚偏好。机器可以识别与时尚项目的库存中的用户的时尚偏好相对应的项目，并且可以生成所识别的时尚项目的推荐。

10. 发明申请

US20160117587A1 HIERARCHICAL DEEP CONVOLUTIONAL NEURAL NETWORK FOR IMAGE CLASSIFICATION 审中-公开
标题翻译：用于图像分类的分层深层神经网络
公开(公告)号：US20160117587A1
公开(公告)日：2016-04-28
申请号：US14582059
申请日：2014-12-23
申请人： Zhicheng Yan , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di , Dennis Decoste
发明人： Zhicheng Yan , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di , Dennis Decoste
IPC分类号： G06N3/08 , G06N3/04
CPC分类号： G06N3/08 , G06N3/04 , G06N3/0454 , G06N3/084
摘要： Hierarchical branching deep convolutional neural networks (HD-CNNs) improve existing convolutional neural network (CNN) technology. In a HD-CNN, classes that can be easily distinguished are classified in a higher layer coarse category CNN, while the most difficult classifications are done on lower layer fine category CNNs. Multinomial logistic loss and a novel temporal sparsity penalty may be used in HD-CNN training. The use of multinomial logistic loss and a temporal sparsity penalty causes each branching component to deal with distinct subsets of categories.
摘要翻译：分层分支深卷积神经网络（HD-CNN）改进了现有的卷积神经网络（CNN）技术。在HD-CNN中，可以容易地区分的类分类为较高层粗类CNN，而最难分类则在下层精细类别CNN上完成。多项式物流损失和新颖的时间稀疏性惩罚可用于HD-CNN训练。使用多项物流损失和时间稀疏惩罚导致每个分支组件处理不同的类别子集。

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