Patents by Inventor Robinson Piramuthu
Robinson Piramuthu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20190266451Abstract: An image is passed through an image identifier to identify a coarse category for the image and a bounding box for a categorized object. A mask is used to identify the portion of the image that represents the object. Given the foreground mask, the convex hull of the mask is located and an aligned rectangle of minimum area that encloses the hull is fitted. The aligned bounding box is rotated and scaled, so that the foreground object is roughly moved to a standard orientation and size (referred to as calibrated). The calibrated image is used as an input to a fine-grained categorization module, which determines the fine category within the coarse category for the input image.Type: ApplicationFiled: March 28, 2019Publication date: August 29, 2019Inventors: Mohammadhadi Kiapour, Wei Di, Vignesh Jagadeesh, Robinson Piramuthu
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Patent number: 10387773Abstract: 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.Type: GrantFiled: December 23, 2014Date of Patent: August 20, 2019Assignee: eBay Inc.Inventors: Zhicheng Yan, Robinson Piramuthu, Vignesh Jagadeesh, Wei Di, Dennis Decoste
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Publication number: 20190244271Abstract: Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.Type: ApplicationFiled: April 18, 2019Publication date: August 8, 2019Applicant: eBay Inc.Inventors: Robinson Piramuthu, Timothy Samuel Keefer, Kenneth Clark Crookston, Ashmeet Singh Rekhi, Niaz Ahamed Khaja Nazimudeen, Padmapriya Gudipati, Shane Lin, John F. Weigel, Fujun Zhong, Suchitra Ramesh, Mohammadhadi Kiapour, Shuai Zheng, Alberto Ordonez Pereira, Ravindra Surya Lanka, Md Atiq ul Islam, Nicholas Anthony Whyte, Giridharan Iyengar, Bryan Allen Plummer
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Publication number: 20190205962Abstract: Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.Type: ApplicationFiled: December 28, 2018Publication date: July 4, 2019Applicant: eBay Inc.Inventors: Robinson Piramuthu, Timothy Samuel Keefer, Kenneth Clark Crookston, Ashmeet Singh Rekhi, Niaz Ahamed Khaja Nazimudeen, Padmapriya Gudipati, Shane Lin, John F. Weigel, Fujun Zhong, Suchitra Ramesh, Mohammadhadi Kiapour, Shuai Zheng, Alberto Ordonez Pereira, Ravindra Surya Lanka, Md Atiq ul Islam, Nicholas Anthony Whyte, Giridharan Iyengar, Bryan Allen Plummer
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Publication number: 20190205646Abstract: Techniques and systems are described that leverage computer vision as part of search to expand functionality of a computing device available to a user and increase operational computational efficiency as well as efficiency in user interaction. In a first example, user interaction with items of digital content is monitored. Computer vision techniques are used to identify digital images in the digital content, objects within the digital images, and characteristics of those objects. This information is used to assign a user to a user segment of a user population which is then used to control output of subsequent digital content to the user, e.g., recommendations, digital marketing content, and so forth.Type: ApplicationFiled: December 28, 2018Publication date: July 4, 2019Applicant: eBay Inc.Inventors: Robinson Piramuthu, Timothy Samuel Keefer, Ashmeet Singh Rekhi, Padmapriya Gudipati, Mohammadhadi Kiapour, Shuai Zheng, Md Atiq ul Islam, Nicholas Anthony Whyte, Giridharan Iyengar
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Publication number: 20190205333Abstract: Computer vision for unsuccessful queries and iterative search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and describing them, e.g., using feature vectors. In some aspects, these visual characteristics are determined for search queries that are identified as not being successful. Aggregated information describing visual characteristics of images of unsuccessful search queries is used to determine common visual characteristics and objects depicted in those images. This information can be used to inform other users about unmet needs of searching users. In some aspects, these visual characteristics are used in connection with iterative image searches where users select an initial query image and then the search results are iteratively refined.Type: ApplicationFiled: December 28, 2018Publication date: July 4, 2019Applicant: eBay Inc.Inventors: Robinson Piramuthu, Timothy Samuel Keefer, Ashmeet Singh Rekhi, Padmapriya Gudipati, Mohammadhadi Kiapour, Shuai Zheng, Alberto Ordonez Pereira, Ravindra Surya Lanka, Md Atiq ul Islam, Nicholas Anthony Whyte, Giridharan Iyengar, Bryan Allen Plummer
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Patent number: 10332188Abstract: A method, system, and article of manufacture for recommending items for a room. An image of a room is received, a box image is fitted to the image of the room. Information is extracted from the fitted box image and is used for recommending items for the room. The image is a color image and extracting information is done by extracting color histograms from the fitted box image. The color histograms are used to determine items that match the color scheme of the room, the lighting of the room, and/or the decorating style of the room.Type: GrantFiled: June 15, 2016Date of Patent: June 25, 2019Assignee: eBay Inc.Inventors: Anurag Bhardwaj, Robinson Piramuthu, Neelakantan Sundaresan
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Patent number: 10319019Abstract: In various example embodiments, a system and method for a Listing Engine that translates a first listing from a first language to a second language. The first listing includes an image(s) of a first item. The Listing Engine provides as input to an encoded neural network model a portion(s) of a translated first listing and a portions(s) of a second listing in the second language. The second listing includes an image(s) of a second item. The Listing Engine receives from the encoded neural network model a first feature vector for the translated first listing and a second feature vector for the second listing. The first and the second feature vectors both include at least one type of image signature feature and at least one type of listing text-based feature.Type: GrantFiled: September 14, 2016Date of Patent: June 11, 2019Assignee: eBay Inc.Inventors: Sanjika Hewavitharana, Evgeny Matusov, Robinson Piramuthu, Hassan Sawaf
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Patent number: 10282642Abstract: An image is passed through an image identifier to identify a coarse category for the image and a bounding box for a categorized object. A mask is used to identify the portion of the image that represents the object. Given the foreground mask, the convex hull of the mask is located and an aligned rectangle of minimum area that encloses the hull is fitted. The aligned bounding box is rotated and scaled, so that the foreground object is roughly moved to a standard orientation and size (referred to as calibrated). The calibrated image is used as an input to a fine-grained categorization module, which determines the fine category within the coarse category for the input image.Type: GrantFiled: October 19, 2017Date of Patent: May 7, 2019Assignee: eBay Inc.Inventors: Mohammadhadi Kiapour, Wei Di, Vignesh Jagadeesh, Robinson Piramuthu
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Publication number: 20190122083Abstract: A machine may he 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.Type: ApplicationFiled: December 19, 2018Publication date: April 25, 2019Inventors: Wei Di, Vignesh Jagadeesh, Robinson Piramuthu, Elizabeth Churchill, Anurag Bhardwaj
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Patent number: 10270965Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for facilitating automatic-guided image capturing and presentation are presented. In some embodiments, the method includes capturing an image of an item, removing automatically a background of the image frame, performing manual mask editing, generating an item listing, inferring item information from the image frame and automatically applying the inferred item information to an item listing form, and presenting an item listing in an augmented reality environment.Type: GrantFiled: November 28, 2016Date of Patent: April 23, 2019Assignee: eBay Inc.Inventors: Robinson Piramuthu, Wen Zheng
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Publication number: 20190114515Abstract: An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.Type: ApplicationFiled: November 29, 2018Publication date: April 18, 2019Inventors: Anurag Bhardwaj, Robinson Piramuthu, Neelakantan Sundaresan
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Patent number: 10255686Abstract: 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.Type: GrantFiled: January 18, 2017Date of Patent: April 9, 2019Assignee: eBay Inc.Inventors: Anurag Bhardwaj, Mohammad Haris Baig, Robinson Piramuthu, Vignesh Jagadeesh, Wei Di
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Publication number: 20190080172Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.Type: ApplicationFiled: December 29, 2017Publication date: March 14, 2019Applicant: eBay Inc.Inventors: Shuai Zheng, Fan Yang, Mohammadhadi Kiapour, Qiaosong Wang, Japjit S. Tulsi, Robinson Piramuthu
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Publication number: 20190080171Abstract: Camera platform and object inventory control techniques are described. In an implementation a live feed of digital images is output in a user interface by a computing device. A user selection is received through interaction with the user interface of at least one of the digital images. An object, included within the at least one digital image, is recognized using machine learning. Metadata is then obtained that pertains to the recognized object. Augmented reality digital content is generated based at least in part of the obtained metadata. The augmented reality digital content is displayed as part of the live feed of digital images as associated with the object.Type: ApplicationFiled: December 29, 2017Publication date: March 14, 2019Applicant: eBay Inc.Inventors: Shuai Zheng, Fan Yang, Mohammadhadi Kiapour, Qiaosong Wang, Japjit S. Tulsi, Robinson Piramuthu
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Publication number: 20190057280Abstract: In various example embodiments, a system and method for determining an item that has confirmed characteristics are described herein. An image that depicts an object is received from a client device. Structured data that corresponds to characteristics of one or more items are retrieved. A set of characteristics is determined, the set of characteristics being predicted to match with the object. An interface that includes a request for confirmation of the set of characteristics is generated. The interface is displayed on the client device. Confirmation that at least one characteristic from the set of characteristics matches with the object depicted in the image is received from the client device.Type: ApplicationFiled: October 24, 2018Publication date: February 21, 2019Inventors: Ajinkya Gorakhnath Kale, Mohammadhadi Kiapour, Robinson Piramuthu, Fan Yang, Qiaosong Wang
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Patent number: 10198654Abstract: In various example embodiments, a system and method are provided for automated estimation of a saliency map for an image based on a graph structure comprising nodes corresponding to respective superpixels on the image, the graph structure including boundary-connecting nodes that connects each non-boundary node to one or more boundary regions. Each non-boundary node is in some embodiments connected to all boundary nodes by respective boundary-connecting edges forming part of the graph. Edge weights are calculated to generate a weighted graph. Saliency map estimation comprises bringing respective nodes for similarity to a background query. The edge weights of at least some of the edges are in some embodiments calculated as a function of a geodesic distance or shortest path between the corresponding nodes.Type: GrantFiled: June 24, 2016Date of Patent: February 5, 2019Assignee: eBay Inc.Inventors: Qiaosong Wang, Wen Zheng, Robinson Piramuthu
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Publication number: 20190035179Abstract: Systems and methods to fit an image of an inventory part are described. In one aspect, a method includes receiving images of items over a computer network from a server, capturing a live video image of an object using a camera, playing the live video of the object on an electronic display, and continually refitting an image of a first item from the received images of items to the object as the object changes perspective in the video by applying an affine transformation to the image of the first item.Type: ApplicationFiled: October 2, 2018Publication date: January 31, 2019Inventors: Anurag Bhardwaj, Robinson Piramuthu, Neelakantan Sundaresan
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Patent number: 10185899Abstract: An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.Type: GrantFiled: November 9, 2015Date of Patent: January 22, 2019Assignee: eBay Inc.Inventors: Anurag Bhardwaj, Robinson Piramuthu, Neelakantan Sundaresan
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Patent number: 10176406Abstract: A machine may be configured to perform image evaluation of images depicting items for online publishing. For example, the machine performing a user behavior analysis based on data pertaining to interactions by a plurality of users with a plurality of images pertaining to a particular type of item. The machine determines, based on the user behavior analysis, that a presentation type associated with one or more images of the plurality of images corresponds to a user behavior in relation to the one or more images. The machine determines that an item included in a received image is of the particular type of item. The machine generates an output for display in a client device. The output includes a reference to the received image and a recommendation of the presentation type for the item included in the received image, for publication by a web server of a publication system.Type: GrantFiled: May 10, 2016Date of Patent: January 8, 2019Assignee: eBay Inc.Inventors: Wei Di, Vignesh Jagadeesh, Robinson Piramuthu, Elizabeth Churchill, Anurag Bhardwaj