Patents by Inventor Vidit Jain
Vidit Jain 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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Patent number: 11836187Abstract: In implementations of systems for generating occurrence contexts for objects in digital content collections, a computing device implements a context system to receive context request data describing an object that is depicted with additional objects in digital images of a digital content collection. The context system generates relationship embeddings for the object and each of the additional objects using a representation learning model trained to predict relationships for objects. A relationship graph is formed for the object that includes a vertex for each relationship between the object and the additional objects indicated by the relationship embeddings. The context system clusters the vertices of the relationship graph into contextual clusters that each represent an occurrence context of the object in the digital images of the digital content collection.Type: GrantFiled: October 26, 2020Date of Patent: December 5, 2023Assignee: Adobe Inc.Inventors: Manoj Kilaru, Vishwa Vinay, Vidit Jain, Shaurya Goel, Ryan A. Rossi, Pratyush Garg, Nedim Lipka, Harkanwar Singh
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Publication number: 20220129498Abstract: In implementations of systems for generating occurrence contexts for objects in digital content collections, a computing device implements a context system to receive context request data describing an object that is depicted with additional objects in digital images of a digital content collection. The context system generates relationship embeddings for the object and each of the additional objects using a representation learning model trained to predict relationships for objects. A relationship graph is formed for the object that includes a vertex for each relationship between the object and the additional objects indicated by the relationship embeddings. The context system clusters the vertices of the relationship graph into contextual clusters that each represent an occurrence context of the object in the digital images of the digital content collection.Type: ApplicationFiled: October 26, 2020Publication date: April 28, 2022Applicant: Adobe Inc.Inventors: Manoj Kilaru, Vishwa Vinay, Vidit Jain, Shaurya Goel, Ryan A. Rossi, Pratyush Garg, Nedim Lipka, Harkanwar Singh
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Patent number: 11227011Abstract: Users consume a wide variety of content from various sources, such as videos accessible through websites. As provided herein, content recommendations that are contextually and/or semantically relevant to current content consumed by a user may be identified and provided to the user. For example, metadata for a video being watched by the user may be identified (e.g., terms extracted from a description, user reviews, a category, and/or other information). The metadata may be used to identify content recommendations based upon the metadata corresponding to terms grouped into a set of refined topic groupings of a graph comprising terms and relationships between terms extracted from a content corpus. The metadata may be matched to relevant terms within the set of refined topic groupings, and content recommendations comprising content corresponding to the relevant terms may be suggested to the user.Type: GrantFiled: April 30, 2018Date of Patent: January 18, 2022Assignee: VERIZON MEDIA INC.Inventors: Vidit Jain, Abhranil Chatterjee
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Patent number: 10956987Abstract: The systems and methods herein may include receiving a plurality of transactions for a plurality of consumers, wherein each respective transaction of the plurality of transactions is between a consumer of the plurality of consumers and a merchant of a plurality of merchants; automatically inputting the plurality of transactions into a neural network; automatically analyzing the plurality of transactions over a plurality of iterations, wherein an iteration of the plurality of iterations comprises cycling through a consumer transaction history associated with the consumer, wherein the consumer transaction history has a consumer transaction sequence associated with the consumer; and automatically updating over the plurality of iterations, a previous fraud detection variable associated with the consumer and/or the merchant to generate updated fraud detection variables, in response to the analyzing the plurality of transactions.Type: GrantFiled: May 30, 2019Date of Patent: March 23, 2021Assignee: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.Inventors: Kamal Gupta, Vidit Jain
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Publication number: 20190279309Abstract: The systems and methods herein may include receiving a plurality of transactions for a plurality of consumers, wherein each respective transaction of the plurality of transactions is between a consumer of the plurality of consumers and a merchant of a plurality of merchants; automatically inputting the plurality of transactions into a neural network; automatically analyzing the plurality of transactions over a plurality of iterations, wherein an iteration of the plurality of iterations comprises cycling through a consumer transaction history associated with the consumer, wherein the consumer transaction history has a consumer transaction sequence associated with the consumer; and automatically updating over the plurality of iterations, a previous fraud detection variable associated with the consumer and/or the merchant to generate updated fraud detection variables, in response to the analyzing the plurality of transactions.Type: ApplicationFiled: May 30, 2019Publication date: September 12, 2019Applicant: American Express Travel Related Services Company, Inc.Inventors: Kamal Gupta, Vidit Jain
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Patent number: 10339606Abstract: The systems and methods herein may include receiving a plurality of transactions for a plurality of consumers, wherein each respective transaction of the plurality of transactions is between a consumer of the plurality of consumers and a merchant of a plurality of merchants; automatically inputting the plurality of transactions into a neural network; automatically analyzing the plurality of transactions over a plurality of iterations, wherein an iteration of the plurality of iterations comprises cycling through a consumer transaction history associated with the consumer, wherein the consumer transaction history has a consumer transaction sequence associated with the consumer; and automatically updating over the plurality of iterations, a previous fraud detection variable associated with the consumer and/or the merchant to generate updated fraud detection variables, in response to the analyzing the plurality of transactions.Type: GrantFiled: September 7, 2016Date of Patent: July 2, 2019Assignee: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.Inventors: Kamal Gupta, Vidit Jain
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Patent number: 10275525Abstract: A method and system for mining trends around trending terms. The method includes determining a plurality of articles, from one or more websites, in relation to a first entity for a time period. The first entity is a trending term. The method also includes generating comment clusters for the plurality of articles. Each comment cluster is generated for associated article and includes plurality of user comments. The method further includes extracting one or more entities from plurality of user comments for each of the comment clusters, the one or more entities related to the first entity. Further, the method includes enabling selection of a second entity, from the one or more entities, by the user. Moreover, the method includes rendering one or more user comments corresponding to the first entity and the second entity for the time period. The system includes an electronic device, communication interface, memory, and processor.Type: GrantFiled: June 14, 2012Date of Patent: April 30, 2019Assignee: Excalibur IP, LLCInventors: Vidit Jain, Nikhil Rasiwasia
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Patent number: 10176364Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.Type: GrantFiled: June 22, 2018Date of Patent: January 8, 2019Assignee: OATH INC.Inventors: Vidit Jain, Sachin Sudhakar Farfade
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Publication number: 20180300535Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.Type: ApplicationFiled: June 22, 2018Publication date: October 18, 2018Inventors: Vidit JAIN, Sachin Sudhakar FARFADE
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Publication number: 20180246990Abstract: Users consume a wide variety of content from various sources, such as videos accessible through websites. As provided herein, content recommendations that are contextually and/or semantically relevant to current content consumed by a user may be identified and provided to the user. For example, metadata for a video being watched by the user may be identified (e.g., terms extracted from a description, user reviews, a category, and/or other information). The metadata may be used to identify content recommendations based upon the metadata corresponding to terms grouped into a set of refined topic groupings of a graph comprising terms and relationships between terms extracted from a content corpus. The metadata may be matched to relevant terms within the set of refined topic groupings, and content recommendations comprising content corresponding to the relevant terms may be suggested to the user.Type: ApplicationFiled: April 30, 2018Publication date: August 30, 2018Inventors: Vidit Jain, Abhranil Chatterjee
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Patent number: 10007838Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.Type: GrantFiled: December 12, 2016Date of Patent: June 26, 2018Assignee: OATH, INC.Inventors: Vidit Jain, Sachin Sudhakar Farfade
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Patent number: 9959364Abstract: Users consume a wide variety of content from various sources, such as videos accessible through websites. As provided herein, content recommendations that are contextually and/or semantically relevant to current content consumed by a user may be identified and provided to the user. For example, metadata for a video being watched by the user may be identified (e.g., terms extracted from a description, user reviews, a category, and/or other information). The metadata may be used to identify content recommendations based upon the metadata corresponding to terms grouped into a set of refined topic groupings of a graph comprising terms and relationships between terms extracted from a content corpus. The metadata may be matched to relevant terms within the set of refined topic groupings, and content recommendations comprising content corresponding to the relevant terms may be suggested to the user.Type: GrantFiled: May 22, 2014Date of Patent: May 1, 2018Assignee: OATH INC.Inventors: Vidit Jain, Abhranil Chatterjee
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Publication number: 20180068395Abstract: The systems and methods herein may include receiving a plurality of transactions for a plurality of consumers, wherein each respective transaction of the plurality of transactions is between a consumer of the plurality of consumers and a merchant of a plurality of merchants; automatically inputting the plurality of transactions into a neural network; automatically analyzing the plurality of transactions over a plurality of iterations, wherein an iteration of the plurality of iterations comprises cycling through a consumer transaction history associated with the consumer, wherein the consumer transaction history has a consumer transaction sequence associated with the consumer; and automatically updating over the plurality of iterations, a previous fraud detection variable associated with the consumer and/or the merchant to generate updated fraud detection variables, in response to the analyzing the plurality of transactions.Type: ApplicationFiled: September 7, 2016Publication date: March 8, 2018Applicant: American Express Travel Related Services Company, Inc.Inventors: Kamal Gupta, Vidit Jain
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Publication number: 20170091530Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.Type: ApplicationFiled: December 12, 2016Publication date: March 30, 2017Inventors: Vidit JAIN, Sachin Sudhakar FARFADE
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Patent number: 9519659Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.Type: GrantFiled: May 15, 2013Date of Patent: December 13, 2016Assignee: Yahoo! Inc.Inventors: Vidit Jain, Sachin Sudhakar Farfade
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Publication number: 20150339381Abstract: Users consume a wide variety of content from various sources, such as videos accessible through websites. As provided herein, content recommendations that are contextually and/or semantically relevant to current content consumed by a user may be identified and provided to the user. For example, metadata for a video being watched by the user may be identified (e.g., terms extracted from a description, user reviews, a category, and/or other information). The metadata may be used to identify content recommendations based upon the metadata corresponding to terms grouped into a set of refined topic groupings of a graph comprising terms and relationships between terms extracted from a content corpus. The metadata may be matched to relevant terms within the set of refined topic groupings, and content recommendations comprising content corresponding to the relevant terms may be suggested to the user.Type: ApplicationFiled: May 22, 2014Publication date: November 26, 2015Applicant: Yahoo!, Inc.Inventors: Vidit Jain, Abhranil Chatterjee
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Patent number: 9177066Abstract: A method and system for displaying comments associated with a query. The method includes receiving the query provided by a user, retrieving a set of comment clusters from a comment cluster database, selecting engaging comments from each comment cluster included in the set of comment clusters, aggregating the engaging comments that are obtained from each comment cluster, identifying a plurality of independent comments included in a list of aggregated comments and displaying a list of engaging comments to the user. The system includes an electronic device, a communication interface and a memory. The system also includes a processor to receive the query, retrieve a set of comment clusters, select engaging comments from each comment cluster, aggregate the engaging comments, identify a plurality of independent comments and display a list of engaging comments to the user.Type: GrantFiled: June 14, 2012Date of Patent: November 3, 2015Assignee: Yahoo! Inc.Inventors: Vidit Jain, Sourangshu Bhattacharya
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Patent number: 9152948Abstract: A method and system for providing a structured topic drift for a displayed set of user comments on an article. The method includes determining an ordered sequence of topical recommendations based on one or more properties of the displayed set of user comments and user characteristics using a sequential recommendation model. The method also includes sampling one or more user comments for each of the topical recommendations. Further, the method includes appending, one by one, the one or more user comments for each of the topical recommendations to bottom of the displayed set of user comments. Moreover, the method includes updating the sequential recommendation model based on a user response to the one or more user comments for each of the topical recommendations. The system includes one or more electronic devices, a communication interface, a memory, and a processor.Type: GrantFiled: February 20, 2012Date of Patent: October 6, 2015Assignee: Yahoo! Inc.Inventor: Vidit Jain
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Publication number: 20140267219Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.Type: ApplicationFiled: May 15, 2013Publication date: September 18, 2014Applicant: YAHOO! INC.Inventors: Vidit Jain, Sachin Sudhakar Farfade
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Publication number: 20130339342Abstract: A method and system for displaying comments associated with a query. The method includes receiving the query provided by a user, retrieving a set of comment clusters from a comment cluster database, selecting engaging comments from each comment cluster included in the set of comment clusters, aggregating the engaging comments that are obtained from each comment cluster, identifying a plurality of independent comments included in a list of aggregated comments and displaying a list of engaging comments to the user. The system includes an electronic device, a communication interface and a memory. The system also includes a processor to receive the query, retrieve a set of comment clusters, select engaging comments from each comment cluster, aggregate the engaging comments, identify a plurality of independent comments and display a list of engaging comments to the user.Type: ApplicationFiled: June 14, 2012Publication date: December 19, 2013Applicant: YAHOO! INC.Inventors: Vidit JAIN, Sourangshu BHATTACHARYA