Patents by Inventor Avinash Vemuluru
Avinash Vemuluru 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: 11797632Abstract: The present disclosure relates to systems, devices, and methods for a visual exploration of search engine results. The systems, devices, and methods may present, in response to receiving the search engine results for a query to perform a task, a search result webpage with a cascading waterfall layout that includes a plurality of images from a plurality of webpages included in the search results. The search result webpage may also present, adjacent to the plurality of images, structured data corresponding to a selected image from the plurality of images where the structured data includes details from the webpage to complete the task.Type: GrantFiled: March 1, 2021Date of Patent: October 24, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Nikita Astrakhantsev, Parthasarathy Govindarajen, Nektarios Ioannides, Arun Sacheti, Alexander Jack Sunell, Avinash Vemuluru, Xiaodong Fan, Dong Han Wang, Alexandra Victoria Foote, Jun Liu, Elena Usinskiene, Diane Ash Shambaugh, Qianyue You, Liang Tang, Souvick Sarkar, Jeffrey Roger Devries, Adam Jeffrey Curtis
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Publication number: 20230103575Abstract: The present disclosure relates to systems and methods for providing a visual search within a browser. The systems and methods allow users to trigger a visual search from the browser within the user's browsing context. The users may trigger a visual search by hovering over an image and selecting a visual search icon or selecting a visual search option within a context menu. Selecting the visual searches may cause a sidebar to open with visual search results or a flyout to display with visual search results.Type: ApplicationFiled: December 20, 2021Publication date: April 6, 2023Inventors: Nicholas Fredrick RAY, Adam Jeffrey CURTIS, Jeffrey Roger DEVRIES, Cheyenne ISMAILCIUC, Niveah Tefillah ABRAHAM, Nektarios IOANNIDES, Arun SACHETI, Avinash VEMULURU
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Publication number: 20220277056Abstract: The present disclosure relates to systems, devices, and methods for a visual exploration of search engine results. The systems, devices, and methods may present, in response to receiving the search engine results for a query to perform a task, a search result webpage with a cascading waterfall layout that includes a plurality of images from a plurality of webpages included in the search results. The search result webpage may also present, adjacent to the plurality of images, structured data corresponding to a selected image from the plurality of images where the structured data includes details from the webpage to complete the task.Type: ApplicationFiled: March 1, 2021Publication date: September 1, 2022Inventors: Nikita ASTRAKHANTSEV, Parthasarathy GOVINDARAJEN, Nektarios IOANNIDES, Arun SACHETI, Alexander Jack SUNELL, Avinash VEMULURU, Xiaodong FAN, Dong Han WANG, Alexandra Victoria FOOTE, Jun LIU, Elena USINSKIENE, Diane Ash SHAMBAUGH, Qianyue YOU, Liang TANG, Souvick SARKAR, Jeffrey Roger DEVRIES, Adam Jeffrey CURTIS
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Patent number: 10528572Abstract: The technology described herein provides an efficient mechanism for quickly analyzing huge amounts of media content to find media content (hereafter “content” or “media content”) that is relevant to a user. The technology analyzes features of a curator to classify curators by interest and/or find curators with similar content recommendations. The curator data can be used to make curator recommendations to users based on the user's interests. The technology described herein collects curator data from multiple content sites and analyzes the data to identify curators that recommend similar content on different content sites.Type: GrantFiled: August 28, 2015Date of Patent: January 7, 2020Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Arun Sacheti, Yanfeng Sun, Aaron Chun Win Yuen, Parthasarathy Govindarajen, Kun Wu, Soohoon Cho, Malik Mehdi Pradhan, Alexandre Michelis, Gautam Vishwas Vaidya, Karim Amin Hasham, Avinash Vemuluru
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Patent number: 9910867Abstract: A representative image system is described herein that provides a representative image for any given search query. Upon receiving a search for a term (or terms), the system accesses an inverted index to identify images associated with that term. The system then receives a ranked list of images. The ranked list includes image identifiers, and once an item in the list is selected the system can use the associated image identifier to retrieve the image from a thumbnail or other server. If an editor has overridden the default image for the present search query, then the system returns the image identifier for the overridden image, which can be used to access the image from the thumbnail or other server. Thus, the representative image system provides a reliable and universal mechanism for retrieving representative images for any given topic dynamically in real time.Type: GrantFiled: August 18, 2016Date of Patent: March 6, 2018Assignee: Microsoft Technology Licensing, LLCInventors: Justin Hamilton, Troy Ma, Kun Wu, Bing Lang, Xiaowei Sheng, Avinash Vemuluru, Paul Borza
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Publication number: 20170060872Abstract: The technology described herein provides an efficient mechanism for quickly analyzing huge amounts of media content to find media content (hereafter “content” or “media content”) that is relevant to a user. The technology analyzes features of a curator to classify curators by interest and/or find curators with similar content recommendations. The curator data can be used to make curator recommendations to users based on the user's interests. The technology described herein collects curator data from multiple content sites and analyzes the data to identify curators that recommend similar content on different content sites.Type: ApplicationFiled: August 28, 2015Publication date: March 2, 2017Inventors: ARUN SACHETI, YANFENG SUN, AARON CHUN WIN YUEN, PARTHASARATHY GOVINDARAJEN, KUN WU, SOOHOON CHO, MALIK MEHDI PRADHAN, ALEXANDRE MICHELIS, GAUTAM VISHWAS VAIDYA, KARIM AMIN HASHAM, AVINASH VEMULURU
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Publication number: 20160357786Abstract: A representative image system is described herein that provides a representative image for any given search query. Upon receiving a search for a term (or terms), the system accesses an inverted index to identify images associated with that term. The system then receives a ranked list of images. The ranked list includes image identifiers, and once an item in the list is selected the system can use the associated image identifier to retrieve the image from a thumbnail or other server. If an editor has overridden the default image for the present search query, then the system returns the image identifier for the overridden image, which can be used to access the image from the thumbnail or other server. Thus, the representative image system provides a reliable and universal mechanism for retrieving representative images for any given topic dynamically in real time.Type: ApplicationFiled: August 18, 2016Publication date: December 8, 2016Inventors: Justin Hamilton, Troy Ma, Kun Wu, Bing Lang, Xiaowei Sheng, Avinash Vemuluru, Paul Borza
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Patent number: 9449028Abstract: Systems and methods for identifying a representative image for any given search query are provided. In response to a search for a query term (or terms), the system accesses an inverted index to identify images associated with that term. The system then receives a ranked list of images. The ranked list includes image identifiers, and once an item in the list is selected the system can use the associated image identifier to retrieve the image from a server. If an editor has overridden the default image for the present search query, then the system returns the image identifier for the overridden image, which can be used to access the image from the server. Thus, the representative image system provides a reliable and universal mechanism for retrieving representative images for any given topic dynamically in real time.Type: GrantFiled: December 30, 2011Date of Patent: September 20, 2016Assignee: Microsoft Technology Licensing, LLCInventors: Justin Hamilton, Troy Ma, Kun Wu, Bing Lang, Xiaowei Sheng, Avinash Vemuluru, Paul Borza
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Publication number: 20130173603Abstract: A representative image system is described herein that provides a representative image for any given search query. Upon receiving a search for a term (or terms), the system accesses an inverted index to identify images associated with that term. The system then receives a ranked list of images. The ranked list includes image identifiers, and once an item in the list is selected the system can use the associated image identifier to retrieve the image from a thumbnail or other server. If an editor has overridden the default image for the present search query, then the system returns the image identifier for the overridden image, which can be used to access the image from the thumbnail or other server. Thus, the representative image system provides a reliable and universal mechanism for retrieving representative images for any given topic dynamically in real time.Type: ApplicationFiled: December 30, 2011Publication date: July 4, 2013Inventors: Justin Hamilton, Troy MA, Kun Wu, Bing Lang, Xiaowei Sheng, Avinash Vemuluru, Paul Borza
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Publication number: 20120110453Abstract: Techniques involving display of image search results are described. In one or more implementations, an image search result is displayed having a plurality of images. Responsive to selection of a particular one of the images, a filmstrip is displayed having a contiguous series of representations of at least a portion of the plurality of images, at least one of which is of the particular image, the particular image is displayed as disposed proximal to metadata associated with the image, and at least a portion of a webpage from which the particular image was obtained is displayed.Type: ApplicationFiled: October 29, 2010Publication date: May 3, 2012Applicant: MICROSOFT CORPORATIONInventors: Yue Ma, Justin D. Hamilton, Wallace Earl Greathouse, Bao Tan Nguyen, Avinash Vemuluru, Paul Valentin Borza, Rajat Kala