Patents by Inventor Maria Zontak
Maria Zontak 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: 11954893Abstract: The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.Type: GrantFiled: June 17, 2022Date of Patent: April 9, 2024Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Oron Nir, Maria Zontak, Tucker Cunningham Burns, Apar Singhal, Lei Zhang, Irit Ofer, Avner Levi, Haim Sabo, Ika Bar-Menachem, Eylon Ami, Ella Ben Tov, Anika Zaman
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Patent number: 11823453Abstract: The technology described herein is directed to a media indexer framework including a character recognition engine that automatically detects and groups instances (or occurrences) of characters in a multi-frame animated media file. More specifically, the character recognition engine automatically detects and groups the instances (or occurrences) of the characters in the multi-frame animated media file such that each group contains images associated with a single character. The character groups are then labeled and used to train an image classification model. Once trained, the image classification model can be applied to subsequent multi-frame animated media files to automatically classifying the animated characters included therein.Type: GrantFiled: February 1, 2022Date of Patent: November 21, 2023Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Oron Nir, Maria Zontak, Tucker Cunningham Burns, Apar Singhal, Lei Zhang, Irit Ofer, Avner Levi, Haim Sabo, Ika Bar-Menachem, Eylon Ami, Ella Ben Tov
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Publication number: 20220318574Abstract: The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.Type: ApplicationFiled: June 17, 2022Publication date: October 6, 2022Inventors: Oron NIR, Maria ZONTAK, Tucker Cunningham BURNS, Apar SINGHAL, Lei ZHANG, Irit OFER, Avner LEVI, Haim SABO, Ika BAR-MENACHEM, Eylon AMI, Ella BEN TOV, Anika ZAMAN
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Patent number: 11366989Abstract: The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.Type: GrantFiled: March 26, 2020Date of Patent: June 21, 2022Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Oron Nir, Maria Zontak, Tucker Cunningham Burns, Apar Singhal, Lei Zhang, Irit Ofer, Avner Levi, Haim Sabo, Ika Bar-Menachem, Eylon Ami, Ella Ben Tov, Anika Zaman
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Publication number: 20220157057Abstract: The technology described herein is directed to a media indexer framework including a character recognition engine that automatically detects and groups instances (or occurrences) of characters in a multi-frame animated media file. More specifically, the character recognition engine automatically detects and groups the instances (or occurrences) of the characters in the multi-frame animated media file such that each group contains images associated with a single character. The character groups are then labeled and used to train an image classification model. Once trained, the image classification model can be applied to subsequent multi-frame animated media files to automatically classifying the animated characters included therein.Type: ApplicationFiled: February 1, 2022Publication date: May 19, 2022Inventors: Oron NIR, Maria ZONTAK, Tucker Cunningham BURNS, Apar SINGHAL, Lei ZHANG, Irit OFER, Avner LEVI, Haim SABO, Ika BAR-MENACHEM, Eylon AMI, Ella BEN TOV
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Patent number: 11270121Abstract: The technology described herein is directed to a media indexer framework including a character recognition engine that automatically detects and groups instances (or occurrences) of characters in a multi-frame animated media file. More specifically, the character recognition engine automatically detects and groups the instances (or occurrences) of the characters in the multi-frame animated media file such that each group contains images associated with a single character. The character groups are then labeled and used to train an image classification model. Once trained, the image classification model can be applied to subsequent multi-frame animated media files to automatically classifying the animated characters included therein.Type: GrantFiled: March 26, 2020Date of Patent: March 8, 2022Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Oron Nir, Maria Zontak, Tucker Cunningham Burns, Apar Singhal, Lei Zhang, Irit Ofer, Avner Levi, Haim Sabo, Ika Bar-Menachem, Eylon Ami, Ella Ben Tov
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Publication number: 20210056362Abstract: The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.Type: ApplicationFiled: March 26, 2020Publication date: February 25, 2021Inventors: Oron Nir, Maria Zontak, Tucker Cunningham Burns, Apar Singhal, Lei Zhang, Irit Ofer, Avner Levi, Haim Sabo, Ika Bar-Menachem, Eylon Ami, Ella Ben Tov, Anika Zaman
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Publication number: 20210056313Abstract: The technology described herein is directed to a media indexer framework including a character recognition engine that automatically detects and groups instances (or occurrences) of characters in a multi-frame animated media file. More specifically, the character recognition engine automatically detects and groups the instances (or occurrences) of the characters in the multi-frame animated media file such that each group contains images associated with a single character. The character groups are then labeled and used to train an image classification model. Once trained, the image classification model can be applied to subsequent multi-frame animated media files to automatically classifying the animated characters included therein.Type: ApplicationFiled: March 26, 2020Publication date: February 25, 2021Inventors: Oron Nir, Maria Zontak, Tucker Cunningham Burns, Apar Singhal, Lei Zhang, Irit Ofer, Avner Levi, Haim Sabo, Ika Bar-Menachem, Eylon Ami, Ella Ben Tov
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Publication number: 20120281923Abstract: A method of image processing is disclosed, the method implementable on an electronic device, the method comprising: calculating for an image patch within an image at least one patch-dependent content information; based on said at least one patch-dependent content information, determining a patch-dependent search region; searching said patch-dependent search region for one or more image patches that are similar to said image patch; and processing said image patch based on said similar image patches found in said patch-dependent search region.Type: ApplicationFiled: May 2, 2012Publication date: November 8, 2012Applicant: Yeda Research and Development Co., Ltd.Inventors: Michal Irani, Maria Zontak