Patents by Inventor Vladimir L. Bychkovsky
Vladimir L. Bychkovsky 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: 9292911Abstract: Techniques are disclosed relating to modifying an automatically predicted adjustment. In one embodiment, the automatically predicted adjustment may be adjusted, for example, based on a rule. The automatically predicted adjustment may be based on a machine learning prediction. A new image may be globally adjusted based on the modified automatically predicted adjustment.Type: GrantFiled: August 2, 2013Date of Patent: March 22, 2016Assignee: Adobe Systems IncorporatedInventors: Sylvain P. Paris, Jen-Chan Chien, Vladimir L. Bychkovsky
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Patent number: 9070044Abstract: Techniques are disclosed relating to automatically adjusting images. In one embodiment, an image may be automatically adjusted based on a regression model trained with a database of raw and adjusted images. In one embodiment, an image may be automatically adjusted based on a model trained by both a database of raw and adjusted images and a small set of images adjusted by a different user. In one embodiment, an image may be automatically adjusted based on a model trained by a database of raw and adjusted images and predicted differences between a user's adjustment to a small set of images and a predicted adjustment based on the database of raw and adjusted images.Type: GrantFiled: January 20, 2014Date of Patent: June 30, 2015Assignee: Adobe Systems IncorporatedInventors: Sylvain P. Paris, Frederic P. Durand, Vladimir L. Bychkovsky, Eric Chan
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Patent number: 9020243Abstract: Techniques are disclosed relating to automatically adjusting images. In one embodiment, an image may be automatically adjusted based on a regression model trained with a database of raw and adjusted images. In one embodiment, an image may be automatically adjusted based on a model trained by both a database of raw and adjusted images and a small set of images adjusted by a different user. In one embodiment, an image may be automatically adjusted based on a model trained by a database of raw and adjusted images and predicted differences between a user's adjustment to a small set of images and a predicted adjustment based on the database of raw and adjusted images.Type: GrantFiled: August 2, 2013Date of Patent: April 28, 2015Assignee: Adobe Systems IncorporatedInventors: Sylvain P. Paris, Frederic P. Durand, Vladimir L. Bychkovsky, Eric Chan
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Patent number: 8825876Abstract: A method and apparatus facilitating access to a communication session for a client is provided. The method may comprise receiving, at a mobile virtual network operator (MVNO), an access request from a client, wherein the MVNO is associated with a set of mobile network operators (MNOs), receiving, from the client, client connection parameters associated with at least one of the set of MNOs, formulating at least one option for a communication session over a network associated with at least one of the set of MNOs, the at least one option based on the client connection parameters and MVNO-connection parameters associated with the set of MNOs, and establishing a selected communication session based on the at least one option.Type: GrantFiled: March 23, 2009Date of Patent: September 2, 2014Assignee: QUALCOMM IncorporatedInventors: Dilip Krishnaswamy, Patrik N. Lundqvist, Robert S. Daley, Vladimir L. Bychkovsky
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Patent number: 8787659Abstract: Techniques are disclosed relating to generating generic labels, translating generic labels to image pipeline-specific labels, and automatically adjusting images. In one embodiment, generic labels may be generated. Generic algorithm parameters may be generated based on training a regression algorithm with the generic labels. The generic labels may be translated to pipeline-specific labels, which may be usable to automatically adjust an image.Type: GrantFiled: August 2, 2013Date of Patent: July 22, 2014Assignee: Adobe Systems IncorporatedInventors: Sylvain P. Paris, Jen-Chan Chien, Vladimir L. Bychkovsky
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Publication number: 20140133744Abstract: Techniques are disclosed relating to automatically adjusting images. In one embodiment, an image may be automatically adjusted based on a regression model trained with a database of raw and adjusted images. In one embodiment, an image may be automatically adjusted based on a model trained by both a database of raw and adjusted images and a small set of images adjusted by a different user. In one embodiment, an image may be automatically adjusted based on a model trained by a database of raw and adjusted images and predicted differences between a user's adjustment to a small set of images and a predicted adjustment based on the database of raw and adjusted images.Type: ApplicationFiled: January 20, 2014Publication date: May 15, 2014Inventors: Sylvain P. Paris, Frederic P. Durand, Vladimir L. Bychkovsky, Eric Chan
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Publication number: 20130322739Abstract: Techniques are disclosed relating to automatically adjusting images. In one embodiment, an image may be automatically adjusted based on a regression model trained with a database of raw and adjusted images. In one embodiment, an image may be automatically adjusted based on a model trained by both a database of raw and adjusted images and a small set of images adjusted by a different user. In one embodiment, an image may be automatically adjusted based on a model trained by a database of raw and adjusted images and predicted differences between a user's adjustment to a small set of images and a predicted adjustment based on the database of raw and adjusted images.Type: ApplicationFiled: August 2, 2013Publication date: December 5, 2013Applicant: Adobe Systems IncorporatedInventors: Sylvain P. Paris, Frederic P. Durand, Vladimir L. Bychkovsky, Eric Chan
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Publication number: 20130315476Abstract: Techniques are disclosed relating to modifying an automatically predicted adjustment. In one embodiment, the automatically predicted adjustment may be adjusted, for example, based on a rule. The automatically predicted adjustment may be based on a machine learning prediction. A new image may be globally adjusted based on the modified automatically predicted adjustment.Type: ApplicationFiled: August 2, 2013Publication date: November 28, 2013Applicant: Adobe Systems IncorporatedInventors: Sylvain P. Paris, Jen-Chan Chien, Vladimir L. Bychkovsky
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Publication number: 20130315479Abstract: Techniques are disclosed relating to generating generic labels, translating generic labels to image pipeline-specific labels, and automatically adjusting images. In one embodiment, generic labels may be generated. Generic algorithm parameters may be generated based on training a regression algorithm with the generic labels. The generic labels may be translated to pipeline-specific labels, which may be usable to automatically adjust an image.Type: ApplicationFiled: August 2, 2013Publication date: November 28, 2013Applicant: Adobe Systems IncorporatedInventors: Sylvain P. Paris, Jen-Chan Chien, Vladimir L. Bychkovsky
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Publication number: 20100017861Abstract: A method and apparatus facilitating access to a communication session for a client is provided. The method may comprise receiving, at a mobile virtual network operator (MVNO), an access request from a client, wherein the MVNO is associated with a set of mobile network operators (MNOs), receiving, from the client, client connection parameters associated with at least one of the set of MNOs, formulating at least one option for a communication session over a network associated with at least one of the set of MNOs, the at least one option based on the client connection parameters and MVNO-connection parameters associated with the set of MNOs, and establishing a selected communication session based on the at least one option.Type: ApplicationFiled: March 23, 2009Publication date: January 21, 2010Applicant: QUALCOMM IncorporatedInventors: Dilip Krishnaswamy, Patrik N. Lundqvist, Robert S. Daley, Vladimir L. Bychkovsky