Patents by Inventor Subham Gupta
Subham Gupta 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: 20220222875Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for generating object-specific-preset edits to be later applied to other digital images depicting a same object type or applying a previously generated object-specific-preset edit to an object of the same object type within a target digital image. For example, in some cases, the disclosed systems generate an object-specific-preset edit by determining a region of a particular localized edit in an edited digital image, identifying an edited object corresponding to the localized edit, and storing in a digital-image-editing document an object tag for the edited object and instructions for the localized edit. In certain implementations, the disclosed systems further apply such an object-specific-preset edit to a target object in a target digital image by determining transformed-positioning parameters for a localized edit from the object-specific-preset edit to the target object.Type: ApplicationFiled: January 13, 2021Publication date: July 14, 2022Inventors: Subham Gupta, Arnab Sil, Anuradha .
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Patent number: 11361526Abstract: An image editing program can include a content-aware selection system. The content-aware selection system can enable a user to select an area of an image using a label or a tag that identifies object in the image, rather than having to make a selection area based on coordinates and/or pixel values. The program can receive a digital image and metadata that describes an object in the image. The program can further receive a label, and can determine from the metadata that the label is associated with the object. The program can then select a bounding box for the object, and identify in the bounding box, pixels that represent the object. The program can then output a selection area that surrounds the pixels.Type: GrantFiled: September 4, 2020Date of Patent: June 14, 2022Assignee: Adobe Inc.Inventors: Subham Gupta, Ajay Bedi, Poonam Bhalla, Krishna Singh Karki
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Publication number: 20220108506Abstract: Methods, systems, and computer storage media for providing tool tutorials based on tutorial information that is dynamically integrated into tool tutorial shells using graphics editing system operations in a graphics editing systems. In operation, an image is received in association with a graphics editing application. Tool parameters (e.g., image-specific tool parameters) are generated based on processing the image. The tool parameters are generated for a graphics editing tool of the graphics editing application. The graphics editing tool (e.g., object removal tool or spot healing tool) can be a premium version of a simplified version of the graphics editing tool in a freemium application service. Based on the tool parameters and the image, a tool tutorial data file is generated by incorporating the tool parameters and the image into a tool tutorial shell. The tool tutorial data file can be selectively rendered in an integrated interface of the graphics editing application.Type: ApplicationFiled: October 6, 2020Publication date: April 7, 2022Inventors: Subham Gupta, Krishna Singh Karki, Poonam Bhalla, Ajay Bedi
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Patent number: 11276153Abstract: Methods and systems are provided for generating auto-complete image suggestions. In embodiments described herein, a user image having an edit state is obtained. An edit state can indicate any edits applied by the user to the user image. For the user image, an auto-complete image suggestion is generated. The auto-complete image suggestion includes a representation of the user image with the user-applied edits as well as a set of supplemental edits. Such supplemental edits can be determined from a pre-edited image identified as similar to the user image.Type: GrantFiled: January 14, 2020Date of Patent: March 15, 2022Assignee: Adobe Inc.Inventors: Subham Gupta, Anuradha, Arnab Sil, Shatrunjay Pathare, Mustansir Bartanwala
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Patent number: 11188784Abstract: Methods and systems are provided for determining intelligent people-groups based on relationships between people. In embodiments, a photo dataset is be processed to represent photos of the photo dataset using vectors. These vectors include the importance of people in the photos. The photos are analyzed to determine similarity between the photos. Similarity is indicative of relationships between the photos of the photo dataset. The similarity is based on the people in the photos. The photos are clustered based on the similarity. In clustering the photos, clustering parameters determined from location information associated with the photos of the photo dataset are used.Type: GrantFiled: July 12, 2019Date of Patent: November 30, 2021Assignee: ADOBE INC.Inventors: Subham Gupta, Ajay Bedi
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Patent number: 11119727Abstract: Digital tutorial generation techniques and systems are described in which a digital tutorial is generated automatically and without user intervention. History data is generated describing a sequence of user inputs provided as part of user interaction with an application and audio data is received capturing user utterances, e.g., speech, from a microphone of the computing device. A step-identification module of the tutorial generation system identifies a plurality of tutorial steps based on a sequence of user inputs described by the history data. A segmentation module of the tutorial generation system then generates a plurality of audio segments from the audio data corresponding to respective ones of the plurality of tutorial steps. The digital tutorial is then generated by a synchronization module of the tutorial generation system by synchronizing the plurality of audio segments as part of the plurality of tutorial steps, which is then output.Type: GrantFiled: June 25, 2020Date of Patent: September 14, 2021Assignee: Adobe Inc.Inventors: Subham Gupta, Sudhir Tubegere Shankaranarayana, Jaideep Jeyakar, Ashutosh Dwivedi
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Patent number: 11086889Abstract: Techniques are disclosed for generating tutorial recommendations to users of image editing applications, based on image content. A methodology implementing the techniques according to an embodiment includes using neural networks configured to determine subject matter of a user provided image and to identify objects in the image. The method also includes selecting one or more proposed tutorials from a database of tutorials. The database is indexed by tutorial subject matter and tutorial object content, and the selection is based on a matching of the determined subject matter to the tutorial subject matter and a matching of the identified objects to the tutorial object content. The method further includes calculating an effectiveness score associated with each of the proposed tutorials, the effectiveness score based on application of the proposed tutorial to the image. The method further includes sorting the proposed tutorials for recommendation to the user based on the effectiveness scores.Type: GrantFiled: September 27, 2019Date of Patent: August 10, 2021Assignee: Adobe Inc.Inventors: Subham Gupta, Arnab Sil, Anuradha
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Patent number: 11086645Abstract: In implementations of proficiency based tutorial modification, a computing device implements a tutorial system to receive a user modification of a digital image. A difference between the user modification and an application modification of the digital image is determined. The tutorial system generates a proficiency score for an editing tool based on the difference between the user modification and the application modification, and the proficiency score indicates the user's proficiency in using the editing tool. The tutorial system generates a pre-modified input image for a tutorial depicting a modification applied to an input image to be modified in the tutorial using the editing tool based on the proficiency score for the editing tool being greater than a proficiency threshold.Type: GrantFiled: September 17, 2020Date of Patent: August 10, 2021Assignee: Adobe Inc.Inventors: Subham Gupta, Somya Jain
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Publication number: 20210217152Abstract: Methods and systems are provided for generating auto-complete image suggestions. In embodiments described herein, a user image having an edit state is obtained. An edit state can indicate any edits applied by the user to the user image. For the user image, an auto-complete image suggestion is generated. The auto-complete image suggestion includes a representation of the user image with the user-applied edits as well as a set of supplemental edits. Such supplemental edits can be determined from a pre-edited image identified as similar to the user image.Type: ApplicationFiled: January 14, 2020Publication date: July 15, 2021Inventors: Subham Gupta, Anuradha, Arnab Sil, Shatrunjay Pathare, Mustansir Bartanwala
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Publication number: 20210149947Abstract: Embodiments of the present invention are directed towards providing contextual tags for an image based on a contextual analysis of associated images captured in the same environment as the image. To determine contextual tags, content tags can be determined for images. The determined content tags can be associated with categories based on a contextual classification of the content tags. These associated content tags can then be designated as contextual tags for a respective category. To associate these contextual tags with the images, the images can be iterated through based on how the images relate to the contextual tags. For instance, when an image is associated with a category, the contextual tags classified into that category can be assigned to that image.Type: ApplicationFiled: November 14, 2019Publication date: May 20, 2021Inventors: Subham GUPTA, Poonam BHALLA, Krishna Singh KARKI, Ajay BEDI
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Publication number: 20210118325Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate dynamic tool-based animated tutorials. In particular, in one or more embodiments, the disclosed systems generate an animated tutorial in response to receiving a request associated with an image editing tool. The disclosed systems then extract steps from existing general tutorials that pertain to the image editing tool to generate tool-specific animated tutorials. In at least one embodiment, the disclosed systems utilize a clustering algorithm in conjunction with image parameters to provide a set of these generated animated tutorials that showcase diverse features and/or attributes of the image editing tool based on measured aesthetic gains resulting from application of the image editing tool within the animated tutorials.Type: ApplicationFiled: October 16, 2019Publication date: April 22, 2021Inventors: Subham Gupta, Poonam Bhalla, Krishna Singh Karki, Ajay Bedi
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Patent number: 10977767Abstract: Systems and techniques for propagating spot healing edits from a source image to a target image include receiving a source image depicting a face with a healing region and a target image depicting the face. The face is detected in the source image including detecting facial feature points in the source image. The face is identified in the target image including detecting facial feature points in the target image. Facial feature point correspondence is determined between the facial feature points of the source image in the facial feature points of the target image. Region correspondence is determined between regions of the source image and regions of the target image using the facial feature point correspondence. The healing region of the face in the source image is transformed to a corresponding region of the face in the target image using the region correspondence.Type: GrantFiled: November 28, 2018Date of Patent: April 13, 2021Assignee: ADOBE INC.Inventors: Subham Gupta, Nitish Singla
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Publication number: 20210103615Abstract: Certain embodiments involve adaptive search results for multimedia search queries to provide dynamic previews. For instance, a computing system receives a search query that includes a keyword. The computing system identifies, based on the search query, a video file having keyframes with content tags that match the search query. The computing system determines matching scores for respective keyframes of the identified video file. The computing system generates a dynamic preview from at least two keyframes having the highest matching scores.Type: ApplicationFiled: October 3, 2019Publication date: April 8, 2021Inventors: Amol Jindal, Subham Gupta, Poonam Bhalla, Krishna Singh Karki, Ajay Bedi
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Publication number: 20210097084Abstract: Techniques are disclosed for generating tutorial recommendations to users of image editing applications, based on image content. A methodology implementing the techniques according to an embodiment includes using neural networks configured to determine subject matter of a user provided image and to identify objects in the image. The method also includes selecting one or more proposed tutorials from a database of tutorials. The database is indexed by tutorial subject matter and tutorial object content, and the selection is based on a matching of the determined subject matter to the tutorial subject matter and a matching of the identified objects to the tutorial object content. The method further includes calculating an effectiveness score associated with each of the proposed tutorials, the effectiveness score based on application of the proposed tutorial to the image. The method further includes sorting the proposed tutorials for recommendation to the user based on the effectiveness scores.Type: ApplicationFiled: September 27, 2019Publication date: April 1, 2021Applicant: Adobe Inc.Inventors: Subham Gupta, Arnab Sil, Anuradha
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Publication number: 20210049203Abstract: Embodiments provide systems, methods, and non-transitory computer storage media for providing search result images based on associations of keywords and depth-levels of an image. In embodiments, depth-levels of an image are identified using depth-map information of the image to identify depth-segments of the image. The depth-segments are analyzed to determine keywords associated with each depth-segment based on objects, features, or content in each depth-segment. An image depth-level data structure is generated by matching keywords generated for the entire image with the keywords at each depth-level and assigning the depth-level to the keyword in the image depth-level data structure for the entire image. The image depth-level data structure may be queried for images that contain keywords and depth-level information that match the keywords and depth-level information specified in a search query.Type: ApplicationFiled: August 14, 2019Publication date: February 18, 2021Inventors: Subham Gupta, Anuradha ., Arnab Sil
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Publication number: 20210012144Abstract: Methods and systems are provided for determining intelligent people-groups based on relationships between people. In embodiments, a photo dataset is be processed to represent photos of the photo dataset using vectors. These vectors include the importance of people in the photos. The photos are analyzed to determine similarity between the photos. Similarity is indicative of relationships between the photos of the photo dataset. The similarity is based on the people in the photos. The photos are clustered based on the similarity. In clustering the photos, clustering parameters determined from location information associated with the photos of the photo dataset are used.Type: ApplicationFiled: July 12, 2019Publication date: January 14, 2021Inventors: Subham Gupta, Ajay Bedi
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Publication number: 20200401831Abstract: An image editing program can include a content-aware selection system. The content-aware selection system can enable a user to select an area of an image using a label or a tag that identifies object in the image, rather than having to make a selection area based on coordinates and/or pixel values. The program can receive a digital image and metadata that describes an object in the image. The program can further receive a label, and can determine from the metadata that the label is associated with the object. The program can then select a bounding box for the object, and identify in the bounding box, pixels that represent the object. The program can then output a selection area that surrounds the pixels.Type: ApplicationFiled: September 4, 2020Publication date: December 24, 2020Inventors: Subham Gupta, Ajay Bedi, Poonam Bhalla, Krishna Singh Karki
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Patent number: 10872232Abstract: Systems and methods disclosed herein for providing people categorization within electronic images. One embodiment involves retrieving an input image from memory. The embodiment further involves determining one or more facial regions in the input image using a facial detection algorithm. The embodiment further involves identifying a number of features for each facial region. The embodiment further involves determining a subject face and a crowd face in the input image based on at least the number of features for the subject face being more than the number of features for the crowd face. The embodiment further involves displaying, on a display device, the subject face identified within the image.Type: GrantFiled: November 19, 2018Date of Patent: December 22, 2020Assignee: Adobe Inc.Inventors: Subham Gupta, Ajay Bedi
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Patent number: 10831516Abstract: In implementations of proficiency based tutorial modification, a computing device implements a tutorial system to receive a user modification of a digital image. A difference between the user modification and an application modification of the digital image is determined. The tutorial system generates a proficiency score for an editing tool based on the difference between the user modification and the application modification, and the proficiency score indicates the user's proficiency in using the editing tool. The tutorial system generates a pre-modified input image for a tutorial depicting a modification applied to an input image to be modified in the tutorial using the editing tool based on the proficiency score for the editing tool being greater than a proficiency threshold.Type: GrantFiled: March 9, 2020Date of Patent: November 10, 2020Assignee: Adobe Inc.Inventors: Subham Gupta, Somya Jain
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Patent number: 10817739Abstract: An image editing program can include a content-aware selection system. The content-aware selection system can enable a user to select an area of an image using a label or a tag that identifies object in the image, rather than having to make a selection area based on coordinates and/or pixel values. The program can receive a digital image and metadata that describes an object in the image. The program can further receive a label, and can determine from the metadata that the label is associated with the object. The program can then select a bounding box for the object, and identify in the bounding box, pixels that represent the object. The program can then output a selection area that surrounds the pixels.Type: GrantFiled: January 31, 2019Date of Patent: October 27, 2020Assignee: Adobe Inc.Inventors: Subham Gupta, Ajay Bedi, Poonam Bhalla, Krishna Singh Kari