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公开(公告)号：US10902076B2
公开(公告)日：2021-01-26
申请号：US16264211
申请日：2019-01-31
Applicant: Adobe Inc.
Inventor： Anmol Dhawan , Walter Wei-Tuh Chang , Ashish Duggal , Sachin Soni
IPC: G06F16/00 , G06F16/9535
Abstract: A method for recommending hashtags includes determining keywords from a post planned for publishing by a publisher. An input criteria comprising at least one of age group, geographical location, date range, or a keyword is received. Previous posts associated with the keywords and satisfying the input criteria are obtained. The previous posts are categorized into one or more categories based on sentiment of each post and for each category hashtags used in the obtained previous posts in that category are determined. The hashtags are ranked based on predefined criteria comprising at least one of frequency of appearance of respective hashtag in posts, number of likes or shares or retweets of post comprising respective hashtag, number of followers of person who used respective hashtag, or sentiment of post comprising respective hashtag. The hashtags are then recommended, based on ranking, to the publisher for use with the post planned for publishing.
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2.发明授权公开(公告)号：US10269080B2
公开(公告)日：2019-04-23
申请号：US14553292
申请日：2014-11-25
Applicant: Adobe Inc.
Inventor： Anmol Dhawan , Walter Wei-Tuh Chang , Ashish Duggal , Sachin Soni
Abstract: A method for providing a response to an input post on a social page of a brand is provided. The input post is detected upon posting of the input post on the social page of the brand. The social page is present on a social channel. An inquiry regarding the brand is identified from content of the input post. At least one social post is determined from already posted posts on one or more social channels based on the inquiry. The at least one social post is associated with the brand. A response post is created using the at least one social post. The response post addresses the inquiry. The response post is then posted on the social page of the social channel as a reply to the input post. An apparatus for performing the method as described herein is also provided.
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公开(公告)号：US11769111B2
公开(公告)日：2023-09-26
申请号：US16904881
申请日：2020-06-18
Applicant: ADOBE INC.
Inventor： Trung Huu Bui , Hung Hai Bui , Shawn Alan Gaither , Walter Wei-Tuh Chang , Michael Frank Kraley , Pranjal Daga
IPC: G06F17/00 , G06Q10/10 , G06Q10/06 , G06F40/10 , G06V30/148 , G06V30/413 , G06F40/103
CPC classification number: G06Q10/10 , G06F40/10 , G06F40/103 , G06Q10/06 , G06V30/153 , G06V30/413
Abstract: The present invention is directed towards providing automated workflows for the identification of a reading order from text segments extracted from a document. Ordering the text segments is based on trained natural language models. In some embodiments, the workflows are enabled to perform a method for identifying a sequence associated with a portable document. The methods includes iteratively generating a probabilistic language model, receiving the portable document, and selectively extracting features (such as but not limited to text segments) from the document. The method may generate pairs of features (or feature pair from the extracted features). The method may further generate a score for each of the pairs based on the probabilistic language model and determine an order to features based on the scores. The method may provide the extracted features in the determined order.
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公开(公告)号：US20230148406A1
公开(公告)日：2023-05-11
申请号：US18149286
申请日：2023-01-03
Applicant: Adobe Inc.
Inventor： Frieder Ludwig Anton Ganz , Walter Wei-Tuh Chang
IPC: G10L15/18 , G10L15/22 , G06T7/00 , G06F3/16 , G06F3/0481
CPC classification number: G10L15/1815 , G10L15/22 , G06T7/0002 , G06F3/167 , G06F3/0481 , G06T2207/30168 , G10L2015/223 , G06T2207/10004
Abstract: Conversational image editing and enhancement techniques are described. For example, an indication of a digital image is received from a user. Aesthetic attribute scores for multiple aesthetic attributes of the image are generated. A computing device then conducts a natural language conversation with the user to edit the digital image. The computing device receives inputs from the user to refine the digital image as the natural language conversation progresses. The computing device generates natural language suggestions to edit the digital image based on the aesthetic attribute scores as part of the natural language conversation. The computing device provides feedback to the user that includes edits to the digital image based on the series of inputs. The computing device also includes as feedback natural language outputs indicating options for additional edits to the digital image based on the series of inputs and the previous edits to the digital image.
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公开(公告)号：US10783431B2
公开(公告)日：2020-09-22
申请号：US14938752
申请日：2015-11-11
Applicant: Adobe Inc.
Inventor： Zeke Koch , Gavin Stuart Peter Miller , Jonathan W. Brandt , Nathan A. Carr , Radomir Mech , Walter Wei-Tuh Chang , Scott D. Cohen , Hailin Jin
IPC: G06F17/30 , G06N3/08 , G06F16/583 , G06N20/00 , G06N5/02
Abstract: Image search techniques and systems involving emotions are described. In one or more implementations, a digital medium environment of a content sharing service is described for image search result configuration and control based on a search request that indicates an emotion. The search request is received that includes one or more keywords and specifies an emotion. Images are located that are available for licensing by matching one or more tags associated with the image with the one or more keywords and as corresponding to the emotion. The emotion of the images is identified using one or more models that are trained using machine learning based at least in part on training images having tagged emotions. Output is controlled of a search result having one or more representations of the images that are selectable to license respective images from the content sharing service.
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Patent Agency Ranking
公开(公告)号：US20190163711A1
公开(公告)日：2019-05-30
申请号：US16264211
申请日：2019-01-31
Applicant: Adobe Inc.
Inventor： Anmol Dhawan , Walter Wei-Tuh Chang , Ashish Duggal , Sachin Soni
IPC: G06F16/9535
Abstract: A method for recommending hashtags includes determining keywords from a post planned for publishing by a publisher. An input criteria comprising at least one of age group, geographical location, date range, or a keyword is received. Previous posts associated with the keywords and satisfying the input criteria are obtained. The previous posts are categorized into one or more categories based on sentiment of each post and for each category hashtags used in the obtained previous posts in that category are determined. The hashtags are ranked based on predefined criteria comprising at least one of frequency of appearance of respective hashtag in posts, number of likes or shares or retweets of post comprising respective hashtag, number of followers of person who used respective hashtag, or sentiment of post comprising respective hashtag. The hashtags are then recommended, based on ranking, to the publisher for use with the post planned for publishing.
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公开(公告)号：US11514244B2
公开(公告)日：2022-11-29
申请号：US14978350
申请日：2015-12-22
Applicant: Adobe Inc.
Inventor： Scott D. Cohen , Walter Wei-Tuh Chang , Brian L. Price , Mohamed Hamdy Mahmoud Abdelbaky Elhoseiny
Abstract: Techniques and systems are described to model and extract knowledge from images. A digital medium environment is configured to learn and use a model to compute a descriptive summarization of an input image automatically and without user intervention. Training data is obtained to train a model using machine learning in order to generate a structured image representation that serves as the descriptive summarization of an input image. The images and associated text are processed to extract structured semantic knowledge from the text, which is then associated with the images. The structured semantic knowledge is processed along with corresponding images to train a model using machine learning such that the model describes a relationship between text features within the structured semantic knowledge. Once the model is learned, the model is usable to process input images to generate a structured image representation of the image.
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公开(公告)号：US11507551B2
公开(公告)日：2022-11-22
申请号：US16536061
申请日：2019-08-08
Applicant: ADOBE INC.
Inventor： Walter Wei-Tuh Chang , Kenneth Edward Feuerman , Shantanu Kumar , Ankit Bal
IPC: G06F16/22 , G06F16/28 , G06Q30/00 , G06F16/958 , G06F16/2457
Abstract: Various methods and systems for performing analytics based on hierarchical categorization of content are provided. Analytics can be performed using an index building workflow and a classification workflow. In the index building workflow, documents are received and analyzed to extract features from the documents. Hierarchical category paths can be identified for the features. The documents are indexed to support searching the documents for the hierarchical category paths. In the classification workflow, a query, that includes or references content, may be received and analyzed to extract features from the content. The features are executed against a search engine that returns search result documents associated with hierarchical category paths. The hierarchical category paths from the search result documents may be used to generate a topic model of the content associated with the query. The topic model, used for web analytics, includes scores for the hierarchical category paths and for enumerated category topics.
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公开(公告)号：US20200066261A1
公开(公告)日：2020-02-27
申请号：US16109464
申请日：2018-08-22
Applicant: Adobe Inc.
Inventor： Frieder Ludwig Anton Ganz , Walter Wei-Tuh Chang
IPC: G10L15/18 , G10L15/22 , G06T7/00 , G06F3/0481 , G06F3/16
Abstract: Conversational image editing and enhancement techniques are described. For example, an indication of a digital image is received from a user. Aesthetic attribute scores for multiple aesthetic attributes of the image are generated. A computing device then conducts a natural language conversation with the user to edit the digital image. The computing device receives inputs from the user to refine the digital image as the natural language conversation progresses. The computing device generates natural language suggestions to edit the digital image based on the aesthetic attribute scores as part of the natural language conversation. The computing device provides feedback to the user that includes edits to the digital image based on the series of inputs. The computing device also includes as feedback natural language outputs indicating options for additional edits to the digital image based on the series of inputs and the previous edits to the digital image.
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10.发明授权公开(公告)号：US10262062B2
公开(公告)日：2019-04-16
申请号：US14977334
申请日：2015-12-21
Applicant: Adobe Inc.
Inventor： Walter Wei-Tuh Chang , Codruta L. Girlea
Abstract: Natural language system question classifier, semantic representations, and logical form template techniques and systems are described. In one or more implementations, a natural language input is classified as corresponding to respective ones of a plurality of classes of questions. A semantic intent of the natural language input is extracted as a semantic entity and a semantic representation. Question classification labels that classify the question included in the natural language input is then used to select at least one of a plurality of logical form templates. The semantic intent that is extracted from the natural language input is then used to fill in the selected logical form templates, such as to fill in entity, subject, predicate, and object slots using the semantic entity and semantic representation. The filled-in logical form template is then mapped to form a database query that is then executed to query a database to answer the question.
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