公开(公告)号：US10796690B2

公开(公告)日：2020-10-06

申请号：US16109464

申请日：2018-08-22

Applicant: Adobe Inc.

Inventor： Frieder Ludwig Anton Ganz ,  Walter Wei-Tuh Chang

IPC: G10L15/00 ,  G10L15/18 ,  G10L15/22 ,  G06T7/00 ,  G06F3/16 ,  G06F3/0481

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.

公开(公告)号：US10783314B2

公开(公告)日：2020-09-22

申请号：US16024212

申请日：2018-06-29

Applicant: Adobe Inc.

Inventor： Franck Dernoncourt ,  Walter Wei-Tuh Chang ,  Seokhwan Kim ,  Sean Fitzgerald ,  Ragunandan Rao Malangully ,  Laurie Marie Byrum ,  Frederic Thevenet ,  Carl Iwan Dockhorn

IPC: G06F40/10 ,  G06F40/106 ,  G10L15/26 ,  G06F40/14 ,  G06F40/166

Abstract: Techniques are disclosed for generating a structured transcription from a speech file. In an example embodiment, a structured transcription system receives a speech file comprising speech from one or more people and generates a navigable structured transcription object. The navigable structured transcription object may comprise one or more data structures representing multimedia content with which a user may navigate and interact via a user interface. Text and/or speech relating to the speech file can be selectively presented to the user (e.g., the text can be presented via a display, and the speech can be aurally presented via a speaker).

公开(公告)号：US20200004803A1

公开(公告)日：2020-01-02

申请号：US16024212

申请日：2018-06-29

Applicant: Adobe Inc.

Inventor： Franck Dernoncourt ,  Walter Wei-Tuh Chang ,  Seokhwan Kim ,  Sean Fitzgerald ,  Ragunandan Rao Malangully ,  Laurie Marie Byrum ,  Frederic Thevenet ,  Carl Iwan Dockhorn

IPC: G06F17/21 ,  G10L15/26 ,  G06F17/22 ,  G06F17/24

Abstract: Techniques are disclosed for generating a structured transcription from a speech file. In an example embodiment, a structured transcription system receives a speech file comprising speech from one or more people and generates a navigable structured transcription object. The navigable structured transcription object may comprise one or more data structures representing multimedia content with which a user may navigate and interact via a user interface. Text and/or speech relating to the speech file can be selectively presented to the user (e.g., the text can be presented via a display, and the speech can be aurally presented via a speaker).

公开(公告)号：US10460033B2

公开(公告)日：2019-10-29

申请号：US14978421

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

IPC: G06F17/27 ,  G06K9/46 ,  G06K9/62

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.

公开(公告)号：US10417301B2

公开(公告)日：2019-09-17

申请号：US14482514

申请日：2014-09-10

Applicant: ADOBE INC.

Inventor： Walter Wei-Tuh Chang ,  Kenneth Edward Feuerman ,  Shantanu Kumar ,  Ankit Bal

IPC: G06F16/958 ,  G06F16/28 ,  G06Q30/00

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.

公开(公告)号：US20190155910A1

公开(公告)日：2019-05-23

申请号：US16196859

申请日：2018-11-20

Applicant: Adobe Inc.

Inventor： Carl Iwan Dockhorn ,  Sean Michael Fitzgerald ,  Ragunandan Rao Malangully ,  Laurie Marie Byrum ,  Jason Guthrie Waters ,  Frederic Claude Thevenet ,  Walter Wei-Tuh Chang

IPC: G06F17/28 ,  G06F17/22 ,  G06F16/34 ,  G06F17/27 ,  G06F17/21

Abstract: Highlighting key portions of text within a document is described. A document having text is obtained, and key portions of the document are determined using summarization techniques. Key portion data indicative of the key portions is generated and maintained for output to generate a highlighted document in which highlight overlays are displayed over or proximate the determined key portions of the text within the document. In one or more implementations, reader interactions with the highlighted document are monitored to generate reader feedback data. The reader feedback data may then be combined with the output of the summarization techniques in order to adjust the determined key portions. In some cases, the reader feedback data may also be used to improve the summarization techniques.