Jose Antonio Echevarria

US Patent:

20220358280, Nov 10, 2022

Filed:

Sep 29, 2021

Appl. No.:

17/489474

Inventors:

- San Jose CA, US
Franck DERNONCOURT - San Jose CA, US
Jose Ignacio ECHEVARRIA VALLESPI - Belmont CA, US
Paul ASENTE - Redwood City CA, US
Nedim LIPKA - Campbell CA, US
Thamar I. SOLORIO MARTINEZ - Cypress TX, US

International Classification:

G06F 40/109
G06F 40/169
G06N 3/02

Abstract:

Embodiments are disclosed for recommending fonts based on text inputs are described. In some embodiments, a method of recommending fonts includes receiving a selection of text, providing a representation of the selection of text to a font recommendation model, generating, by the font recommendation model, a prediction score for each of a plurality of fonts based on the representation of the selection of text, and returning at least one recommended font based on the prediction score for each of the plurality of fonts.

US Patent:

20220335662, Oct 20, 2022

Filed:

Apr 20, 2021

Appl. No.:

17/235067

Inventors:

- San Jose CA, US
Jose Ignacio Echevarria Vallespi - Belmont CA, US

Assignee:

Adobe Inc. - San Jose CA

International Classification:

G06T 11/00

Abstract:

A contrast ratio color picker system is described that generates, based on a selected color, a contrast ratio color picker that presents a filtered palette of colors satisfying a contrast ratio threshold, relative to the selected color. To do so, the contrast ratio color picker system computes a relative luminance value for the selected color and identifies a contrast ratio threshold for the digital content. The contrast ratio color picker system then selects a palette from a target color space and generates a filtered palette by masking pixels displaying colors of the target color space palette that fail to satisfy the contrast ratio threshold. The filtered palette is then output as part of the contrast ratio color picker, which enables application of colors selected from the filtered palette to digital content.

US Patent:

20220232162, Jul 21, 2022

Filed:

Jan 19, 2021

Appl. No.:

17/152633

Inventors:

- San Jose CA, US
Jose Ignacio Echevarria Vallespi - South San Francisco CA, US
Gourav Singhal - Delhi, IN
Mrinal Kumar Sharma - Hazaribagh, IN

International Classification:

H04N 5/232
G06K 9/00
G06F 16/538

Abstract:

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and providing pose guides that are tailored to a context of a camera viewfinder stream. In particular, in one or more embodiments, the disclosed systems determine a context of the camera viewfinder stream and provide sample pose images that correspond with the determined context. In response to a selection of a sample pose image, the disclosed systems generate and display a pose guide that is customized to the proportions of a subject depicted in the camera viewfinder stream. The disclosed systems further iteratively modify portions of the generated pose guide to indicate that the subject depicted in the camera viewfinder stream is coming into alignment with the generated pose guide. The disclosed systems automatically capture a digital image when the subject is in total alignment with the generated pose guide.

US Patent:

20230070390, Mar 9, 2023

Filed:

Sep 3, 2021

Appl. No.:

17/466679

Inventors:

- San Jose CA, US
Baldo Faieta - San Francisco CA, US
Zegi Gu - San Jose CA, US
Peter Evan O'Donovan - Seattle WA, US
Alex Filipkowski - San Francisco CA, US
Jose Ignacio Echevarria Vallespi - South San Francisco CA, US

International Classification:

G06F 40/109
G06N 3/04
G06F 40/166

Abstract:

Embodiments of the technology described herein, are an intelligent system that aims to expedite a text design process by providing text design predictions interactively. The system works with a typical text design scenario comprising a background image and one or more text strings as input. In the design scenario, the text string is to be placed on top of the background. The textual design agent may include a location recommendation model that recommends a location on the background image to place the text. The textual design agent may also include a font recommendation model, a size recommendation model, and a color recommendation model. The output of these four models may be combined to generate draft designs that are evaluated as a whole (combination of color, font, and size) for the best designs. The top designs may be output to the user.

US Patent:

20230031646, Feb 2, 2023

Filed:

Oct 6, 2022

Appl. No.:

17/938581

Inventors:

- San Jose CA, US
Jose Ignacio Echevarria Vallespi - South San Francisco CA, US
Gourav Singhal - Delhi, IN
Mrinal Kumar Sharma - Hazaribagh, IN

International Classification:

H04N 5/232
G06F 16/538
G06V 40/10

Abstract:

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and providing pose guides that are tailored to a context of a camera viewfinder stream. In particular, in one or more embodiments, the disclosed systems determine a context of the camera viewfinder stream and provide sample pose images that correspond with the determined context. In response to a selection of a sample pose image, the disclosed systems generate and display a pose guide that is customized to the proportions of a subject depicted in the camera viewfinder stream. The disclosed systems further iteratively modify portions of the generated pose guide to indicate that the subject depicted in the camera viewfinder stream is coming into alignment with the generated pose guide. The disclosed systems automatically capture a digital image when the subject is in total alignment with the generated pose guide.

US Patent:

20210342974, Nov 4, 2021

Filed:

Apr 29, 2020

Appl. No.:

16/861688

Inventors:

- San Jose CA, US
Zhifei Zhang - San Jose CA, US
Jose Ignacio Echevarria Vallespi - San Francisco CA, US
Zhaowen Wang - San Jose CA, US
Stephen Diverdi - Berkeley CA, US

International Classification:

G06T 3/40
G06N 20/00

Abstract:

Systems and methods for texture hallucination with a large upscaling factor are described. Embodiments of the systems and methods may receive an input image and a reference image, extract an upscaled feature map from the input image, match the input image to a portion of the reference image, wherein a resolution of the reference image is higher than a resolution of the input image, concatenate the upscaled feature map with a reference feature map corresponding to the portion of the reference image to produce a concatenated feature map, and generate a reconstructed image based on the concatenated feature map using a machine learning model trained with a texture loss and a degradation loss, wherein the texture loss is based on a high frequency band filter, and the degradation loss is based on a downscaled version of the reconstructed image.

US Patent:

20210150776, May 20, 2021

Filed:

Nov 18, 2019

Appl. No.:

16/687415

Inventors:

- San Jose CA, US
Stephen Joseph DiVerdi - Berkeley CA, US
Jose Ignacio Echevarria Vallespi - San Jose CA, US

International Classification:

G06T 11/00
G06T 7/90

Abstract:

A method for generating a color gradient includes receiving an input indicating a smoothness of the color gradient and detecting a gradient path defined from an image. The method also includes identifying a set of colors from the gradient path. The method includes detecting a set of color pivots associated with the set of colors. A number of the color pivots in the set of color pivots is based on the input indicating the smoothness of the color gradient. The method includes generating a set of individual color gradients along the gradient path including a color gradient between a first pair of colors located at a first pair of the color pivots and a different color gradient between a second pair of colors located at a second pair of the color pivots. Additionally, the method includes generating the color gradient of the image from the set of individual color gradients.

US Patent:

20210142532, May 13, 2021

Filed:

Nov 13, 2019

Appl. No.:

16/682999

Inventors:

- San Jose CA, US
Jose Ignacio ECHEVARRIA VALLESPI - South San Francisco CA, US

International Classification:

G06T 11/00
G09G 5/06

Abstract:

Embodiments of the present disclosure relate to computer storage, methods, and systems for the automatic optimization of accessible color themes. Systems and methods are disclosed that leverage the use of confusion lines to identify and highlight relationships between colors that may be inaccessible (e.g., indistinguishable) for a person with a vision impairment, such as a color vision deficiency. In some embodiments, a set of input colors can be automatically optimized for color accessibility using confusion lines. The set of input colors can be optimized utilizing an objective function, including at least one of a CVD alignment term, out-of-gamut term, distinguishability term, and faithfulness term.