Jose Rivera 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:

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:

20210133279, May 6, 2021

Filed:

Nov 4, 2019

Appl. No.:

16/672733

Inventors:

- San Jose CA, US
Franck Dernoncourt - Sunnyvale CA, US
Paul Asente - Redwood City CA, US
Nedim Lipka - Santa Clara CA, US
Seokhwan Kim - San Jose CA, US
Jose Echevarria - San Jose CA, US

International Classification:

G06F 17/24
G06N 3/04
G06F 17/27
G06N 5/04

Abstract:

The present disclosure relates to utilizing a neural network to flexibly generate label distributions for modifying a segment of text to emphasize one or more words that accurately communicate the meaning of the segment of text. For example, the disclosed systems can utilize a neural network having a long short-term memory neural network architecture to analyze a segment of text and generate a plurality of label distributions corresponding to the words included therein. The label distribution for a given word can include probabilities across a plurality of labels from a text emphasis labeling scheme where a given probability represents the degree to which the corresponding label describes the word. The disclosed systems can modify the segment of text to emphasize one or more of the included words based on the generated label distributions.

US Patent:

20210073270, Mar 11, 2021

Filed:

Sep 5, 2019

Appl. No.:

16/561973

Inventors:

- San Jose CA, US
Zhe Lin - Fremont CA, US
Samarth Gulati - Chandigarh, IN
Pramod Srinivasan - San Francisco CA, US
Jose Ignacio Echevarria Vallespi - San Jose CA, US
Baldo Antonio Faieta - San Francisco CA, US

Assignee:

Adobe Inc. - San Jose CA

International Classification:

G06F 16/583
G06F 16/532
G06F 16/55
G06F 17/16

Abstract:

In implementations of multi-resolution color-based image search, an image search system determines a color vector for a query image based on a color histogram of the query image by concatenating two color histograms having different resolutions. The image search system can compute distance measures between the color vector of the query image and color vectors of candidate images. The image search system can select one or more of the candidate images to return based on the distance measures utilizing the distance measures as indication of color similarity of the candidate images to the query image.

US Patent:

20200364914, Nov 19, 2020

Filed:

May 17, 2019

Appl. No.:

16/416123

Inventors:

- San Jose CA, US
Jose Ignacio Echevarria Vallespi - San Jose CA, US
Jingwan Lu - Santa Clara CA, US
Jianming Zhang - Campbell CA, US
Jane Little E - Redwood City CA, US

International Classification:

G06T 11/60
G06T 7/70
G06T 7/33
G06T 7/32
G06T 7/00

Abstract:

Various methods and systems are provided for image-management operations that includes generating adaptive image armatures based on an alignment between composition lines of a reference armature and a position of an object in an image. In operation, a reference armature for an image is accessed. The reference armature includes a plurality of composition lines that define a frame of reference for image composition. An alignment map is determined using the reference armature. The alignment map includes alignment information that indicates alignment between the composition lines of the reference armature and the position of the object in the image. Based on the alignment map, an adaptive image armature is determined. The adaptive image armature includes a subset of the composition lines of the reference armature. The adaptive image armature is displayed.

US Patent:

20200160567, May 21, 2020

Filed:

Nov 21, 2018

Appl. No.:

16/197633

Inventors:

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

International Classification:

G06T 11/00

Abstract:

In some embodiments, a computing system computes a palette-based color harmony and applies palette-based image recoloration by determining a color palette for the electronic image that includes a first image color at a first position on a color space and a second image color at a second position on a color space. The computing system applies a harmonic template using a combination of a global rotation angle and a secondary rotation angle, such that, the harmonic template, as applied, minimizes an aggregate of hue distances. The computing system modifies the color palette by moving at least one of (i) the first image color from the first position toward a position along a first axis of the harmonic template or (ii) the second image color from the second position toward a modified position along a second axis of the harmonic template. The computing system updates an editing interface.