公开(公告)号：US12135741B2

公开(公告)日：2024-11-05

申请号：US16943331

申请日：2020-07-30

Applicant: Adobe Inc.

Inventor： Reetesh Mukul ,  Mayuri Jain

IPC: G06N20/00 ,  G06F16/58

Abstract: Techniques are disclosed for improving transfer speed for a plurality of files (e.g., image files) by using a Markov decision process to determine an optimal number of parallel instances of transfer stages and optimal file batch sizes for each instance. The transfer (e.g., import or export) operation involves different stages that are each optimized using the algorithm. The stages include a file fetch operation, a file processing operation, and a database update operation. Each of the stages may have multiple parallel instances to process many files at the same time. The Markov decision process uses a reward structure to determine the optimal number of parallel instances for each stage and the number of files operated on at each instance at any given moment in time. The process is dynamic and adaptable to any system environment since it does not rely on any particular hardware or operating system configuration.

公开(公告)号：US12032607B2

公开(公告)日：2024-07-09

申请号：US16876624

申请日：2020-05-18

Applicant: Adobe Inc.

Inventor： Sudhir Tubegere Shankaranarayana ,  Sreenivas Ramaswamy ,  Sachin Tripathi ,  Reetesh Mukul ,  Mayuri Jain ,  Bhakti Ramnani

IPC: G06F16/33 ,  G06F16/332 ,  G06F40/284 ,  G06N20/00

CPC classification number: G06F16/3322 ,  G06F16/3334 ,  G06F40/284 ,  G06N20/00

Abstract: A context-based recommendation system for feature search automatically identifies features of a feature-rich system (e.g., an application) based on the program code of the feature-rich system and additional data corresponding to the feature-rich system. A code workflow graph describing workflows in the program code is generated. Various data corresponding to the feature-rich system, such as help data, analytics data, social media data, and so forth is obtained. The code workflow graph and the data are analyzed to identify sentences in the workflow. These sentences are used to a train machine learning system to generate one or more recommendations. In response to a user query, the machine learning system generates and outputs as recommendations workflows identified based on the user query.

公开(公告)号：US20220107819A1

公开(公告)日：2022-04-07

申请号：US17061273

申请日：2020-10-01

Applicant: Adobe Inc.

Inventor： Mayuri Jain ,  Reetesh Mukul

IPC: G06F9/451 ,  G06F9/48 ,  G06F9/38 ,  G06F9/30 ,  G06F3/0482 ,  G06F3/0481 ,  G06F3/0485

Abstract: A job scheduling system determines a rate at which a user is providing user inputs to a user interface of a computing device. A set of jobs that is to be performed to display or otherwise present a current view of the user interface is identified in response to a user input. This set of jobs is modified by excluding from the set of jobs at least one job that is not estimated to run prior to the next user input. The user interface is displayed or otherwise presented as the modified set of jobs is performed.

公开(公告)号：US20210209419A1

公开(公告)日：2021-07-08

申请号：US16736476

申请日：2020-01-07

Applicant: Adobe Inc.

Inventor： Bhakti Ramnani ,  Sachin Tripathi ,  Reetesh Mukul ,  Prabal Kumar Ghosh

IPC: G06K9/62 ,  G06F9/50

Abstract: A resource management system of an application takes various actions to improve or maintain the health of the application (e.g., keep the application from becoming sluggish). The resource management system maintains a reinforcement learning model indicating which actions the resource management system is to take for various different states of the application. The resource management system performs multiple iterations of a process of identifying a current state of the application, determining an action to take to manage resources for the application, and taking the determined action. In each iteration, the resource management system determines the result of the action taken in the previous iteration and updates the reinforcement learning model so that the reinforcement learning model learns which actions improve the health of the application and which actions do not improve the health of the application.

公开(公告)号：US20200342586A1

公开(公告)日：2020-10-29

申请号：US16391883

申请日：2019-04-23

Applicant: Adobe Inc.

Inventor： Abhishek Kumar ,  Reetesh Mukul ,  Eede Jaya Durga Bhargav ,  Bhakti Ramnani

IPC: G06T7/00 ,  A61C19/06 ,  G06T5/50 ,  G06T7/13 ,  G06T7/12 ,  G06T7/11 ,  G06T7/143 ,  G06T7/136 ,  G06T7/174

Abstract: An automatic teeth whitening system analyzes digital content and detects at least one teeth region in the digital content. A teeth region refers to a region or portion of the digital content that includes teeth (e.g., human teeth), and the teeth region detection includes identifying each pixel that displays part of the teeth using instance segmentation. The automatic teeth whitening system also finds the visual structure of each tooth in the teeth region using instance contours specific to the tooth. After finding the teeth region and the visual structure of each tooth in the teeth region, a whitening process is applied to the teeth to whiten them. The whitening of the teeth is performed automatically—manual steps by the user of selecting teeth regions and coloring the teeth in those regions are avoided.

公开(公告)号：US20190258498A1

公开(公告)日：2019-08-22

申请号：US15898456

申请日：2018-02-17

Applicant: Adobe Inc.

Inventor： . Chandan ,  Srikrishna Sivesh Guttula ,  Reetesh Mukul

IPC: G06F9/451 ,  G06T11/60 ,  G06N3/02 ,  G06F17/27

Abstract: Photo-editing application recommendations are described. A language modeling system generates a photo-editing language model based on application usage data collected from existing users of a photo-editing application. The language modeling system generates the model by applying natural language processing to words that are selected to represent photo-editing actions described by the application usage data. The natural language processing involves partitioning contiguous sequences of the words into sentences of the modeled photo-editing language and partitioning contiguous sequences of the sentences into paragraphs of the modeled photo-editing language. The language modeling system deploys the photo-editing language model for incorporation with the photo-editing application. The photo-editing application uses the model to determine a current workflow in real-time as input is received to edit digital photographs, and recommends tools for carrying out the current workflow.