公开(公告)号：US12026209B2

公开(公告)日：2024-07-02

申请号：US17961315

申请日：2022-10-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Naresh Purre ,  Sriram Shashank ,  Sri Lakshmi Punuru ,  Barath Raj Kandur Raja ,  Vanraj Vala ,  Aayush Yadav ,  Aditi Anil Kagane ,  Sudeep Kumar Kodali ,  Rishabh Kumar ,  Srinivasa Rao Siddi ,  Manjunath Bhimappa Ujjinakoppa ,  Mansoor Variyathapara Mohammed ,  Hemant Tiwari ,  Dwakara Bhamidipati Sreevatsa ,  Ankita Bhardwaj ,  Vipin Rao ,  Likhith Amarvaj ,  Vibhav Agarwal ,  Yashwant Singh Saini ,  Himanshu Arora ,  Muthu Kumaran ,  Seungseok Kang ,  Sanguk Jeon ,  Jaehoon Park ,  Pilsik Choi ,  Hojun Jaygarl ,  Shweta Ratanpura ,  Mritunjai Chandra

IPC: G06F16/00 ,  G06F16/901 ,  G06F16/9535 ,  G06F16/9538 ,  G06N5/022

CPC classification number: G06F16/9535 ,  G06F16/9027 ,  G06F16/9538 ,  G06N5/022

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

公开(公告)号：US11776289B2

公开(公告)日：2023-10-03

申请号：US17740585

申请日：2022-05-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sourabh Vasant Gothe ,  Rakshith S ,  Jayesh Rajkumar Vachhani ,  Yashwant Singh Saini ,  Barath Raj Kandur Raja ,  Himanshu Arora ,  Rishabh Khurana

IPC: G06V10/44 ,  G06V30/32

CPC classification number: G06V30/347 ,  G06V30/36

Abstract: Embodiments herein disclose a method and electronic device for predicting multi-modal drawings. The method includes: receiving, by the electronic device, at least one of a text input and strokes of a drawing and determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing. The method includes classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature and performing, by the electronic device, early concatenation or late concatenation of the features based on the classification; classifying, by the electronic device, the strokes of the drawing based on the concatenation into a category using a deep neural network (DNN) model; and predicting, by the electronic device, primary drawings corresponding to the category.

公开(公告)号：US20230252243A1

公开(公告)日：2023-08-10

申请号：US18132165

申请日：2023-04-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sumit Kumar ,  Barath Raj Kandur Raja ,  Yashwant Singh Saini ,  Sourabh Vasant Gothe ,  Harichandana Bhogaraju Swarajya Sai ,  Chandramouli Sanchi ,  Himanshu Arora ,  Vibhav Agarwal

IPC: G06F40/40 ,  G06F40/232 ,  G06F40/284 ,  G06F16/335

CPC classification number: G06F40/40 ,  G06F40/232 ,  G06F40/284 ,  G06F16/337

Abstract: Present disclosure relates to a method and a user equipment (UE) for enhancing multimodal input content. The UE obtains text-blocks associated with multimodal input and determines a plurality of features for each of the text-blocks using a natural language processing (NLP) model and a neural network (NN) model. Further, the UE identifies usage pattern of the plurality of features based on historic data associated with the usage of the plurality of features using NN model. Thereafter, the UE generates personalized text for each of the textblocks based on the plurality of features and usage pattern. The UE inserts personalized emoticons based on context of text-blocks and lingo of each word using user lingo database. Thus, the UE eliminates manual correction of texts and enhances the readability of message/text entered by user.

公开(公告)号：US20240354350A1

公开(公告)日：2024-10-24

申请号：US18760461

申请日：2024-07-01

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Naresh PURRE ,  Sriram Shashank ,  Sri Lakshmi Punuru ,  Barath Raj Kandur Raja ,  Vanraj Vala ,  Aayush Yadav ,  Aditi Anil Kagane ,  Sudeep Kumar Kodali ,  Rishabh Kumar ,  Srinivasa Rao Siddi ,  Manjunath Bhimappa Ujjinakoppa ,  Mansoor Variyathapara Mohammed ,  Hemant Tiwari ,  Dwakara Bhamidipati Sreevatsa ,  Ankita Bhardwaj ,  Vipin Rao ,  Likhith Amarvaj ,  Vibhav Agarwal ,  Yashwant Singh Saini ,  Himanshu Arora ,  Muthu Kumaran ,  Seungseok Kang ,  Sanguk Jeon ,  Jaehoon Park ,  Pilsik Choi ,  Hojun Jaygarl ,  Shweta Ratanpura ,  Mritunjai Chandra

IPC: G06F16/9535 ,  G06F16/901 ,  G06F16/9538 ,  G06N5/022

CPC classification number: G06F16/9535 ,  G06F16/9027 ,  G06F16/9538 ,  G06N5/022

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

公开(公告)号：US20220301331A1

公开(公告)日：2022-09-22

申请号：US17740585

申请日：2022-05-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sourabh Vasant GOTHE ,  Rakshith S ,  Jayesh Rajkumar Vachhani ,  Yashwant Singh Saini ,  Barath Raj Kandur Raja ,  Himanshu Arora ,  Rishabh Khurana

IPC: G06V30/32

Abstract: Embodiments herein disclose a method and electronic device for predicting multi-modal drawings. The method includes: receiving, by the electronic device, at least one of a text input and strokes of a drawing and determining, by the electronic device, features associated with the text input and features associated with the strokes of the drawing. The method includes classifying, by the electronic device, the features associated with the text input and the features associated with the strokes of the drawing into one of a dominant feature and a non-dominant feature and performing, by the electronic device, early concatenation or late concatenation of the features based on the classification; classifying, by the electronic device, the strokes of the drawing based on the concatenation into a category using a deep neural network (DNN) model; and predicting, by the electronic device, primary drawings corresponding to the category.