公开(公告)号：US12277768B2

公开(公告)日：2025-04-15

申请号：US18357627

申请日：2023-07-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jayesh Rajkumar Vachhani ,  Sourabh Vasant Gothe ,  Barath Raj Kandur Raja ,  Pranay Kashyap ,  Rakshith Srinivas ,  Rishabh Khurana

IPC: H04N21/85 ,  G06V20/40 ,  G06V40/20

Abstract: A method for generating at least one segment of a video by an electronic device is provided. The method includes identifying at least one of a context associated with the video and an interaction of a user in connection with the video, analyzing at least one parameter in at least one frame of the video with reference to at least one of the context and the interaction of the user, wherein the at least one parameter includes at least one of a subject, an environment, an action of the subject, and an object, determining the at least one frame in which a change in the at least one parameter occurs, and generating at least one segment of the video comprising the at least one frame in which the parameter changed as a temporal boundary of the at least one segment.

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：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.