公开(公告)号：US12299959B2

公开(公告)日：2025-05-13

申请号：US17743990

申请日：2022-05-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Gaurav Ramola ,  Nikhar Maheshwari ,  Aniket Devdatta Rege ,  Sudha Velusamy ,  Girish Kulkarni ,  Sai Pranav Mathivanan ,  Swadha Jaiswal ,  Pradeep Kumar Vegireddi

IPC: G06V10/771 ,  G06V10/75 ,  G06V10/77 ,  G06V40/10

Abstract: Embodiments herein provide a method for detecting a candid moment in an image frame. The method includes: receiving, by an electronic device, image frames; determining, by the electronic device, a candid score of each image frame in the image frames using a Machine Learning (ML) model, wherein the candid score is a quantitative value of candidness present in the image frames; determining, by the electronic device, whether the candid score of the image frame in the image frames meets a threshold candid score; identifying, by the electronic device, that the candid moment is present in the image frame in response to determining that the candid score of the image frame meets the threshold candid score; and displaying, by the electronic device, the image frame comprising the candid moment.

公开(公告)号：US20220277547A1

公开(公告)日：2022-09-01

申请号：US17743990

申请日：2022-05-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Gaurav RAMOLA ,  Nikhar Maheshwari ,  Aniket Devdatta Rege ,  Sudha Velusamy ,  Girish Kulkarni ,  Sai Pranav Mathivanan ,  Swadha Jaiswal ,  Pradeep Kumar Vegireddi

IPC: G06V10/771 ,  G06V10/77 ,  G06V10/75 ,  G06V40/10

Abstract: Embodiments herein provide a method for detecting a candid moment in an image frame. The method includes: receiving, by an electronic device, image frames; determining, by the electronic device, a candid score of each image frame in the image frames using a Machine Learning (ML) model, wherein the candid score is a quantitative value of candidness present in the image frames; determining, by the electronic device, whether the candid score of the image frame in the image frames meets a threshold candid score; identifying, by the electronic device, that the candid moment is present in the image frame in response to determining that the candid score of the image frame meets the threshold candid score; and displaying, by the electronic device, the image frame comprising the candid moment.

公开(公告)号：US11335122B2

公开(公告)日：2022-05-17

申请号：US16829350

申请日：2020-03-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sudha Velusamy ,  Rahul Varna ,  Ravi Prasad Mohan Kini ,  Aniket Devdatta Rege ,  Rishubh Parihar ,  Daeyoung Hyun

IPC: G06V40/16 ,  G06T5/20 ,  G06T5/00

Abstract: A method includes determining information indicative of at least one facial characteristic associated with at least one face in the source image, processing the source image using a filter based on the determined information, performing wavelet decomposition on each of the filtered image and the source image, determining weightage factors associated with the wavelet decomposition of each of the filtered image and the source image, based on the determined information, obtaining a wavelet image to generate a texture restored image from the wavelet decomposition of each of the filtered image and the source image based on the weightage factors.

公开(公告)号：US20200311386A1

公开(公告)日：2020-10-01

申请号：US16829350

申请日：2020-03-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sudha VELUSAMY ,  Rahul Varna ,  Ravi Prasad Mohan Kini ,  Aniket Devdatta Rege ,  Rishubh Parihar ,  Daeyoung Hyun

IPC: G06K9/00 ,  G06T5/20 ,  G06T5/00

Abstract: A method includes determining information indicative of at least one facial characteristic associated with at least one face in the source image, processing the source image using a filter based on the determined information, performing wavelet decomposition on each of the filtered image and the source image, determining weightage factors associated with the wavelet decomposition of each of the filtered image and the source image, based on the determined information, obtaining a wavelet image to generate a texture restored image from the wavelet decomposition of each of the filtered image and the source image based on the weightage factors.