公开(公告)号：US11343564B2

公开(公告)日：2022-05-24

申请号：US16991619

申请日：2020-08-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Ashwini Kumar ,  Nikhil Verma ,  Anil Kumar

IPC: H04N21/44 ,  G06V10/25 ,  H04N21/422

Abstract: An automated learning system of a content provider includes a database, an image processing unit, and a server. The database stores data related to visual marks, features of the visual marks, a set of discriminating instances, a position of a region of interest, and pre-defined threshold values. The image processing unit includes a detection module, a determination module, and a feature generation module. The detection module detects frames from a primary display device. The determination module extracts a static visual area, and determines a visual mark. The feature generation module generates discriminating features of the visual mark. The server maps the discriminating features with the stored data, identifies at least one closest visual mark, and transmits the updated visual mark and the discriminating features to secondary display devices.

公开(公告)号：US12032502B2

公开(公告)日：2024-07-09

申请号：US18115474

申请日：2023-02-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Aniroop Mathur ,  Archit Tekriwal ,  Anil Kumar ,  Kuldeep Kumar

IPC: G06F13/26 ,  G06F3/023

CPC classification number: G06F13/26 ,  G06F3/023

Abstract: A first electronic device for communication with a second electronic device on a single wire interface, includes: a memory; and a processor executing an application stored in the memory. The processor is configured to: receive, from the second electronic device, interrupt signals related with a frequency and a time space, over the single wire interface; decode an input data associated with the interrupt signals based on an interrupt protocol table; and provide the decoded input data to the application on the first electronic device.

公开(公告)号：US11705111B2

公开(公告)日：2023-07-18

申请号：US17460598

申请日：2021-08-30

Applicant: Samsung Electronics Co., Ltd.

Inventor： Anil Kumar ,  Teena Salhotra ,  Vinod Kumar Mishra ,  Mohammad Azam

IPC: G10L15/14 ,  G10L15/07 ,  G10L15/06 ,  G10L15/08 ,  G10L15/183 ,  G06F18/22 ,  G06F18/2413 ,  G06N7/01

CPC classification number: G10L15/144 ,  G06F18/22 ,  G06F18/24137 ,  G06N7/01 ,  G10L15/063 ,  G10L15/075 ,  G10L15/083 ,  G10L15/183 ,  G10L2015/0631 ,  G10L2015/0635

Abstract: A method to adaptively predict non-default actions against unstructured utterances by an automated assistant operating in a computing-system is provided. The method includes extracting voice-features based on receiving an input utterance from at-least one speaker by an automatic speech recognition (ASR) device, identifying the input utterance as an unstructured utterance based on the extracted voice-features and a mapping between the input utterance with one or more default actions as drawn by the ASR, obtaining at least one probable action to be performed in response to the unstructured utterance through a dynamic bayesian network (DBN). The method further includes providing the at least one probable action obtained by the DBN to the speaker in an order of the posterior probability with respect to each action.

公开(公告)号：US20210051354A1

公开(公告)日：2021-02-18

申请号：US16991619

申请日：2020-08-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Ashwini Kumar ,  Nikhil Verma ,  Anil Kumar

IPC: H04N21/25 ,  G06K9/32 ,  G06N3/04

Abstract: An automated learning system of a content provider includes a database, an image processing unit, and a server. The database stores data related to visual marks, features of the visual marks, a set of discriminating instances, a position of a region of interest, and pre-defined threshold values. The image processing unit includes a detection module, a determination module, and a feature generation module. The detection module detects frames from a primary display device. The determination module extracts a static visual area, and determines a visual mark. The feature generation module generates discriminating features of the visual mark. The server maps the discriminating features with the stored data, identifies at least one closest visual mark, and transmits the updated visual mark and the discriminating features to secondary display devices.